SlideShare une entreprise Scribd logo
1  sur  12
A ZEN JOURNEY TO
DATABASE MANAGEMENT
Featuring
A Customer Success Story
TECHNOLOGY DRIVES THE SPEED OF BUSINESS
The emergence of ‘Big Data’, the ‘Internet of Things’, and ‘Hybrid cloud’ applications are providing
businesses with the capability to perform faster, smarter, and more efficiently than ever. In order to
harness that competitive edge, companies need a robust foundation to manage their data and run
mission-critical applications.
Big Data Internet of Things Hybrid Cloud
Faster Smarter Efficiently
World's data doubling
every two years
28 billion IoT devices to
be operational by 2020
50% of enterprises will use
hybrid cloud by 2017
Source: IDC
THE EVOLUTION IN DATABASE MANAGEMENT
To cope with the tremendous
growth of new apps and
unstructured data (especially
in social media, gaming, and
mobile), enterprises are
changing their approach to
database management.
of all digital information
today is unstructured data90%Source: IDC
THE EVOLUTION IN DATABASE MANAGEMENT
Companies that generate vast amounts of data are now migrating to NoSQL databases as
the preferred alternative to traditional relational databases, which lack the flexibility to handle
massive amounts of unstructured data.
Unstructured data
NoSQL Database
WHITEPAGES – A DATABASE CASE STUDY
Whitepages is the leading source for contact information in North America, providing access
to 250 million personal identities for over 55 million unique visitors a month.
For their storage needs, Whitepages relied on relational databases. As the company grew and
launched new applications (like Caller ID), they were faced with the challenge of scaling their
database infrastructure while ensuring availability.
55 M
250 M
WHITEPAGES’ KEY EVALUATION CRITERIA
They needed a scalable solution that would provide:
• Operational simplicity
• Ease of administration while
scaling up or down
• Database robustness if a
node crashed
• Allow for reading and writing
data in the event of a
hardware or network outage
• Capacity to expand without
losing any uptime
…AND THE WINNER IS BASHO RIAK KV!
Whitepages evaluated a number of database solutions including Hbase, Postgres, Cassandra,
and Basho Riak KV to meet growing data requirements.
Riak KV was the clear winner for:
High availability
Scalability
Fault-tolerance
Operational simplicity
THE PERFECT SOLUTION
Riak KV was extremely easy to set up,
configure, and scale up. We ran benchmarks,
which all met or exceeded our expectations. It
delivered on its promise of resiliency against
the loss of a node, so it was a perfect solution
for us. Since deployment, Riak has been one
of the most trouble-free solutions we’ve
operated at Whitepages. It just works!
With Riak KV, Whitepages was able to increase stability for its Caller ID app,
achieve scaling goals at minimal cost, and reduce operational complexity.
“
”– Devin Ben-Hur
Senior Architect
Whitepages
WHY CUSTOMERS CHOOSE RIAK
More and more companies are migrating to Riak for its scalability and fault tolerance
– the two leading IT challenges facing enterprises today.
14%
Reduce IT
infrastructure costs
34%
75%
32%
Meet performance and
QoS SLAs
Meet scalability
requirements
Support business
growth expectations
45%
61%
Support higher
uptime SLAs
Simplicity of operations
(fault tolerance, ease of
management, stability)
Multi-model approach with
integration of key/value,
storage and search
Other
Top Reasons Customers Select Riak
27%
14%
Multiple-choice survey conducted by TechValidate. Response percentages may not add up to 100.
BRINGING ZEN TO THE DELUGE OF DATA
Basho specializes in solving critical data management challenges for enterprises, with
products designed to ensure the resilience and performance of key business applications:
Controls and simplifies distributed Big Data and IoT
applications; provides integration with Redis,
Spark and Solr.
Distributed NoSQL database – guarantees reads
and writes even in the event of hardware failures
or network partitions
Cloud storage software – more cost-effective than
traditional storage; compatible with Amazon S3
and OpenStack Swift for easy integration
FOR FAST-GROWING WEB BUSINESSES
More than 30 percent of Fortune 50 companies use Basho to power their critical web,
mobile and social applications, and their public and private cloud platforms.
With a payback period averaging 12-18 months, an investment in Riak can truly be a Zen journey.
TAME BIG DATA
To learn more about how Basho helped
Whitepages meet their growing data
requirements, please
CLICK HERE

