SlideShare une entreprise Scribd logo
1  sur  43
Télécharger pour lire hors ligne
POPI Act Compliance Made Easy
with Data Virtualization
Rethink Your Data
Governance
Speakers
Daniel Gombe
Chief Executive Officer
Rick van der Lans
Independent Industry
Analyst
Chris Fitzpatrick
Partner Sales Engineer
3
About SOIT Business Solutions
business
solutions
2021
Leaders in cyber intelligent
business solutions
OUR EVOLUTION – a timeline
1. Core Infrastructure Services
2. Managed IT
3. Business Advisory and Consulting
Services
4. Learning & Development
5. BI and Analytics
6. Digital Forensics & Data Recovery
03
2016 to date
01
1. Core Infrastructure Services
2. Managed IT Services
2003 - 2008
STARTUP &
DEVELOPMENT
1. Core Infrastructure Services
2. Managed IT Services
3. Business Advisory and Consulting
Services
02
2009 - 2015
GROWTH & SURVIVAL
Why choose soit?
SAVE
MONEY
PREVENT
DATA LOSS
PROTECT
YOUR BRAND
REDUCE
BUSINESS
DISRUPTION
BE
COMPLIANT
Don’t let cyber
attacks have a huge
financial impact on
your company.
Don’t risk losing your
data due to human
error or cybercrime.
Don’t lose customers
by failing to take your
security seriously.
Don’t let cyber threats
disrupt business
continuity
Don’t be caught on
the wrong side of
POPI, GDPR and
related legal
frameworks.
Our approach is simple. We use industry standard tools to analyse your business to identify current and
potential issues as well as areas that need improvement in the field of IT. Once we understand the lay of the
land, we then advise on a way forward in terms of modification, implementation and deployment of relevant
business solutions.
Our aim is to use high-tech solutions to ensure that our clients save money, prevent data loss and protect
their brand.
The SoIT solutions
Digital Forensics
& Investigations
• Data
Acquisitions
• Hard Drive
Analysis
• Mobile Phone
Analysis
• Cyber
Investigations
• Internal
reporting
Managed
Security Services
• Firewalls
• Vulnerability
Assessments
• Penetration
Testing
• Phishing
attacks guard
• Security
Auditing
• Remediation
services
Disaster
Recovery
Services
• DR Planning
• Data Recovery
• Business
Continuity
Planning
• Reporting
Training Services
• Professional
Business
Courses
• Specialist
Courses
• Business Soft
Skills
Custom
Solutions
• Application
Development
• Business
Intelligence &
Data
Virtualisation
• Infrastructure
Services
SOIT and Denodo
• As The Economist put it in a recent headline, “The
world’s most valuable resource is no longer oil, but
data.”
• However, not all companies are able to gain
maximum value from their data and face challenges
where data is stored across many different systems.
Working together, SOIT and Denodo enable
organizations to:
• Develop the most effective strategies for
maximizing the value of their data
• Improve decision making with real time
access to data across disparate sources
• Seamlessly accommodate
incompatibilities between different
systems and BI tools
• Improve consistency and data quality
• Migrate to new systems without having to
rearchitect from the ground up
I will now hand you over to Rick van
der Lans , an industry analyst to
better explain.
Thank you.
11
Simplifying Implementation of
the POPI Act using
Data Virtualization
Copyright © 2021 R20/Consultancy B.V., The Netherlands. All
rights reserved. No part of this material may be reproduced,
stored in a retrieval system, or transmitted in any form or by any
means, electronic, mechanical, photographic, or otherwise,
without the explicit written permission of the copyright owners.
Simplifying
Implementation of the
POPI Act using
Data Virtualization
Rick F. van der Lans
Industry analyst
Email rick@r20.nl
Twitter @rick_vanderlans
www.r20.nl
Copyright © 2021 R20/Consultancy B.V., The Netherlands 13
Rick F. van der Lans
Rick F. van der Lans is a highly-respected independent analyst, consultant, author, and internationally acclaimed
lecturer specializing in data architecture, data warehousing, business intelligence, big data, and database technology.
He is managing director of R20/Consultancy BV.
He has presented countless seminars, webinars, and keynotes at industry-leading conferences. Rick helps clients
worldwide to design their data warehouse, big data, and business intelligence architectures and solutions and assists
them with selecting the right products. He has been influential in introducing the new logical data warehouse
architecture worldwide which helps organizations to develop more agile business intelligence systems.
He is the author of several books on computing, including his new Data Virtualization: Selected Writings and Data
Virtualization for Business Intelligence Systems. Some of these books are available in different languages. Books
such as the popular Introduction to SQL is available in English, Dutch, Italian, Chinese, and German and is sold world
wide. He also authored numerous whitepapers for vendors.
In 2018 he was selected the sixth most influential BI analyst worldwide by onalytica.com.
Ambassador of Axians Business Analytics Laren (formerly Kadenza): This consultancy company specializes in
business intelligence, data management, big data, data warehousing, data virtualization, and analytics. In this part-
time role, Rick works closely together with the consultants in many projects. Their joint experiences and insights are
shared in seminars, webinars, blogs, and whitepapers.
You can get in touch with Rick van der Lans via:
Email: rick@r20.nl
Website: www.r20.nl
Twitter: @Rick_vanderlans
LinkedIn: http://www.linkedin.com/pub/rick-van-der-lans/9/207/223
Copyright © 2021 R20/Consultancy B.V., The Netherlands 14
Agenda and Subjects
1.Short Introduction to
Data Virtualization
2.Use Cases of Data Virtualization
3.Closing Remarks
Copyright © 2021 R20/Consultancy B.V., The Netherlands 15
Part 1:
Short Introduction to Data Virtualization
Copyright © 2021 R20/Consultancy B.V., The Netherlands 16
Data Virtualization Overview (1)
Productio
n
applicatio
n
Websit
e
Analytics
& reporting Mobile
App
Internal
portal
Dashboar
d
JMS
message
SQL
statement
SOAP
message
Data Virtualization Server
SQL Hadoop
Spreads
heet
Cloud
app
ERP
Social
media
ESB Files
Copyright © 2021 R20/Consultancy B.V., The Netherlands 17
Data Virtualization Overview (2)
JMS
message
SQL
statement
SOAP
message
