SlideShare a Scribd company logo
1 of 28
1© 2018 Snowflake Computing Inc. All Rights Reserved.
Y O U R D A T A , N O L I M I T S
Master the Multi-Clustered Data
Warehouse
Alex Letterese, Account Executive
Matillion
2© 2018 Snowflake Computing Inc. All Rights Reserved.
Our presenters
Alex Letterese
Account Executive
Craig Collier
Global Solutions Architect
Kalyan Arangam
Solution Architect
3© 2018 Snowflake Computing Inc. All Rights Reserved.
Uniting the Data Nation
© 2018 Snowflake Computing Inc. All Rights Reserved.
DataPeople Applications
What is Data Nation?
© 2018 Snowflake Computing Inc. All Rights Reserved.
The people in data nation are divided
People who
analyze data
People who
store and curate data
People who
secure the data
People who have to
get new data
People who want to
upgrade the data platform
The people who want
to share the data
People who need new
data immediately
People who pay for the
data platform
© 2018 Snowflake Computing Inc. All Rights Reserved.
Their data is disparate
Structured
data
Semi-
structured
data
Data mart
for sales
Data mart
for ops
Corporate
data
warehouse
Customer
data
Partner data
Internal
data
Streaming
data
Static data
© 2018 Snowflake Computing Inc. All Rights Reserved.
The apps are the source of many problems
Concurrency problems when too
many people use the database
Database that can only
support a defined amount
of structured data
Unsecure and challenging
methods for sharing data
Manual, maintenance
intensive tools
Expensive up-front database
purchases
Specialized skills needed
for different tools
© 2018 Snowflake Computing Inc. All Rights Reserved.
There are fresh challenges on the horizon
Need it all in real
time for up to the
minute insight
Expanding to
new markets with
different
regulations
Applications
in cloud and
on-prem
© 2018 Snowflake Computing Inc. All Rights Reserved.
Data
People
Applications
WE NEED A
TECHNOLOGY
THAT CONNECTS
THE DATA NATION
GLOBALLY
© 2017 Snowflake Computing Inc. All Rights Reserved.
Data
People
Applications
THE CLOUD IS A
PERFECT CANVAS TO
MAKE THOSE
CONNECTIONS
Snowflake + Matillion help Unite the Data Nation
Data Integration
Business Intelligence &
Analytics
Data Warehouse
Enterprise
apps
Data Sources
Corporate
Web
Mobile
IoT
© 2018 Snowflake Computing Inc. All Rights Reserved.
Complete
SQL Database
Minimal
Management
All of
Your Data
All of
Your Users
How can Snowflake help Unite the Data Nation?
Pay Only for
What You Use
Live Data
Sharing
© 2018 Snowflake Computing Inc. All Rights Reserved.
Complete SQL Data Warehouse
STANDARD SQL
Full DML (read/write/modify),
analytic SQL
BROAD ECOSYSTEM
Leverage the skills and tools
you already have – BI, ETL…
AVAILABILITY
Automatic data replication, online recovery, high
availability and geo redundancy
SECURITY
Automatic encryption,
third-party certification
© 2018 Snowflake Computing Inc. All Rights Reserved. 14
Minimal Management
NO Infrastructure
NO Tuning
NO Optimization
NO Indexing
NO Storage worries
NO Vacuuming
NO Partitioning
NO Required sorting
NO Workload mgmt.
NO Manual backups
It Just Works!
© 2018 Snowflake Computing Inc. All Rights Reserved.
asdfAll your data
Structured Semi-structuredCSV JSON
Avro
XML
Parquet
© 2018 Snowflake Computing Inc. All Rights Reserved.
asdf
Data Science
SQL Analysts
ETL & Processing
BI & Analytics Tools
16
All Your Users
Database Services
© 2018 Snowflake Computing Inc. All Rights Reserved.
asdf