Contenu connexe

Tendances

Columbia Migrates from Legacy Data Warehouse to an Open Data Platform with De...
Columbia Migrates from Legacy Data Warehouse to an Open Data Platform with De...Columbia Migrates from Legacy Data Warehouse to an Open Data Platform with De...
Columbia Migrates from Legacy Data Warehouse to an Open Data Platform with De...Databricks
 
IBM Cloud Day January 2021 - A well architected data lake
IBM Cloud Day January 2021 - A well architected data lakeIBM Cloud Day January 2021 - A well architected data lake
IBM Cloud Day January 2021 - A well architected data lakeTorsten Steinbach
 
Building Data Intensive Analytic Application on Top of Delta Lakes
Building Data Intensive Analytic Application on Top of Delta LakesBuilding Data Intensive Analytic Application on Top of Delta Lakes
Building Data Intensive Analytic Application on Top of Delta LakesDatabricks
 
Azure Data Lake and Azure Data Lake Analytics
Azure Data Lake and Azure Data Lake AnalyticsAzure Data Lake and Azure Data Lake Analytics
Azure Data Lake and Azure Data Lake AnalyticsWaqas Idrees
 
Building a Data Lake on AWS
Building a Data Lake on AWSBuilding a Data Lake on AWS
Building a Data Lake on AWSGary Stafford
 
Achieving Lakehouse Models with Spark 3.0
Achieving Lakehouse Models with Spark 3.0Achieving Lakehouse Models with Spark 3.0
Achieving Lakehouse Models with Spark 3.0Databricks
 
Moving to Databricks & Delta
Moving to Databricks & DeltaMoving to Databricks & Delta
Moving to Databricks & DeltaDatabricks
 
Introduction SQL Analytics on Lakehouse Architecture
Introduction SQL Analytics on Lakehouse ArchitectureIntroduction SQL Analytics on Lakehouse Architecture
Introduction SQL Analytics on Lakehouse ArchitectureDatabricks
 
Simplifying Change Data Capture using Databricks Delta
Simplifying Change Data Capture using Databricks DeltaSimplifying Change Data Capture using Databricks Delta
Simplifying Change Data Capture using Databricks DeltaDatabricks
 
Cortana Analytics Workshop: Operationalizing Your End-to-End Analytics Solution
Cortana Analytics Workshop: Operationalizing Your End-to-End Analytics SolutionCortana Analytics Workshop: Operationalizing Your End-to-End Analytics Solution
Cortana Analytics Workshop: Operationalizing Your End-to-End Analytics SolutionMSAdvAnalytics
 
How Klout is changing the landscape of social media with Hadoop and BI
How Klout is changing the landscape of social media with Hadoop and BIHow Klout is changing the landscape of social media with Hadoop and BI
How Klout is changing the landscape of social media with Hadoop and BIDenny Lee
 
A lap around Azure Data Factory
A lap around Azure Data FactoryA lap around Azure Data Factory
A lap around Azure Data FactoryBizTalk360
 
Ebooks - Accelerating Time to Value of Big Data of Apache Spark | Qubole
Ebooks - Accelerating Time to Value of Big Data of Apache Spark | QuboleEbooks - Accelerating Time to Value of Big Data of Apache Spark | Qubole
Ebooks - Accelerating Time to Value of Big Data of Apache Spark | QuboleVasu S
 
Big Data in the Cloud with Azure Marketplace Images
Big Data in the Cloud with Azure Marketplace ImagesBig Data in the Cloud with Azure Marketplace Images
Big Data in the Cloud with Azure Marketplace ImagesMark Kromer
 
Design Principles for a Modern Data Warehouse
Design Principles for a Modern Data WarehouseDesign Principles for a Modern Data Warehouse
Design Principles for a Modern Data WarehouseRob Winters
 
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)Sascha Dittmann
 
Demystifying Data Warehouse as a Service (DWaaS)
Demystifying Data Warehouse as a Service (DWaaS)Demystifying Data Warehouse as a Service (DWaaS)
Demystifying Data Warehouse as a Service (DWaaS)Kent Graziano
 
Building big data solutions on azure
Building big data solutions on azureBuilding big data solutions on azure
Building big data solutions on azureEyal Ben Ivri
 
Designing and Implementing a Real-time Data Lake with Dynamically Changing Sc...
Designing and Implementing a Real-time Data Lake with Dynamically Changing Sc...Designing and Implementing a Real-time Data Lake with Dynamically Changing Sc...
Designing and Implementing a Real-time Data Lake with Dynamically Changing Sc...Databricks
 

Tendances (20)

Columbia Migrates from Legacy Data Warehouse to an Open Data Platform with De...
Columbia Migrates from Legacy Data Warehouse to an Open Data Platform with De...Columbia Migrates from Legacy Data Warehouse to an Open Data Platform with De...
Columbia Migrates from Legacy Data Warehouse to an Open Data Platform with De...
 