Data Virtualization Server
Producti
on
database
Data
lake
Data
warehou
se
Finance
system
Master
data
Social
media
Message
stream
External
data
Productio
n
applicatio
n
Websit
e
Analytics
& reporting Mobile
App
Internal
portal
Dashboar
d
Copyright © 2021 R20/Consultancy B.V., The Netherlands 18
Data Virtualization Overview (3)
streamin
g
database
s
social
media
data
productio
n
applicatio
n
websit
e
analytics
& reporting
mobil
e
App
interna
l
portal
dashboar
d
privat
e
data
ODBC/S
QL
JDBC/S
QL
XML/SOA
P
REST/JS
ON
XQuer
y
MDX/DA
X
JM
S
SQ
L
SQL
+
XS
LT
Hiv
e
Prop
.
Exc
el
JSO
N
CIC
S
SOA
P
application
s
SQL
statement
JMS
message
SQL
statement
SOAP
message
Data Virtualization Server
unstructured
data
SQL
database
s
Hadoop
,
NoSQL
databas
e
ESB
messagin
g
legacy
databas
e cloud
application
s
Copyright © 2021 R20/Consultancy B.V., The Netherlands 19
Data
Virtualization
Server
Virtual table pointing to
source
Virtual table:
May contain row selections, column
selections, column concatenations,
transformations, column and table name
changes, groupings, aggregations, data
cleansing, …
Data
consumer
Developing Virtual Tables
Sourc
e
Copyright © 2021 R20/Consultancy B.V., The Netherlands 20
Layers of Virtual Tables
Enterprise data
layer
Data consumption
layer
Data source
layer
Data
Virtualization
Server
Source
s
Data
consumers
Copyright © 2021 R20/Consultancy B.V., The Netherlands 21
Sidestep: The Classic Data Warehouse
ET
L
ET
L
ET
L
Source
system
s
Data
marts
Stagin
g
area
Analytics
&
reporting
Data
warehous
e
Data structure
specifications
Integration specifications
Transformation
specifications
Data security specifications
Data cleansing
specifications
Analytical specifications
Visualization specifications
Data privacy specifications
Copyright © 2021 R20/Consultancy B.V., The Netherlands 22
Improved Productity Through Sharing
Enterprise data
layer
Data consumption
layer
Data source
layer
Data
Virtualization
Server
Calculate dead
stock for a product
Determine
customer
churning risk
Copyright © 2021 R20/Consultancy B.V., The Netherlands 23
Centralization of Security and Privacy Rules
Enterprise data
layer
Data consumption
layer
Data source
layer
Data
Virtualization
Server
Mask Data
Authorization
rules
Copyright © 2021 R20/Consultancy B.V., The Netherlands 24
Improved Performance Through Query
Pushdown
Data
source
Data
Virtualizati
on
server
Application
Request
consisting
of eight
operations
Two operations
processed
by data virtualization
server
Six
operations
processed
by data
source
reques
t
Data
source
DV server
Application
Request
consisting
of eight
operations
Six operations
processed
by data virtualization
server
Two
operations
processed
by data
source
reques
t
Copyright © 2021 R20/Consultancy B.V., The Netherlands 25
Part 2:
Use Cases of Data Virtualization
Copyright © 2021 R20/Consultancy B.V., The Netherlands 26
Use Case 1: Self-Service BI
• Self-Service Reporting
• Self-Service Analytics
• Self-Service ETL
• Self-Service Data preparation
• Self-Service …
Copyright © 2021 R20/Consultancy B.V., The Netherlands 27
Heading for an Integration Labyrinth
Self-
service
BI reports
Data
processing
specifications
Data
sources
Copyright © 2021 R20/Consultancy B.V., The Netherlands 28
One “Universal Semantic Layer”
Self-
service
BI reports
Data
processing
specifications
Data
sources
Data
Virtualizatio
n
Server
Copyright © 2021 R20/Consultancy B.V., The Netherlands 29
Use Case 2: The Logical Data Warehouse
Architecture
ET
L
ET
L
Source
system
s
Staging
area
Analytics
&
reporting
Data
warehouse
Other
data
sources
Logical Data Warehouse
Architecture
Data
Virtualization
Big
data
Repositor
y
Master
data
Copyright © 2021 R20/Consultancy B.V., The Netherlands 30
Use Case 3: The Data Lake
Data
sources Investigativ
e
analytics
ET
Data
lake
ETL
ETL
ETL
Data
science
ET
Photo: Chris
Copyright © 2021 R20/Consultancy B.V., The Netherlands 31
Challenges of a Physical Data Lake
• Big data too big to move
• Too slow to copy and bandwidth issues
• Complex “T” moved to data usage
• Data herding
• Company politics
• Data privacy and protection regulations
• Data in data lake is stored outside original security realm
• Metadata to describe data
• Some sources are hard to copy
• For example, mainframe data
• Refreshing of data lake
• …
Data
lake
Copyright © 2021 R20/Consultancy B.V., The Netherlands 32
Photo: Chris
The Business Data Lake
Landing Zone
Bronze Zone
Raw Tier
Refinery Zone
Silver Zone
Work Tier
Production Zone
Lagoon
Gold Tier
Access Tier
Data
sources
Copyright © 2021 R20/Consultancy B.V., The Netherlands 33
The Logical (Virtual) Data Lake
Data
sources
ETL ETL Cached Cached
Data Virtualization
Data
Scientists
Copyright © 2021 R20/Consultancy B.V., The Netherlands 34
Use Case 4: Simplifying Big Data Access
Big
data
Data Virtualization Server
Big
data
Enterpris
e
data
Enterpris
e
data
Copyright © 2021 R20/Consultancy B.V., The Netherlands 35
Use Case 5: Replacing File Transfer
databas
e
Sending
company
Applicatio
n 1
1. Extract
fil
e
databas
e
Sending
company
Applicatio
n 1
databas
e
Receiving
company
Applicatio
n 2
3. Load
fil
e
databas
e
Receiving
company
2. Send
Data
virtualization
Applicatio
n 2
1. Query
2. Reply
Copyright © 2021 R20/Consultancy B.V., The Netherlands 36
Part 3:
Closing Remarks
Copyright © 2021 R20/Consultancy B.V., The Netherlands 37
Closing Remarks
• Data virtualization centralizes data security rules
• Data virtualization centralizes data privacy rules
• Data virtualization extends security capabilities of underlying source systems
• Data virtualization minimizes data redundancy
• Data virtualization enables data-on-demand
38
DEMO
39
Denodo Platform Architecture
U
LoB
View
Mart
View
J
Application
Layer
Business
Layer
Unified View Unified View
Unified View
Unified View
A
J
J
Derived
View
Derived
View
J
J
S
Transformation
& Cleansing
Data
Source
Layer
Base
View
Base
View
Base
View
Base
View
Base
View
Base
View
Base
View
Abstraction
40
Granular Data Governance
All the data Virtual Database View Row and column Individual cell
41
NEXT STEP
https://pages.denodo.com/Assessment-SOIT.html
Q & A
Thanks!
http://partners.denodo.co
m
marketing.partners@denodo.c
om
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying
and microfilm, without prior the written authorization from Denodo Technologies.