Traditional databases
are inflexible
Snowflake uses the cloud
to enable elasticity
Usage
varies
Pay for only
what you use with no
overprovisioning
Eliminate
overbuy
Instant Elasticity No need for
capacity planning,
make capacity
decisions on the fly
17
Only pay for what you use
© 2018 Snowflake Computing Inc. All Rights Reserved.
18
Seamless data sharing
Data Provider
Snowflake Account
Data to Share
Share Live Data Instantly
Grant Secure Row Level
Access
Use One Share for Many
NO FTP or EDI
NO Duplicate Files or
Storage
NO Additional Charge
Secure Data
Share
Data
Science
WH
Consumer 2
Snowflake Account
Wants provider
data for data
scientists
Consumer 1
Snowflake Account
SQL
Analysts
WH
Wants provider
data for SQL
analysts
Live Data Sharing
© 2018 Snowflake Computing Inc. All Rights Reserved.
Database Services
Data
Science (L)
Data
Transformation
(M)
SQL Queries
(S)
How is this possible? A Brand New Architecture
Easy-to-use Service with No Management
Unlimited Compute Clusters to Serve Every Use
Flexible Cloud Storage For All Kinds of
Data
Managemen
t
Optimization Securit
y
Availabilit
y
Transaction
s
Metadata
BI/Reporting
(Multi-Cluster M)
Structured
Semi-Structured
19
Infinite
Concurrency
© 2017 Snowflake Computing Inc. All Rights Reserved.
Uniting your data nation with Snowflake and Matillion?
+
© 2018 Snowflake Computing Inc. All Rights Reserved.
Matillion ETL for Snowflake
• Cloud native Data integration tool built specifically
for AWS and Snowflake
• Push-down ELT architecture
• Intuitive browser-based UX
• Retail like acquisition through AWS Marketplace –
pay by hour
About Matillion
Customer - Upside Travel
Matt Boegner
Data Engineer, Upside Travel
Scenario
Upside ingests over 3TB of raw flight/hotel
inventory on a daily basis, in addition to website,
mobile app, and marketing data streams. A lot of
data and a lot of data processing!
Negative Consequences
Existing data warehouse couldn’t keep up
Degraded performance due to concurrent loading
Expensive to maintain
After
Matillion ETL for Snowflake made their migration to
Snowflake simple and quick, and Upside was able
to actualize the benefits of Snowflake within 2
weeks, at production workloads.
“Use Snowflake if you have a cloud data
warehouse; use Matillion if you use
Snowflake.”
Snowflake
Flight/ Hotel data
Website data
Mobile data
Marketing data
Looker – BI &
Visualization
Better performance, mitigation of
concurrency issues and improved
scalability
• Migration to production live in under 2 weeks
• Scalability (up and down) >> Cost Efficiency
(Transform applied directly)
Matillion ETL for Snowflake
• 5 minute launch process on Marketplace
• 14 day Free Trial
• From $1.37 per hr
How to engage
• SA team to support PoCs, demos and training
• Support Portal
• Tutorials & Customer references on YouTube
How to Engage
Demonstration
Use bulk loading to get the data to the cloud
Leverage the scalable compute layer to do the bulk of
the data processing
Isolate load and transform jobs from queries to
prevent resource contention
Focus on organizing the data to support business
users
© 2018 Snowflake | All Rights Reserved.
MASTER THE MULTI-CLUSTERED DATA WAREHOUSE
Best Practices
27© 2018 Snowflake Computing Inc. All Rights Reserved.
Q & A
© 2017 Snowflake Computing Inc. All Rights Reserved.
How will you unite your data nation with Snowflake and Matillion?
Ask us how to start today.
+
#BetterTogether #UniteTheDataNation