IBM Cloud Day January 2021 - A well architected data lake
IBM Cloud Day January 2021 - A well architected data lakeIBM Cloud Day January 2021 - A well architected data lake
IBM Cloud Day January 2021 - A well architected data lake
 
Building Data Intensive Analytic Application on Top of Delta Lakes
Building Data Intensive Analytic Application on Top of Delta LakesBuilding Data Intensive Analytic Application on Top of Delta Lakes
Building Data Intensive Analytic Application on Top of Delta Lakes
 
Modern data warehouse
Modern data warehouseModern data warehouse
Modern data warehouse
 
Azure Data Lake and Azure Data Lake Analytics
Azure Data Lake and Azure Data Lake AnalyticsAzure Data Lake and Azure Data Lake Analytics
Azure Data Lake and Azure Data Lake Analytics
 
Building a Data Lake on AWS
Building a Data Lake on AWSBuilding a Data Lake on AWS
Building a Data Lake on AWS
 
Achieving Lakehouse Models with Spark 3.0
Achieving Lakehouse Models with Spark 3.0Achieving Lakehouse Models with Spark 3.0
Achieving Lakehouse Models with Spark 3.0
 
Moving to Databricks & Delta
Moving to Databricks & DeltaMoving to Databricks & Delta
Moving to Databricks & Delta
 
Introduction SQL Analytics on Lakehouse Architecture
Introduction SQL Analytics on Lakehouse ArchitectureIntroduction SQL Analytics on Lakehouse Architecture
Introduction SQL Analytics on Lakehouse Architecture
 
Simplifying Change Data Capture using Databricks Delta
Simplifying Change Data Capture using Databricks DeltaSimplifying Change Data Capture using Databricks Delta
Simplifying Change Data Capture using Databricks Delta
 
Cortana Analytics Workshop: Operationalizing Your End-to-End Analytics Solution
Cortana Analytics Workshop: Operationalizing Your End-to-End Analytics SolutionCortana Analytics Workshop: Operationalizing Your End-to-End Analytics Solution
Cortana Analytics Workshop: Operationalizing Your End-to-End Analytics Solution
 
How Klout is changing the landscape of social media with Hadoop and BI
How Klout is changing the landscape of social media with Hadoop and BIHow Klout is changing the landscape of social media with Hadoop and BI
How Klout is changing the landscape of social media with Hadoop and BI
 
A lap around Azure Data Factory
A lap around Azure Data FactoryA lap around Azure Data Factory
A lap around Azure Data Factory
 
Ebooks - Accelerating Time to Value of Big Data of Apache Spark | Qubole
Ebooks - Accelerating Time to Value of Big Data of Apache Spark | QuboleEbooks - Accelerating Time to Value of Big Data of Apache Spark | Qubole
Ebooks - Accelerating Time to Value of Big Data of Apache Spark | Qubole
 
Big Data in the Cloud with Azure Marketplace Images
Big Data in the Cloud with Azure Marketplace ImagesBig Data in the Cloud with Azure Marketplace Images
Big Data in the Cloud with Azure Marketplace Images
 
Design Principles for a Modern Data Warehouse
Design Principles for a Modern Data WarehouseDesign Principles for a Modern Data Warehouse
Design Principles for a Modern Data Warehouse
 
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)
 
Demystifying Data Warehouse as a Service (DWaaS)
Demystifying Data Warehouse as a Service (DWaaS)Demystifying Data Warehouse as a Service (DWaaS)
Demystifying Data Warehouse as a Service (DWaaS)
 
Building big data solutions on azure
Building big data solutions on azureBuilding big data solutions on azure
Building big data solutions on azure
 
Designing and Implementing a Real-time Data Lake with Dynamically Changing Sc...
Designing and Implementing a Real-time Data Lake with Dynamically Changing Sc...Designing and Implementing a Real-time Data Lake with Dynamically Changing Sc...
Designing and Implementing a Real-time Data Lake with Dynamically Changing Sc...
 