Contenu connexe

Tendances

Data Virtualization - Enabling Next Generation Analytics
Data Virtualization - Enabling Next Generation AnalyticsData Virtualization - Enabling Next Generation Analytics
Data Virtualization - Enabling Next Generation AnalyticsDenodo
 
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
 
Reinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital TransformationReinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital TransformationDenodo
 
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?Denodo
 
Why Data Virtualization? An Introduction.
Why Data Virtualization? An Introduction.Why Data Virtualization? An Introduction.
Why Data Virtualization? An Introduction.Denodo
 
Agile Data Management with Enterprise Data Fabric (ASEAN)
Agile Data Management with Enterprise Data Fabric (ASEAN)Agile Data Management with Enterprise Data Fabric (ASEAN)
Agile Data Management with Enterprise Data Fabric (ASEAN)Denodo
 
Why Data Virtualization? An Introduction
Why Data Virtualization? An IntroductionWhy Data Virtualization? An Introduction
Why Data Virtualization? An IntroductionDenodo
 
Data Virtualization: An Introduction
Data Virtualization: An IntroductionData Virtualization: An Introduction
Data Virtualization: An IntroductionDenodo
 
Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)Denodo
 
Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)Denodo
 
GDPR Noncompliance: Avoid the Risk with Data Virtualization
GDPR Noncompliance: Avoid the Risk with Data VirtualizationGDPR Noncompliance: Avoid the Risk with Data Virtualization
GDPR Noncompliance: Avoid the Risk with Data VirtualizationDenodo
 
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)Denodo
 
KASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationKASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationDenodo
 
Data Virtualization for Data Architects (Australia)
Data Virtualization for Data Architects (Australia)Data Virtualization for Data Architects (Australia)
Data Virtualization for Data Architects (Australia)Denodo
 
Data Lake Acceleration vs. Data Virtualization - What’s the difference?
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Data Lake Acceleration vs. Data Virtualization - What’s the difference?
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Denodo
 
Data virtualization an introduction
Data virtualization an introductionData virtualization an introduction
Data virtualization an introductionDenodo
 
Flash session -streaming--ses1243-lon
Flash session -streaming--ses1243-lonFlash session -streaming--ses1243-lon
Flash session -streaming--ses1243-lonJeffrey T. Pollock
 
Best Practices for Migrating from Denodo 6.x to 7.0
Best Practices for Migrating from Denodo 6.x to 7.0Best Practices for Migrating from Denodo 6.x to 7.0
Best Practices for Migrating from Denodo 6.x to 7.0Denodo
 