More Related Content

What's hot

Data Sharing with Snowflake
Data Sharing with SnowflakeData Sharing with Snowflake
Data Sharing with Snowflake
Snowflake Computing
 

What's hot (20)

Snowflake for Data Engineering
Snowflake for Data EngineeringSnowflake for Data Engineering
Snowflake for Data Engineering
 
Snowflake Data Loading.pptx
Snowflake Data Loading.pptxSnowflake Data Loading.pptx
Snowflake Data Loading.pptx
 
Data Sharing with Snowflake
Data Sharing with SnowflakeData Sharing with Snowflake
Data Sharing with Snowflake
 
Snowflake Architecture
Snowflake ArchitectureSnowflake Architecture
Snowflake Architecture
 
Snowflake Datawarehouse Architecturing
Snowflake Datawarehouse ArchitecturingSnowflake Datawarehouse Architecturing
Snowflake Datawarehouse Architecturing
 
How to Take Advantage of an Enterprise Data Warehouse in the Cloud
How to Take Advantage of an Enterprise Data Warehouse in the CloudHow to Take Advantage of an Enterprise Data Warehouse in the Cloud
How to Take Advantage of an Enterprise Data Warehouse in the Cloud
 
Snowflake Architecture.pptx
Snowflake Architecture.pptxSnowflake Architecture.pptx
Snowflake Architecture.pptx
 
AWS Summit Singapore 2019 | Snowflake: Your Data. No Limits
AWS Summit Singapore 2019 | Snowflake: Your Data. No LimitsAWS Summit Singapore 2019 | Snowflake: Your Data. No Limits
AWS Summit Singapore 2019 | Snowflake: Your Data. No Limits
 
Snowflake Company Presentation
Snowflake Company PresentationSnowflake Company Presentation
Snowflake Company Presentation
 
Let’s get to know Snowflake
Let’s get to know SnowflakeLet’s get to know Snowflake
Let’s get to know Snowflake
 
Snowflake: The Good, the Bad, and the Ugly
Snowflake: The Good, the Bad, and the UglySnowflake: The Good, the Bad, and the Ugly
Snowflake: The Good, the Bad, and the Ugly
 
Changing the game with cloud dw
Changing the game with cloud dwChanging the game with cloud dw
Changing the game with cloud dw
 
Snowflake Best Practices for Elastic Data Warehousing
Snowflake Best Practices for Elastic Data WarehousingSnowflake Best Practices for Elastic Data Warehousing
Snowflake Best Practices for Elastic Data Warehousing
 
Snowflake Data Science and AI/ML at Scale
Snowflake Data Science and AI/ML at ScaleSnowflake Data Science and AI/ML at Scale
Snowflake Data Science and AI/ML at Scale
 
Demystifying Data Warehousing as a Service - DFW
Demystifying Data Warehousing as a Service - DFWDemystifying Data Warehousing as a Service - DFW
Demystifying Data Warehousing as a Service - DFW
 
Data Lakehouse Symposium | Day 4
Data Lakehouse Symposium | Day 4Data Lakehouse Symposium | Day 4
Data Lakehouse Symposium | Day 4
 
Webinar Data Mesh - Part 3
Webinar Data Mesh - Part 3Webinar Data Mesh - Part 3
Webinar Data Mesh - Part 3
 
An overview of snowflake
An overview of snowflakeAn overview of snowflake
An overview of snowflake
 
Differentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solutionDifferentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solution
 
DW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptxDW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptx
 

Similar to Master the Multi-Clustered Data Warehouse - Snowflake

Similar to Master the Multi-Clustered Data Warehouse - Snowflake (20)

Sydney: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cloud
Sydney: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cloud Sydney: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cloud
Sydney: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cloud
 
Get Savvy with Snowflake
Get Savvy with SnowflakeGet Savvy with Snowflake
Get Savvy with Snowflake
 
Laboratorio práctico: Data warehouse en la nube
Laboratorio práctico: Data warehouse en la nubeLaboratorio práctico: Data warehouse en la nube
Laboratorio práctico: Data warehouse en la nube
 
Continuous Data Replication into Cloud Storage with Oracle GoldenGate
Continuous Data Replication into Cloud Storage with Oracle GoldenGateContinuous Data Replication into Cloud Storage with Oracle GoldenGate
Continuous Data Replication into Cloud Storage with Oracle GoldenGate
 
Does it only have to be ML + AI?
Does it only have to be ML + AI?Does it only have to be ML + AI?
Does it only have to be ML + AI?
 
Data Warehouse - Incremental Migration to the Cloud
Data Warehouse - Incremental Migration to the CloudData Warehouse - Incremental Migration to the Cloud
Data Warehouse - Incremental Migration to the Cloud
 
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?
 