En vedette

Vagrant up a Distributed Test Environment - Nginx Summit 2015
Vagrant up a Distributed Test Environment - Nginx Summit 2015Vagrant up a Distributed Test Environment - Nginx Summit 2015
Vagrant up a Distributed Test Environment - Nginx Summit 2015Basho Technologies
 
AWS 201 - Development and Test on AWS Webinar
AWS 201 - Development and Test on AWS WebinarAWS 201 - Development and Test on AWS Webinar
AWS 201 - Development and Test on AWS WebinarAmazon Web Services
 
AWS Canberra WWPS Summit 2013 - AWS for Test and Development
AWS Canberra WWPS Summit 2013 - AWS for Test and DevelopmentAWS Canberra WWPS Summit 2013 - AWS for Test and Development
AWS Canberra WWPS Summit 2013 - AWS for Test and DevelopmentAmazon Web Services
 
Michał Sierzputowski - test environment virtualization
Michał Sierzputowski - test environment virtualizationMichał Sierzputowski - test environment virtualization
Michał Sierzputowski - test environment virtualizationTrójmiejska Grupa Testerska
 
Microsoft Testing Tour - Setting up a Test Environment
Microsoft Testing Tour - Setting up a Test EnvironmentMicrosoft Testing Tour - Setting up a Test Environment
Microsoft Testing Tour - Setting up a Test EnvironmentAngela Dugan
 
Dev/Test Environment Provisioning and Management on AWS
Dev/Test Environment Provisioning and Management on AWSDev/Test Environment Provisioning and Management on AWS
Dev/Test Environment Provisioning and Management on AWSShiva Narayanaswamy
 
Dev & Test on AWS - Journey Through the Cloud
Dev & Test on AWS - Journey Through the CloudDev & Test on AWS - Journey Through the Cloud
Dev & Test on AWS - Journey Through the CloudAmazon Web Services
 
Drinking our own champagne - z Systems Development and Test Environment V10
Drinking our own champagne - z Systems Development and Test Environment V10Drinking our own champagne - z Systems Development and Test Environment V10
Drinking our own champagne - z Systems Development and Test Environment V10DevOps for Enterprise Systems
 
Test-Driven Infrastructure with CloudFormation and Cucumber.
Test-Driven Infrastructure with CloudFormation and Cucumber. Test-Driven Infrastructure with CloudFormation and Cucumber.
Test-Driven Infrastructure with CloudFormation and Cucumber. Stelligent
 
Test Environment Management KPI
Test Environment Management KPITest Environment Management KPI
Test Environment Management KPIValentine Wats
 
Test Environment Strategy
Test Environment StrategyTest Environment Strategy
Test Environment StrategyTony Barber
 
Test Environment Management
Test Environment ManagementTest Environment Management
Test Environment ManagementKanoah
 

En vedette (16)

Vagrant up a Distributed Test Environment - Nginx Summit 2015
Vagrant up a Distributed Test Environment - Nginx Summit 2015Vagrant up a Distributed Test Environment - Nginx Summit 2015
Vagrant up a Distributed Test Environment - Nginx Summit 2015
 
AWS 201 - Development and Test on AWS Webinar
AWS 201 - Development and Test on AWS WebinarAWS 201 - Development and Test on AWS Webinar
AWS 201 - Development and Test on AWS Webinar
 
AWS Canberra WWPS Summit 2013 - AWS for Test and Development
AWS Canberra WWPS Summit 2013 - AWS for Test and DevelopmentAWS Canberra WWPS Summit 2013 - AWS for Test and Development
AWS Canberra WWPS Summit 2013 - AWS for Test and Development
 
Michał Sierzputowski - test environment virtualization
Michał Sierzputowski - test environment virtualizationMichał Sierzputowski - test environment virtualization
Michał Sierzputowski - test environment virtualization
 
Microsoft Testing Tour - Setting up a Test Environment
Microsoft Testing Tour - Setting up a Test EnvironmentMicrosoft Testing Tour - Setting up a Test Environment
Microsoft Testing Tour - Setting up a Test Environment
 