Multi-Cloud Integration with Data Virtualization (ASEAN)
Multi-Cloud Integration with Data Virtualization (ASEAN)Multi-Cloud Integration with Data Virtualization (ASEAN)
Multi-Cloud Integration with Data Virtualization (ASEAN)Denodo
 

Tendances (20)

Data Virtualization - Enabling Next Generation Analytics
Data Virtualization - Enabling Next Generation AnalyticsData Virtualization - Enabling Next Generation Analytics
Data Virtualization - Enabling Next Generation Analytics
 
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)
 
Reinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital TransformationReinvent Your Data Management Strategy for Successful Digital Transformation
Reinvent Your Data Management Strategy for Successful Digital Transformation
 
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
 
Why Data Virtualization? An Introduction.
Why Data Virtualization? An Introduction.Why Data Virtualization? An Introduction.
Why Data Virtualization? An Introduction.
 
Agile Data Management with Enterprise Data Fabric (ASEAN)
Agile Data Management with Enterprise Data Fabric (ASEAN)Agile Data Management with Enterprise Data Fabric (ASEAN)
Agile Data Management with Enterprise Data Fabric (ASEAN)
 
Why Data Virtualization? An Introduction
Why Data Virtualization? An IntroductionWhy Data Virtualization? An Introduction
Why Data Virtualization? An Introduction
 
[XConf Brasil 2020] Data mesh
[XConf Brasil 2020] Data mesh[XConf Brasil 2020] Data mesh
[XConf Brasil 2020] Data mesh
 
Data Virtualization: An Introduction
Data Virtualization: An IntroductionData Virtualization: An Introduction
Data Virtualization: An Introduction
 
Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)
 
Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)
 
GDPR Noncompliance: Avoid the Risk with Data Virtualization
GDPR Noncompliance: Avoid the Risk with Data VirtualizationGDPR Noncompliance: Avoid the Risk with Data Virtualization
GDPR Noncompliance: Avoid the Risk with Data Virtualization
 
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)
 
KASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationKASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
KASHTECH AND DENODO: ROI and Economic Value of Data Virtualization
 
Data Virtualization for Data Architects (Australia)
Data Virtualization for Data Architects (Australia)Data Virtualization for Data Architects (Australia)
Data Virtualization for Data Architects (Australia)
 
Data Lake Acceleration vs. Data Virtualization - What’s the difference?
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Data Lake Acceleration vs. Data Virtualization - What’s the difference?
Data Lake Acceleration vs. Data Virtualization - What’s the difference?
 
Data virtualization an introduction
Data virtualization an introductionData virtualization an introduction
Data virtualization an introduction
 
Flash session -streaming--ses1243-lon
Flash session -streaming--ses1243-lonFlash session -streaming--ses1243-lon
Flash session -streaming--ses1243-lon
 
Best Practices for Migrating from Denodo 6.x to 7.0
Best Practices for Migrating from Denodo 6.x to 7.0Best Practices for Migrating from Denodo 6.x to 7.0
Best Practices for Migrating from Denodo 6.x to 7.0
 
Multi-Cloud Integration with Data Virtualization (ASEAN)
Multi-Cloud Integration with Data Virtualization (ASEAN)Multi-Cloud Integration with Data Virtualization (ASEAN)
Multi-Cloud Integration with Data Virtualization (ASEAN)
 

Similaire à Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtualization (South Africa)

IP&A109 Next-Generation Analytics Architecture for the Year 2020
IP&A109 Next-Generation Analytics Architecture for the Year 2020IP&A109 Next-Generation Analytics Architecture for the Year 2020
IP&A109 Next-Generation Analytics Architecture for the Year 2020Anjan Roy, PMP
 
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...Impulser la digitalisation et modernisation de la fonction Finance grâce à la...
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...Denodo
 
Three Dimensions of Data as a Service
Three Dimensions of Data as a ServiceThree Dimensions of Data as a Service
Three Dimensions of Data as a ServiceDenodo
 
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...Inside Analysis
 
Whitepaper Inergy Jan 2015 V1
Whitepaper Inergy Jan 2015 V1Whitepaper Inergy Jan 2015 V1
Whitepaper Inergy Jan 2015 V1Inergy
 
Whitepaper inergy jan 2015 v1
Whitepaper inergy jan 2015 v1Whitepaper inergy jan 2015 v1
Whitepaper inergy jan 2015 v1Inergy
 
The Agile Analyst: Solving the Data Problem with Virtualization
The Agile Analyst: Solving the Data Problem with VirtualizationThe Agile Analyst: Solving the Data Problem with Virtualization
The Agile Analyst: Solving the Data Problem with VirtualizationInside Analysis
 
Building Resiliency and Agility with Data Virtualization for the New Normal
Building Resiliency and Agility with Data Virtualization for the New NormalBuilding Resiliency and Agility with Data Virtualization for the New Normal
Building Resiliency and Agility with Data Virtualization for the New NormalDenodo
 
MongoDB World 2016 Giant Ideas Stage eBook
MongoDB World 2016 Giant Ideas Stage eBookMongoDB World 2016 Giant Ideas Stage eBook
MongoDB World 2016 Giant Ideas Stage eBookMongoDB
 
Accelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and VisualizationAccelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
 
ConIT's Service Stack and Toolchain
ConIT's Service Stack and ToolchainConIT's Service Stack and Toolchain
ConIT's Service Stack and ToolchainCode Runners
 