Cloud Con 2015 - Integration & Web APIs
Cloud Con 2015 - Integration & Web APIsCloud Con 2015 - Integration & Web APIs
Cloud Con 2015 - Integration & Web APIs
 
Tapdata Product Intro
Tapdata Product IntroTapdata Product Intro
Tapdata Product Intro
 
ACDKOCHI19 - Next Generation Data Analytics Platform on AWS
ACDKOCHI19 - Next Generation Data Analytics Platform on AWSACDKOCHI19 - Next Generation Data Analytics Platform on AWS
ACDKOCHI19 - Next Generation Data Analytics Platform on AWS
 
Analytics on system z final
Analytics on system z finalAnalytics on system z final
Analytics on system z final
 
Real-Time With AI – The Convergence Of Big Data And AI by Colin MacNaughton
Real-Time With AI – The Convergence Of Big Data And AI by Colin MacNaughtonReal-Time With AI – The Convergence Of Big Data And AI by Colin MacNaughton
Real-Time With AI – The Convergence Of Big Data And AI by Colin MacNaughton
 
There are 250 Database products, are you running the right one?
There are 250 Database products, are you running the right one?There are 250 Database products, are you running the right one?
There are 250 Database products, are you running the right one?
 
Leap to Next Generation Data Management with Denodo 7.0
Leap to Next Generation Data Management with Denodo 7.0Leap to Next Generation Data Management with Denodo 7.0
Leap to Next Generation Data Management with Denodo 7.0
 
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
 
Top Trends in Building Data Lakes for Machine Learning and AI
Top Trends in Building Data Lakes for Machine Learning and AI Top Trends in Building Data Lakes for Machine Learning and AI
Top Trends in Building Data Lakes for Machine Learning and AI
 
Delivering Data Democratization in the Cloud with Snowflake
Delivering Data Democratization in the Cloud with SnowflakeDelivering Data Democratization in the Cloud with Snowflake
Delivering Data Democratization in the Cloud with Snowflake
 
Oracle databáze – Konsolidovaná Data Management Platforma
Oracle databáze – Konsolidovaná Data Management PlatformaOracle databáze – Konsolidovaná Data Management Platforma
Oracle databáze – Konsolidovaná Data Management Platforma
 
Snowflake’s Cloud Data Platform and Modern Analytics
Snowflake’s Cloud Data Platform and Modern AnalyticsSnowflake’s Cloud Data Platform and Modern Analytics
Snowflake’s Cloud Data Platform and Modern Analytics
 
Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)
Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)
Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)
 

More from Matillion

More from Matillion (15)

Lets Talk Google BigQuery
Lets Talk Google BigQueryLets Talk Google BigQuery
Lets Talk Google BigQuery
 
ELT is Better. Here's Why.
ELT is Better. Here's Why. ELT is Better. Here's Why.
ELT is Better. Here's Why.
 
Pick a Winner: How to Choose a Data Warehouse
Pick a Winner: How to Choose a Data WarehousePick a Winner: How to Choose a Data Warehouse
Pick a Winner: How to Choose a Data Warehouse
 
Dive Into Data Lakes
Dive Into Data LakesDive Into Data Lakes
Dive Into Data Lakes
 
Using ELT to load 1 Billion Rows of Data in 15 Minutes
Using ELT to load 1 Billion Rows of Data in 15 MinutesUsing ELT to load 1 Billion Rows of Data in 15 Minutes
Using ELT to load 1 Billion Rows of Data in 15 Minutes
 
Reach New Heights with Amazon Redshift
Reach New Heights with Amazon RedshiftReach New Heights with Amazon Redshift
Reach New Heights with Amazon Redshift
 
Google BigQuery Best Practices
Google BigQuery Best PracticesGoogle BigQuery Best Practices
Google BigQuery Best Practices
 
ELT vs. ETL - How they’re different and why it matters
ELT vs. ETL - How they’re different and why it mattersELT vs. ETL - How they’re different and why it matters
ELT vs. ETL - How they’re different and why it matters
 
How to Choose a Data Warehouse
How to Choose a Data WarehouseHow to Choose a Data Warehouse
How to Choose a Data Warehouse
 
Kickstart your data strategy for 2018: Getting started with Amazon Redshift
Kickstart your data strategy for 2018: Getting started with Amazon RedshiftKickstart your data strategy for 2018: Getting started with Amazon Redshift
Kickstart your data strategy for 2018: Getting started with Amazon Redshift
 
Simplifying Your Journey to the Cloud: The Benefits of a Cloud-Based Data War...
Simplifying Your Journey to the Cloud: The Benefits of a Cloud-Based Data War...Simplifying Your Journey to the Cloud: The Benefits of a Cloud-Based Data War...
Simplifying Your Journey to the Cloud: The Benefits of a Cloud-Based Data War...
 