Enterprise Dev and Test on AWS
Enterprise Dev and Test on AWSEnterprise Dev and Test on AWS
Enterprise Dev and Test on AWS
 
Dev/Test Environment Provisioning and Management on AWS
Dev/Test Environment Provisioning and Management on AWSDev/Test Environment Provisioning and Management on AWS
Dev/Test Environment Provisioning and Management on AWS
 
Dev & Test on AWS - Journey Through the Cloud
Dev & Test on AWS - Journey Through the CloudDev & Test on AWS - Journey Through the Cloud
Dev & Test on AWS - Journey Through the Cloud
 
Drinking our own champagne - z Systems Development and Test Environment V10
Drinking our own champagne - z Systems Development and Test Environment V10Drinking our own champagne - z Systems Development and Test Environment V10
Drinking our own champagne - z Systems Development and Test Environment V10
 
Test-Driven Infrastructure with CloudFormation and Cucumber.
Test-Driven Infrastructure with CloudFormation and Cucumber. Test-Driven Infrastructure with CloudFormation and Cucumber.
Test-Driven Infrastructure with CloudFormation and Cucumber.
 
Test Environment Management KPI
Test Environment Management KPITest Environment Management KPI
Test Environment Management KPI
 
Test & Dev on the AWS Cloud
Test & Dev on the AWS CloudTest & Dev on the AWS Cloud
Test & Dev on the AWS Cloud
 
Test Environment Strategy
Test Environment StrategyTest Environment Strategy
Test Environment Strategy
 
Development and Test on AWS
Development and Test on AWSDevelopment and Test on AWS
Development and Test on AWS
 
Test Environment Management
Test Environment ManagementTest Environment Management
Test Environment Management
 
Lighting you up in Battlefield 3
Lighting you up in Battlefield 3Lighting you up in Battlefield 3
Lighting you up in Battlefield 3
 

Similaire à A Zen Journey to Database Management

Modernizing to a Cloud Data Architecture
Modernizing to a Cloud Data ArchitectureModernizing to a Cloud Data Architecture
Modernizing to a Cloud Data ArchitectureDatabricks
 
Streaming IBM i to Kafka for Next-Gen Use Cases
Streaming IBM i to Kafka for Next-Gen Use CasesStreaming IBM i to Kafka for Next-Gen Use Cases
Streaming IBM i to Kafka for Next-Gen Use CasesPrecisely
 
Sql server briefing sept
Sql server briefing septSql server briefing sept
Sql server briefing septMark Kromer
 
Data Architecture Strategies: Data Architecture for Digital Transformation
Data Architecture Strategies: Data Architecture for Digital TransformationData Architecture Strategies: Data Architecture for Digital Transformation
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
 
PROG_UntoldStory ISV eBook_0706c FINAL
PROG_UntoldStory ISV eBook_0706c FINALPROG_UntoldStory ISV eBook_0706c FINAL
PROG_UntoldStory ISV eBook_0706c FINALSolarWinds MSP
 
Starting the Journey to Managed Infrastructure Services
Starting the Journey to Managed Infrastructure ServicesStarting the Journey to Managed Infrastructure Services
Starting the Journey to Managed Infrastructure ServicesRackspace
 
ds_Pivotal_Big_Data_Suite_Product_Suite
ds_Pivotal_Big_Data_Suite_Product_Suiteds_Pivotal_Big_Data_Suite_Product_Suite
ds_Pivotal_Big_Data_Suite_Product_SuiteRobin Fong 方俊强
 
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...DataStax
 
Future of Power: Power Strategy and Offerings for Denmark - Steve Sibley
Future of Power: Power Strategy and Offerings for Denmark - Steve SibleyFuture of Power: Power Strategy and Offerings for Denmark - Steve Sibley
Future of Power: Power Strategy and Offerings for Denmark - Steve SibleyIBM Danmark
 
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...How Financial Institutions Are Leveraging Data Virtualization to Overcome the...
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...Denodo
 
IBM Relay 2015: Open for Data
IBM Relay 2015: Open for Data IBM Relay 2015: Open for Data
IBM Relay 2015: Open for Data IBM
 
Becoming a data driven organization
Becoming a data driven organization Becoming a data driven organization
Becoming a data driven organization Magnus Backman
 