Di in the age of digital disruptions v1.0
Di in the age of digital disruptions v1.0Di in the age of digital disruptions v1.0
Di in the age of digital disruptions v1.0Amar Roy
 
Why Data Virtualization? By Rick van der Lans
Why Data Virtualization? By Rick van der LansWhy Data Virtualization? By Rick van der Lans
Why Data Virtualization? By Rick van der LansDenodo
 
THE INDUSTRY'S FIRST VIRTUAL EVENT IN ROMANIA - Why Data Virtualization is a ...
THE INDUSTRY'S FIRST VIRTUAL EVENT IN ROMANIA - Why Data Virtualization is a ...THE INDUSTRY'S FIRST VIRTUAL EVENT IN ROMANIA - Why Data Virtualization is a ...
THE INDUSTRY'S FIRST VIRTUAL EVENT IN ROMANIA - Why Data Virtualization is a ...Denodo
 
Business Intelligence Meets Big Data Variety
Business Intelligence Meets Big Data VarietyBusiness Intelligence Meets Big Data Variety
Business Intelligence Meets Big Data Varietywww.panorama.com
 
Connecting Salesforce.com & Office 365 using Microsoft Flow & PowerApps
Connecting Salesforce.com & Office 365 using Microsoft Flow & PowerAppsConnecting Salesforce.com & Office 365 using Microsoft Flow & PowerApps
Connecting Salesforce.com & Office 365 using Microsoft Flow & PowerAppsJared Matfess
 
Managing the Impact of COVID-19 Using Data Virtualization
Managing the Impact of COVID-19 Using Data VirtualizationManaging the Impact of COVID-19 Using Data Virtualization
Managing the Impact of COVID-19 Using Data VirtualizationDenodo
 
Visionet Business Intelligence Solutions - Is your Business Intelligence real...
Visionet Business Intelligence Solutions - Is your Business Intelligence real...Visionet Business Intelligence Solutions - Is your Business Intelligence real...
Visionet Business Intelligence Solutions - Is your Business Intelligence real...Visionet Systems, Inc.
 
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...Denodo
 
NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...
NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...
NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...Denodo
 

Similaire à Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtualization (South Africa) (20)

IP&A109 Next-Generation Analytics Architecture for the Year 2020
IP&A109 Next-Generation Analytics Architecture for the Year 2020IP&A109 Next-Generation Analytics Architecture for the Year 2020
IP&A109 Next-Generation Analytics Architecture for the Year 2020
 
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...Impulser la digitalisation et modernisation de la fonction Finance grâce à la...
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...
 
Three Dimensions of Data as a Service
Three Dimensions of Data as a ServiceThree Dimensions of Data as a Service
Three Dimensions of Data as a Service
 
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...
 
Whitepaper Inergy Jan 2015 V1
Whitepaper Inergy Jan 2015 V1Whitepaper Inergy Jan 2015 V1
Whitepaper Inergy Jan 2015 V1
 
Whitepaper inergy jan 2015 v1
Whitepaper inergy jan 2015 v1Whitepaper inergy jan 2015 v1
Whitepaper inergy jan 2015 v1
 
The Agile Analyst: Solving the Data Problem with Virtualization
The Agile Analyst: Solving the Data Problem with VirtualizationThe Agile Analyst: Solving the Data Problem with Virtualization
The Agile Analyst: Solving the Data Problem with Virtualization
 
Building Resiliency and Agility with Data Virtualization for the New Normal
Building Resiliency and Agility with Data Virtualization for the New NormalBuilding Resiliency and Agility with Data Virtualization for the New Normal
Building Resiliency and Agility with Data Virtualization for the New Normal
 
MongoDB World 2016 Giant Ideas Stage eBook
MongoDB World 2016 Giant Ideas Stage eBookMongoDB World 2016 Giant Ideas Stage eBook
MongoDB World 2016 Giant Ideas Stage eBook
 
Accelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and VisualizationAccelerate Self-Service Analytics with Data Virtualization and Visualization
Accelerate Self-Service Analytics with Data Virtualization and Visualization
 
ConIT's Service Stack and Toolchain
ConIT's Service Stack and ToolchainConIT's Service Stack and Toolchain
ConIT's Service Stack and Toolchain
 
Di in the age of digital disruptions v1.0
Di in the age of digital disruptions v1.0Di in the age of digital disruptions v1.0
Di in the age of digital disruptions v1.0
 
Why Data Virtualization? By Rick van der Lans
Why Data Virtualization? By Rick van der LansWhy Data Virtualization? By Rick van der Lans
Why Data Virtualization? By Rick van der Lans
 
THE INDUSTRY'S FIRST VIRTUAL EVENT IN ROMANIA - Why Data Virtualization is a ...
THE INDUSTRY'S FIRST VIRTUAL EVENT IN ROMANIA - Why Data Virtualization is a ...THE INDUSTRY'S FIRST VIRTUAL EVENT IN ROMANIA - Why Data Virtualization is a ...
THE INDUSTRY'S FIRST VIRTUAL EVENT IN ROMANIA - Why Data Virtualization is a ...
 