Using Google Cloud for Marketing Analytics: How the7stars, the UK’s largest i...
Using Google Cloud for Marketing Analytics: How the7stars, the UK’s largest i...Using Google Cloud for Marketing Analytics: How the7stars, the UK’s largest i...
Using Google Cloud for Marketing Analytics: How the7stars, the UK’s largest i...
 
Webinar | Accessing Your Data Lake Assets from Amazon Redshift Spectrum
Webinar | Accessing Your Data Lake Assets from Amazon Redshift SpectrumWebinar | Accessing Your Data Lake Assets from Amazon Redshift Spectrum
Webinar | Accessing Your Data Lake Assets from Amazon Redshift Spectrum
 
Webinar | Getting Started With Amazon Redshift Spectrum
Webinar | Getting Started With Amazon Redshift SpectrumWebinar | Getting Started With Amazon Redshift Spectrum
Webinar | Getting Started With Amazon Redshift Spectrum
 
Getting Started With Amazon Redshift
Getting Started With Amazon Redshift Getting Started With Amazon Redshift
Getting Started With Amazon Redshift
 

Recently uploaded

TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
mohitmore19
 
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female serviceCALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
anilsa9823
 
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
Health
 

Recently uploaded (20)

Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTV
 
5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf
 
TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
 
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
 
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female serviceCALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
CALL ON ➥8923113531 🔝Call Girls Badshah Nagar Lucknow best Female service
 
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
 
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
 
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsUnveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.com
 
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
 
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
 
Hand gesture recognition PROJECT PPT.pptx
Hand gesture recognition PROJECT PPT.pptxHand gesture recognition PROJECT PPT.pptx
Hand gesture recognition PROJECT PPT.pptx
 
Microsoft AI Transformation Partner Playbook.pdf
Microsoft AI Transformation Partner Playbook.pdfMicrosoft AI Transformation Partner Playbook.pdf
Microsoft AI Transformation Partner Playbook.pdf
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial Goals
 
Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...
Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...
Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...
 
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
 
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AISyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
 
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
 
Diamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionDiamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with Precision
 
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS LiveVip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
 