Hybrid Cloud Integration Success Story
Hybrid Cloud Integration Success StoryHybrid Cloud Integration Success Story
Hybrid Cloud Integration Success StoryJitterbit
 
bigdatasqloverview21jan2015-2408000
bigdatasqloverview21jan2015-2408000bigdatasqloverview21jan2015-2408000
bigdatasqloverview21jan2015-2408000Kartik Padmanabhan
 
Cloud Adoption: Benchmark, Trends & Best Practices
Cloud Adoption: Benchmark, Trends & Best Practices Cloud Adoption: Benchmark, Trends & Best Practices
Cloud Adoption: Benchmark, Trends & Best Practices Jenna Starmer
 
Best Bigquery ETL Tool
Best Bigquery ETL ToolBest Bigquery ETL Tool
Best Bigquery ETL ToolLyftron Data
 
Foundational Strategies for Trusted Data: Getting Your Data to the Cloud
Foundational Strategies for Trusted Data: Getting Your Data to the CloudFoundational Strategies for Trusted Data: Getting Your Data to the Cloud
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
 
New Delhi Cloud Summit 05 26-11
New Delhi Cloud Summit 05 26-11New Delhi Cloud Summit 05 26-11
New Delhi Cloud Summit 05 26-11Dileep Bhandarkar
 
SendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data WarehousingSendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data WarehousingAmazon Web Services
 

Similaire à A Zen Journey to Database Management (20)

Modernizing to a Cloud Data Architecture
Modernizing to a Cloud Data ArchitectureModernizing to a Cloud Data Architecture
Modernizing to a Cloud Data Architecture
 
Streaming IBM i to Kafka for Next-Gen Use Cases
Streaming IBM i to Kafka for Next-Gen Use CasesStreaming IBM i to Kafka for Next-Gen Use Cases
Streaming IBM i to Kafka for Next-Gen Use Cases
 
Sql server briefing sept
Sql server briefing septSql server briefing sept
Sql server briefing sept
 
Data Architecture Strategies: Data Architecture for Digital Transformation
Data Architecture Strategies: Data Architecture for Digital TransformationData Architecture Strategies: Data Architecture for Digital Transformation
Data Architecture Strategies: Data Architecture for Digital Transformation
 
PROG_UntoldStory ISV eBook_0706c FINAL
PROG_UntoldStory ISV eBook_0706c FINALPROG_UntoldStory ISV eBook_0706c FINAL
PROG_UntoldStory ISV eBook_0706c FINAL
 
Starting the Journey to Managed Infrastructure Services
Starting the Journey to Managed Infrastructure ServicesStarting the Journey to Managed Infrastructure Services
Starting the Journey to Managed Infrastructure Services
 
ds_Pivotal_Big_Data_Suite_Product_Suite
ds_Pivotal_Big_Data_Suite_Product_Suiteds_Pivotal_Big_Data_Suite_Product_Suite
ds_Pivotal_Big_Data_Suite_Product_Suite
 
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...
 
Future of Power: Power Strategy and Offerings for Denmark - Steve Sibley
Future of Power: Power Strategy and Offerings for Denmark - Steve SibleyFuture of Power: Power Strategy and Offerings for Denmark - Steve Sibley
Future of Power: Power Strategy and Offerings for Denmark - Steve Sibley
 
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...How Financial Institutions Are Leveraging Data Virtualization to Overcome the...
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...
 
IBM Relay 2015: Open for Data
IBM Relay 2015: Open for Data IBM Relay 2015: Open for Data
IBM Relay 2015: Open for Data
 
Enabling 360-degree Business Insights with SAP Data
Enabling 360-degree Business Insights with SAP DataEnabling 360-degree Business Insights with SAP Data
Enabling 360-degree Business Insights with SAP Data
 
Becoming a data driven organization
Becoming a data driven organization Becoming a data driven organization
Becoming a data driven organization
 
Hybrid Cloud Integration Success Story
Hybrid Cloud Integration Success StoryHybrid Cloud Integration Success Story
Hybrid Cloud Integration Success Story
 
bigdatasqloverview21jan2015-2408000
bigdatasqloverview21jan2015-2408000bigdatasqloverview21jan2015-2408000
bigdatasqloverview21jan2015-2408000
 