Business Intelligence Meets Big Data Variety
Business Intelligence Meets Big Data VarietyBusiness Intelligence Meets Big Data Variety
Business Intelligence Meets Big Data Variety
 
Connecting Salesforce.com & Office 365 using Microsoft Flow & PowerApps
Connecting Salesforce.com & Office 365 using Microsoft Flow & PowerAppsConnecting Salesforce.com & Office 365 using Microsoft Flow & PowerApps
Connecting Salesforce.com & Office 365 using Microsoft Flow & PowerApps
 
Managing the Impact of COVID-19 Using Data Virtualization
Managing the Impact of COVID-19 Using Data VirtualizationManaging the Impact of COVID-19 Using Data Virtualization
Managing the Impact of COVID-19 Using Data Virtualization
 
Visionet Business Intelligence Solutions - Is your Business Intelligence real...
Visionet Business Intelligence Solutions - Is your Business Intelligence real...Visionet Business Intelligence Solutions - Is your Business Intelligence real...
Visionet Business Intelligence Solutions - Is your Business Intelligence real...
 
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
 
NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...
NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...
NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...
 

Plus de Denodo

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoDenodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachDenodo
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerDenodo
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?Denodo
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Denodo
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDenodo
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationDenodo
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardDenodo
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Denodo
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Denodo
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?Denodo
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesDenodo
 
Lunch and Learn ANZ: Shaping the Role of a Data Lake in a Modern Data Fabric ...
Lunch and Learn ANZ: Shaping the Role of a Data Lake in a Modern Data Fabric ...Lunch and Learn ANZ: Shaping the Role of a Data Lake in a Modern Data Fabric ...
Lunch and Learn ANZ: Shaping the Role of a Data Lake in a Modern Data Fabric ...Denodo
 
Denodo Partner Connect: Technical Webinar - Ask Me Anything
Denodo Partner Connect: Technical Webinar - Ask Me AnythingDenodo Partner Connect: Technical Webinar - Ask Me Anything
Denodo Partner Connect: Technical Webinar - Ask Me AnythingDenodo
 
La Data Virtualization par Orano : cas d'usage à la Hague et démo de Denodo
La Data Virtualization par Orano : cas d'usage à la Hague et démo de DenodoLa Data Virtualization par Orano : cas d'usage à la Hague et démo de Denodo
La Data Virtualization par Orano : cas d'usage à la Hague et démo de DenodoDenodo
 

Plus de Denodo (20)

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
 
Lunch and Learn ANZ: Shaping the Role of a Data Lake in a Modern Data Fabric ...
Lunch and Learn ANZ: Shaping the Role of a Data Lake in a Modern Data Fabric ...Lunch and Learn ANZ: Shaping the Role of a Data Lake in a Modern Data Fabric ...
Lunch and Learn ANZ: Shaping the Role of a Data Lake in a Modern Data Fabric ...
 
Denodo Partner Connect: Technical Webinar - Ask Me Anything
Denodo Partner Connect: Technical Webinar - Ask Me AnythingDenodo Partner Connect: Technical Webinar - Ask Me Anything
Denodo Partner Connect: Technical Webinar - Ask Me Anything
 
La Data Virtualization par Orano : cas d'usage à la Hague et démo de Denodo
La Data Virtualization par Orano : cas d'usage à la Hague et démo de DenodoLa Data Virtualization par Orano : cas d'usage à la Hague et démo de Denodo
La Data Virtualization par Orano : cas d'usage à la Hague et démo de Denodo
 

Dernier

Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityAggregage
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxVenkatasubramani13
 
AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)Data & Analytics Magazin
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Guido X Jansen
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...PrithaVashisht1
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptaigil2
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024Becky Burwell
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionajayrajaganeshkayala
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?sonikadigital1
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best PracticesDataArchiva
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.JasonViviers2
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationGiorgio Carbone
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Vladislav Solodkiy
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introductionsanjaymuralee1
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxDwiAyuSitiHartinah
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerPavel Šabatka
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructuresonikadigital1
 

Dernier (17)

Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptx
 
AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .ppt
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual intervention
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - Presentation
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introduction
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayer
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructure
 

Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtualization (South Africa)