Master the Multi-Clustered Data Warehouse - Snowflake

  • 1. 1© 2018 Snowflake Computing Inc. All Rights Reserved. Y O U R D A T A , N O L I M I T S Master the Multi-Clustered Data Warehouse Alex Letterese, Account Executive Matillion
  • 2. 2© 2018 Snowflake Computing Inc. All Rights Reserved. Our presenters Alex Letterese Account Executive Craig Collier Global Solutions Architect Kalyan Arangam Solution Architect
  • 3. 3© 2018 Snowflake Computing Inc. All Rights Reserved. Uniting the Data Nation
  • 4. © 2018 Snowflake Computing Inc. All Rights Reserved. DataPeople Applications What is Data Nation?
  • 5. © 2018 Snowflake Computing Inc. All Rights Reserved. The people in data nation are divided People who analyze data People who store and curate data People who secure the data People who have to get new data People who want to upgrade the data platform The people who want to share the data People who need new data immediately People who pay for the data platform
  • 6. © 2018 Snowflake Computing Inc. All Rights Reserved. Their data is disparate Structured data Semi- structured data Data mart for sales Data mart for ops Corporate data warehouse Customer data Partner data Internal data Streaming data Static data
  • 7. © 2018 Snowflake Computing Inc. All Rights Reserved. The apps are the source of many problems Concurrency problems when too many people use the database Database that can only support a defined amount of structured data Unsecure and challenging methods for sharing data Manual, maintenance intensive tools Expensive up-front database purchases Specialized skills needed for different tools
  • 8. © 2018 Snowflake Computing Inc. All Rights Reserved. There are fresh challenges on the horizon Need it all in real time for up to the minute insight Expanding to new markets with different regulations Applications in cloud and on-prem
  • 9. © 2018 Snowflake Computing Inc. All Rights Reserved. Data People Applications WE NEED A TECHNOLOGY THAT CONNECTS THE DATA NATION GLOBALLY
  • 10. © 2017 Snowflake Computing Inc. All Rights Reserved. Data People Applications THE CLOUD IS A PERFECT CANVAS TO MAKE THOSE CONNECTIONS
  • 11. Snowflake + Matillion help Unite the Data Nation Data Integration Business Intelligence & Analytics Data Warehouse Enterprise apps Data Sources Corporate Web Mobile IoT
  • 12. © 2018 Snowflake Computing Inc. All Rights Reserved. Complete SQL Database Minimal Management All of Your Data All of Your Users How can Snowflake help Unite the Data Nation? Pay Only for What You Use Live Data Sharing
  • 13. © 2018 Snowflake Computing Inc. All Rights Reserved. Complete SQL Data Warehouse STANDARD SQL Full DML (read/write/modify), analytic SQL BROAD ECOSYSTEM Leverage the skills and tools you already have – BI, ETL… AVAILABILITY Automatic data replication, online recovery, high availability and geo redundancy SECURITY Automatic encryption, third-party certification
  • 14. © 2018 Snowflake Computing Inc. All Rights Reserved. 14 Minimal Management NO Infrastructure NO Tuning NO Optimization NO Indexing NO Storage worries NO Vacuuming NO Partitioning NO Required sorting NO Workload mgmt. NO Manual backups It Just Works!
  • 15. © 2018 Snowflake Computing Inc. All Rights Reserved. asdfAll your data Structured Semi-structuredCSV JSON Avro XML Parquet
  • 16. © 2018 Snowflake Computing Inc. All Rights Reserved. asdf Data Science SQL Analysts ETL & Processing BI & Analytics Tools 16 All Your Users Database Services
  • 17. © 2018 Snowflake Computing Inc. All Rights Reserved. asdf Traditional databases are inflexible Snowflake uses the cloud to enable elasticity Usage varies Pay for only what you use with no overprovisioning Eliminate overbuy Instant Elasticity No need for capacity planning, make capacity decisions on the fly 17 Only pay for what you use
  • 18. © 2018 Snowflake Computing Inc. All Rights Reserved. 18 Seamless data sharing Data Provider Snowflake Account Data to Share Share Live Data Instantly Grant Secure Row Level Access Use One Share for Many NO FTP or EDI NO Duplicate Files or Storage NO Additional Charge Secure Data Share Data Science WH Consumer 2 Snowflake Account Wants provider data for data scientists Consumer 1 Snowflake Account SQL Analysts WH Wants provider data for SQL analysts Live Data Sharing
  • 19. © 2018 Snowflake Computing Inc. All Rights Reserved. Database Services Data Science (L) Data Transformation (M) SQL Queries (S) How is this possible? A Brand New Architecture Easy-to-use Service with No Management Unlimited Compute Clusters to Serve Every Use Flexible Cloud Storage For All Kinds of Data Managemen t Optimization Securit y Availabilit y Transaction s Metadata BI/Reporting (Multi-Cluster M) Structured Semi-Structured 19 Infinite Concurrency
  • 20. © 2017 Snowflake Computing Inc. All Rights Reserved. Uniting your data nation with Snowflake and Matillion? +
  • 21. © 2018 Snowflake Computing Inc. All Rights Reserved. Matillion ETL for Snowflake • Cloud native Data integration tool built specifically for AWS and Snowflake • Push-down ELT architecture • Intuitive browser-based UX • Retail like acquisition through AWS Marketplace – pay by hour About Matillion
  • 22. Customer - Upside Travel Matt Boegner Data Engineer, Upside Travel Scenario Upside ingests over 3TB of raw flight/hotel inventory on a daily basis, in addition to website, mobile app, and marketing data streams. A lot of data and a lot of data processing! Negative Consequences Existing data warehouse couldn’t keep up Degraded performance due to concurrent loading Expensive to maintain After Matillion ETL for Snowflake made their migration to Snowflake simple and quick, and Upside was able to actualize the benefits of Snowflake within 2 weeks, at production workloads. “Use Snowflake if you have a cloud data warehouse; use Matillion if you use Snowflake.”
  • 23. Snowflake Flight/ Hotel data Website data Mobile data Marketing data Looker – BI & Visualization Better performance, mitigation of concurrency issues and improved scalability • Migration to production live in under 2 weeks • Scalability (up and down) >> Cost Efficiency (Transform applied directly)
  • 24. Matillion ETL for Snowflake • 5 minute launch process on Marketplace • 14 day Free Trial • From $1.37 per hr How to engage • SA team to support PoCs, demos and training • Support Portal • Tutorials & Customer references on YouTube How to Engage
  • 26. Use bulk loading to get the data to the cloud Leverage the scalable compute layer to do the bulk of the data processing Isolate load and transform jobs from queries to prevent resource contention Focus on organizing the data to support business users © 2018 Snowflake | All Rights Reserved. MASTER THE MULTI-CLUSTERED DATA WAREHOUSE Best Practices
  • 27. 27© 2018 Snowflake Computing Inc. All Rights Reserved. Q & A
  • 28. © 2017 Snowflake Computing Inc. All Rights Reserved. How will you unite your data nation with Snowflake and Matillion? Ask us how to start today. + #BetterTogether #UniteTheDataNation