Cloud Adoption: Benchmark, Trends & Best Practices
Cloud Adoption: Benchmark, Trends & Best Practices Cloud Adoption: Benchmark, Trends & Best Practices
Cloud Adoption: Benchmark, Trends & Best Practices
 
Best Bigquery ETL Tool
Best Bigquery ETL ToolBest Bigquery ETL Tool
Best Bigquery ETL Tool
 
Foundational Strategies for Trusted Data: Getting Your Data to the Cloud
Foundational Strategies for Trusted Data: Getting Your Data to the CloudFoundational Strategies for Trusted Data: Getting Your Data to the Cloud
Foundational Strategies for Trusted Data: Getting Your Data to the Cloud
 
New Delhi Cloud Summit 05 26-11
New Delhi Cloud Summit 05 26-11New Delhi Cloud Summit 05 26-11
New Delhi Cloud Summit 05 26-11
 
SendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data WarehousingSendGrid Improves Email Delivery with Hybrid Data Warehousing
SendGrid Improves Email Delivery with Hybrid Data Warehousing
 

Plus de Basho Technologies

O'Reilly Webinar: Simplicity Scales - Big Data
O'Reilly Webinar: Simplicity Scales - Big Data O'Reilly Webinar: Simplicity Scales - Big Data
O'Reilly Webinar: Simplicity Scales - Big Data Basho Technologies
 
A little about Message Queues - Boston Riak Meetup
A little about Message Queues - Boston Riak MeetupA little about Message Queues - Boston Riak Meetup
A little about Message Queues - Boston Riak MeetupBasho Technologies
 
NoSQL Implementation - Part 1 (Velocity 2015)
NoSQL Implementation - Part 1 (Velocity 2015)NoSQL Implementation - Part 1 (Velocity 2015)
NoSQL Implementation - Part 1 (Velocity 2015)Basho Technologies
 
Coding with Riak (from Velocity 2015)
Coding with Riak (from Velocity 2015)Coding with Riak (from Velocity 2015)
Coding with Riak (from Velocity 2015)Basho Technologies
 
Basho and Riak at GOTO Stockholm: "Don't Use My Database."
Basho and Riak at GOTO Stockholm:  "Don't Use My Database."Basho and Riak at GOTO Stockholm:  "Don't Use My Database."
Basho and Riak at GOTO Stockholm: "Don't Use My Database."Basho Technologies
 
Using Basho Bench to Load Test Distributed Applications
Using Basho Bench to Load Test Distributed ApplicationsUsing Basho Bench to Load Test Distributed Applications
Using Basho Bench to Load Test Distributed ApplicationsBasho Technologies
 

Plus de Basho Technologies (9)

O'Reilly Webinar: Simplicity Scales - Big Data
O'Reilly Webinar: Simplicity Scales - Big Data O'Reilly Webinar: Simplicity Scales - Big Data
O'Reilly Webinar: Simplicity Scales - Big Data
 
A little about Message Queues - Boston Riak Meetup
A little about Message Queues - Boston Riak MeetupA little about Message Queues - Boston Riak Meetup
A little about Message Queues - Boston Riak Meetup
 
tecFinal 451 webinar deck
tecFinal 451 webinar decktecFinal 451 webinar deck
tecFinal 451 webinar deck
 
NoSQL Implementation - Part 1 (Velocity 2015)
NoSQL Implementation - Part 1 (Velocity 2015)NoSQL Implementation - Part 1 (Velocity 2015)
NoSQL Implementation - Part 1 (Velocity 2015)
 
Coding with Riak (from Velocity 2015)
Coding with Riak (from Velocity 2015)Coding with Riak (from Velocity 2015)
Coding with Riak (from Velocity 2015)
 
Relational Databases to Riak
Relational Databases to RiakRelational Databases to Riak
Relational Databases to Riak
 
Taming Big Data with NoSQL
Taming Big Data with NoSQLTaming Big Data with NoSQL
Taming Big Data with NoSQL
 
Basho and Riak at GOTO Stockholm: "Don't Use My Database."
Basho and Riak at GOTO Stockholm:  "Don't Use My Database."Basho and Riak at GOTO Stockholm:  "Don't Use My Database."
Basho and Riak at GOTO Stockholm: "Don't Use My Database."
 