  • 1. POPI Act Compliance Made Easy with Data Virtualization Rethink Your Data Governance
  • 2. Speakers Daniel Gombe Chief Executive Officer Rick van der Lans Independent Industry Analyst Chris Fitzpatrick Partner Sales Engineer
  • 4. business solutions 2021 Leaders in cyber intelligent business solutions
  • 5. OUR EVOLUTION – a timeline 1. Core Infrastructure Services 2. Managed IT 3. Business Advisory and Consulting Services 4. Learning & Development 5. BI and Analytics 6. Digital Forensics & Data Recovery 03 2016 to date 01 1. Core Infrastructure Services 2. Managed IT Services 2003 - 2008 STARTUP & DEVELOPMENT 1. Core Infrastructure Services 2. Managed IT Services 3. Business Advisory and Consulting Services 02 2009 - 2015 GROWTH & SURVIVAL
  • 6. Why choose soit? SAVE MONEY PREVENT DATA LOSS PROTECT YOUR BRAND REDUCE BUSINESS DISRUPTION BE COMPLIANT Don’t let cyber attacks have a huge financial impact on your company. Don’t risk losing your data due to human error or cybercrime. Don’t lose customers by failing to take your security seriously. Don’t let cyber threats disrupt business continuity Don’t be caught on the wrong side of POPI, GDPR and related legal frameworks. Our approach is simple. We use industry standard tools to analyse your business to identify current and potential issues as well as areas that need improvement in the field of IT. Once we understand the lay of the land, we then advise on a way forward in terms of modification, implementation and deployment of relevant business solutions. Our aim is to use high-tech solutions to ensure that our clients save money, prevent data loss and protect their brand.
  • 7. The SoIT solutions Digital Forensics & Investigations • Data Acquisitions • Hard Drive Analysis • Mobile Phone Analysis • Cyber Investigations • Internal reporting Managed Security Services • Firewalls • Vulnerability Assessments • Penetration Testing • Phishing attacks guard • Security Auditing • Remediation services Disaster Recovery Services • DR Planning • Data Recovery • Business Continuity Planning • Reporting Training Services • Professional Business Courses • Specialist Courses • Business Soft Skills Custom Solutions • Application Development • Business Intelligence & Data Virtualisation • Infrastructure Services
  • 8. SOIT and Denodo • As The Economist put it in a recent headline, “The world’s most valuable resource is no longer oil, but data.” • However, not all companies are able to gain maximum value from their data and face challenges where data is stored across many different systems.
  • 9. Working together, SOIT and Denodo enable organizations to: • Develop the most effective strategies for maximizing the value of their data • Improve decision making with real time access to data across disparate sources • Seamlessly accommodate incompatibilities between different systems and BI tools • Improve consistency and data quality • Migrate to new systems without having to rearchitect from the ground up
  • 10. I will now hand you over to Rick van der Lans , an industry analyst to better explain. Thank you.
  • 11. 11 Simplifying Implementation of the POPI Act using Data Virtualization
  • 12. Copyright © 2021 R20/Consultancy B.V., The Netherlands. All rights reserved. No part of this material may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photographic, or otherwise, without the explicit written permission of the copyright owners. Simplifying Implementation of the POPI Act using Data Virtualization Rick F. van der Lans Industry analyst Email rick@r20.nl Twitter @rick_vanderlans www.r20.nl
  • 13. Copyright © 2021 R20/Consultancy B.V., The Netherlands 13 Rick F. van der Lans Rick F. van der Lans is a highly-respected independent analyst, consultant, author, and internationally acclaimed lecturer specializing in data architecture, data warehousing, business intelligence, big data, and database technology. He is managing director of R20/Consultancy BV. He has presented countless seminars, webinars, and keynotes at industry-leading conferences. Rick helps clients worldwide to design their data warehouse, big data, and business intelligence architectures and solutions and assists them with selecting the right products. He has been influential in introducing the new logical data warehouse architecture worldwide which helps organizations to develop more agile business intelligence systems. He is the author of several books on computing, including his new Data Virtualization: Selected Writings and Data Virtualization for Business Intelligence Systems. Some of these books are available in different languages. Books such as the popular Introduction to SQL is available in English, Dutch, Italian, Chinese, and German and is sold world wide. He also authored numerous whitepapers for vendors. In 2018 he was selected the sixth most influential BI analyst worldwide by onalytica.com. Ambassador of Axians Business Analytics Laren (formerly Kadenza): This consultancy company specializes in business intelligence, data management, big data, data warehousing, data virtualization, and analytics. In this part- time role, Rick works closely together with the consultants in many projects. Their joint experiences and insights are shared in seminars, webinars, blogs, and whitepapers. You can get in touch with Rick van der Lans via: Email: rick@r20.nl Website: www.r20.nl Twitter: @Rick_vanderlans LinkedIn: http://www.linkedin.com/pub/rick-van-der-lans/9/207/223
  • 14. Copyright © 2021 R20/Consultancy B.V., The Netherlands 14 Agenda and Subjects 1.Short Introduction to Data Virtualization 2.Use Cases of Data Virtualization 3.Closing Remarks
  • 15. Copyright © 2021 R20/Consultancy B.V., The Netherlands 15 Part 1: Short Introduction to Data Virtualization
  • 16. Copyright © 2021 R20/Consultancy B.V., The Netherlands 16 Data Virtualization Overview (1) Productio n applicatio n Websit e Analytics & reporting Mobile App Internal portal Dashboar d JMS message SQL statement SOAP message Data Virtualization Server SQL Hadoop Spreads heet Cloud app ERP Social media ESB Files
  • 17. Copyright © 2021 R20/Consultancy B.V., The Netherlands 17 Data Virtualization Overview (2) JMS message SQL statement SOAP message Data Virtualization Server Producti on database Data lake Data warehou se Finance system Master data Social media Message stream External data Productio n applicatio n Websit e Analytics & reporting Mobile App Internal portal Dashboar d