Editor's Notes

  1. <Alex> Introduce our speakers – pass it over to them to do brief intros.
  2. It’s all of us Everyone who cares about working with data Better answers to drive the business forward Whether you are small or big, data nation is for you
  3. Data is critical, but it’s a challenging space. Every org struggling to get value from data. Divide: People who are responsible for the data, and the people who are using the data Irordinate amount of time wrangling data
  4. Different types It’s all over the place and difficult to bring together Data isn’t just about whats in front of you
  5. Connecting different applications GDPR and other regulations Things that used to take 24 hours, now we need under a minute or less
  6. Effectively infinite resources - Serve every use case with unbounded compute Connect all of your apps with limitless connectivity Unite your data in one place with infinite storage
  7. Basically skip this slide
  8. Familiar! The language of analytics. Name other products Not a query tool ETL can work with Snowflake, BI works with Snowflake -The difference is that it SCALES.
  9. A huge difference: built as a cloud saas service You load the data, you run the queries, and the rest we take care for you Hard to grasp… But it just works!
  10. Many different types of data Complete picture requires multiple variations of data Different environments (SQL Hadoop) Transformation… requires effort Machine generated data has structure! Has a schema. -Heirarchical, repetitive aptterns -Just changing… -Analytics team unaware -Can you find that schema? We find it for you. Virtual column, access with SQL with dot notation
  11. Anyone has the rights can gain insight Make decisions and share Ability to allow all of your end users when they want it -Always a food chain – who is on top? -Don’t touch the data warehouse!
  12. Monday morning dashboard rush Thousands of nodes at once With Snowflake you only pay for what you use. Compute is separate from storage so you pay for things separately. Snowflake is a fully elastic cloud data warehouse—scale up and down at any time. The cost of storage is comparable to the price of Amazon S3—with a one-year contract your cost of storage is only $23 / compressed TB In other words, you can effectively store data in the world’s most powerful data warehouse for the same price as Amazon S3.
  13. Leverage data as a business asset Companies need data to gain insight into their own company -Drive revenue -Competitive insight -Closer partnerships Snowflake enables any data stored in Snowflake, Securely share with anyone -Your account or other Snowflake customers Your data, you have complete ownership, pay for storage Enable other organizations access to the data through secure view When they run queries, they do that in their own account We don’t participate
  14. That’s not possible! Multi cluster shared data At the heart of the architecture is the data itself -Blobs within S3 (storage engine) Immutability is a tremendous advantage. When you load its loaded into S3 as a set of files -As the data is brought in, we extract metadata and put it into columns and micropartions for pruning -Don’t declare partition keys -Tens of millions of partitions To do work, you need a virtual warehouse. -Cluster of compute, EC2 nodes on AWS -They do all the processing -Different sizes -Multi-cluster – more than one cluster at a time. Concurrency. -Servcices, the layer that makes this all possible When you login online, you authenticate and it passes through services When you issue a query, we parse your query, perform the right prune, and efficiently scan the data for you When a multi statement transaction starts, every other query will see the data as it was before it began… until the query is done then they see the updated version It all works because S3 is immutable!