Using Basho Bench to Load Test Distributed Applications
Using Basho Bench to Load Test Distributed ApplicationsUsing Basho Bench to Load Test Distributed Applications
Using Basho Bench to Load Test Distributed Applications
 

A Zen Journey to Database Management

  • 1. A ZEN JOURNEY TO DATABASE MANAGEMENT Featuring A Customer Success Story
  • 2. TECHNOLOGY DRIVES THE SPEED OF BUSINESS The emergence of ‘Big Data’, the ‘Internet of Things’, and ‘Hybrid cloud’ applications are providing businesses with the capability to perform faster, smarter, and more efficiently than ever. In order to harness that competitive edge, companies need a robust foundation to manage their data and run mission-critical applications. Big Data Internet of Things Hybrid Cloud Faster Smarter Efficiently World's data doubling every two years 28 billion IoT devices to be operational by 2020 50% of enterprises will use hybrid cloud by 2017 Source: IDC
  • 3. THE EVOLUTION IN DATABASE MANAGEMENT To cope with the tremendous growth of new apps and unstructured data (especially in social media, gaming, and mobile), enterprises are changing their approach to database management. of all digital information today is unstructured data90%Source: IDC
  • 4. THE EVOLUTION IN DATABASE MANAGEMENT Companies that generate vast amounts of data are now migrating to NoSQL databases as the preferred alternative to traditional relational databases, which lack the flexibility to handle massive amounts of unstructured data. Unstructured data NoSQL Database
  • 5. WHITEPAGES – A DATABASE CASE STUDY Whitepages is the leading source for contact information in North America, providing access to 250 million personal identities for over 55 million unique visitors a month. For their storage needs, Whitepages relied on relational databases. As the company grew and launched new applications (like Caller ID), they were faced with the challenge of scaling their database infrastructure while ensuring availability. 55 M 250 M
  • 6. WHITEPAGES’ KEY EVALUATION CRITERIA They needed a scalable solution that would provide: • Operational simplicity • Ease of administration while scaling up or down • Database robustness if a node crashed • Allow for reading and writing data in the event of a hardware or network outage • Capacity to expand without losing any uptime
  • 7. …AND THE WINNER IS BASHO RIAK KV! Whitepages evaluated a number of database solutions including Hbase, Postgres, Cassandra, and Basho Riak KV to meet growing data requirements. Riak KV was the clear winner for: High availability Scalability Fault-tolerance Operational simplicity
  • 8. THE PERFECT SOLUTION Riak KV was extremely easy to set up, configure, and scale up. We ran benchmarks, which all met or exceeded our expectations. It delivered on its promise of resiliency against the loss of a node, so it was a perfect solution for us. Since deployment, Riak has been one of the most trouble-free solutions we’ve operated at Whitepages. It just works! With Riak KV, Whitepages was able to increase stability for its Caller ID app, achieve scaling goals at minimal cost, and reduce operational complexity. “ ”– Devin Ben-Hur Senior Architect Whitepages
  • 9. WHY CUSTOMERS CHOOSE RIAK More and more companies are migrating to Riak for its scalability and fault tolerance – the two leading IT challenges facing enterprises today. 14% Reduce IT infrastructure costs 34% 75% 32% Meet performance and QoS SLAs Meet scalability requirements Support business growth expectations 45% 61% Support higher uptime SLAs Simplicity of operations (fault tolerance, ease of management, stability) Multi-model approach with integration of key/value, storage and search Other Top Reasons Customers Select Riak 27% 14% Multiple-choice survey conducted by TechValidate. Response percentages may not add up to 100.
  • 10. BRINGING ZEN TO THE DELUGE OF DATA Basho specializes in solving critical data management challenges for enterprises, with products designed to ensure the resilience and performance of key business applications: Controls and simplifies distributed Big Data and IoT applications; provides integration with Redis, Spark and Solr. Distributed NoSQL database – guarantees reads and writes even in the event of hardware failures or network partitions Cloud storage software – more cost-effective than traditional storage; compatible with Amazon S3 and OpenStack Swift for easy integration
  • 11. FOR FAST-GROWING WEB BUSINESSES More than 30 percent of Fortune 50 companies use Basho to power their critical web, mobile and social applications, and their public and private cloud platforms. With a payback period averaging 12-18 months, an investment in Riak can truly be a Zen journey.
  • 12. TAME BIG DATA To learn more about how Basho helped Whitepages meet their growing data requirements, please CLICK HERE