  • 18. Copyright © 2021 R20/Consultancy B.V., The Netherlands 18 Data Virtualization Overview (3) streamin g database s social media data productio n applicatio n websit e analytics & reporting mobil e App interna l portal dashboar d privat e data ODBC/S QL JDBC/S QL XML/SOA P REST/JS ON XQuer y MDX/DA X JM S SQ L SQL + XS LT Hiv e Prop . Exc el JSO N CIC S SOA P application s SQL statement JMS message SQL statement SOAP message Data Virtualization Server unstructured data SQL database s Hadoop , NoSQL databas e ESB messagin g legacy databas e cloud application s
  • 19. Copyright © 2021 R20/Consultancy B.V., The Netherlands 19 Data Virtualization Server Virtual table pointing to source Virtual table: May contain row selections, column selections, column concatenations, transformations, column and table name changes, groupings, aggregations, data cleansing, … Data consumer Developing Virtual Tables Sourc e
  • 20. Copyright © 2021 R20/Consultancy B.V., The Netherlands 20 Layers of Virtual Tables Enterprise data layer Data consumption layer Data source layer Data Virtualization Server Source s Data consumers
  • 21. Copyright © 2021 R20/Consultancy B.V., The Netherlands 21 Sidestep: The Classic Data Warehouse ET L ET L ET L Source system s Data marts Stagin g area Analytics & reporting Data warehous e Data structure specifications Integration specifications Transformation specifications Data security specifications Data cleansing specifications Analytical specifications Visualization specifications Data privacy specifications
  • 22. Copyright © 2021 R20/Consultancy B.V., The Netherlands 22 Improved Productity Through Sharing Enterprise data layer Data consumption layer Data source layer Data Virtualization Server Calculate dead stock for a product Determine customer churning risk
  • 23. Copyright © 2021 R20/Consultancy B.V., The Netherlands 23 Centralization of Security and Privacy Rules Enterprise data layer Data consumption layer Data source layer Data Virtualization Server Mask Data Authorization rules
  • 24. Copyright © 2021 R20/Consultancy B.V., The Netherlands 24 Improved Performance Through Query Pushdown Data source Data Virtualizati on server Application Request consisting of eight operations Two operations processed by data virtualization server Six operations processed by data source reques t Data source DV server Application Request consisting of eight operations Six operations processed by data virtualization server Two operations processed by data source reques t
  • 25. Copyright © 2021 R20/Consultancy B.V., The Netherlands 25 Part 2: Use Cases of Data Virtualization
  • 26. Copyright © 2021 R20/Consultancy B.V., The Netherlands 26 Use Case 1: Self-Service BI • Self-Service Reporting • Self-Service Analytics • Self-Service ETL • Self-Service Data preparation • Self-Service …
  • 27. Copyright © 2021 R20/Consultancy B.V., The Netherlands 27 Heading for an Integration Labyrinth Self- service BI reports Data processing specifications Data sources
  • 28. Copyright © 2021 R20/Consultancy B.V., The Netherlands 28 One “Universal Semantic Layer” Self- service BI reports Data processing specifications Data sources Data Virtualizatio n Server
  • 29. Copyright © 2021 R20/Consultancy B.V., The Netherlands 29 Use Case 2: The Logical Data Warehouse Architecture ET L ET L Source system s Staging area Analytics & reporting Data warehouse Other data sources Logical Data Warehouse Architecture Data Virtualization Big data Repositor y Master data
  • 30. Copyright © 2021 R20/Consultancy B.V., The Netherlands 30 Use Case 3: The Data Lake Data sources Investigativ e analytics ET Data lake ETL ETL ETL Data science ET Photo: Chris
  • 31. Copyright © 2021 R20/Consultancy B.V., The Netherlands 31 Challenges of a Physical Data Lake • Big data too big to move • Too slow to copy and bandwidth issues • Complex “T” moved to data usage • Data herding • Company politics • Data privacy and protection regulations • Data in data lake is stored outside original security realm • Metadata to describe data • Some sources are hard to copy • For example, mainframe data • Refreshing of data lake • … Data lake
  • 32. Copyright © 2021 R20/Consultancy B.V., The Netherlands 32 Photo: Chris The Business Data Lake Landing Zone Bronze Zone Raw Tier Refinery Zone Silver Zone Work Tier Production Zone Lagoon Gold Tier Access Tier Data sources
  • 33. Copyright © 2021 R20/Consultancy B.V., The Netherlands 33 The Logical (Virtual) Data Lake Data sources ETL ETL Cached Cached Data Virtualization Data Scientists
  • 34. Copyright © 2021 R20/Consultancy B.V., The Netherlands 34 Use Case 4: Simplifying Big Data Access Big data Data Virtualization Server Big data Enterpris e data Enterpris e data
  • 35. Copyright © 2021 R20/Consultancy B.V., The Netherlands 35 Use Case 5: Replacing File Transfer databas e Sending company Applicatio n 1 1. Extract fil e databas e Sending company Applicatio n 1 databas e Receiving company Applicatio n 2 3. Load fil e databas e Receiving company 2. Send Data virtualization Applicatio n 2 1. Query 2. Reply
  • 36. Copyright © 2021 R20/Consultancy B.V., The Netherlands 36 Part 3: Closing Remarks
  • 37. Copyright © 2021 R20/Consultancy B.V., The Netherlands 37 Closing Remarks • Data virtualization centralizes data security rules • Data virtualization centralizes data privacy rules • Data virtualization extends security capabilities of underlying source systems • Data virtualization minimizes data redundancy • Data virtualization enables data-on-demand
  • 39. 39 Denodo Platform Architecture U LoB View Mart View J Application Layer Business Layer Unified View Unified View Unified View Unified View A J J Derived View Derived View J J S Transformation & Cleansing Data Source Layer Base View Base View Base View Base View Base View Base View Base View Abstraction
  • 40. 40 Granular Data Governance All the data Virtual Database View Row and column Individual cell
  • 42. Q & A
  • 43. Thanks! http://partners.denodo.co m marketing.partners@denodo.c om © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies.