As companies grow, so does the volume of their data. Without the proper solutions in place to quickly store, measure and analyze that data, its usefulness quickly declines. See our latest webinar to learn about how companies are increasingly turning towards cloud-based data warehousing to derive more value out of their data and apply their findings to make smarter business decisions. The webinar covers core topics including: - The benefits of using Snowflake’s unique architecture for interacting with data. - How Matillion can help you quickly load and transform your data to maximize its value. - Expert advice on how to apply data warehousing and ETL best practices. Watch the full webinar: https://youtu.be/mIOm3j431OQ

1. 1
www.matillion.com
© 2017 Matillion. All rights reserved.
Presented by:
Copyright © 2017. All rights reserved. Matillion, trademarks, registered trademarks or service
marks are property of their respective owners. 12/19/2017
Simplifying Your Journey to the Cloud:
The Benefits of a Cloud-Based Data Warehouse
Wednesday, December 13th, 11am EST
Jim Duffy (Slalom), Todd Beauchene (Snowflake) and Ed Thompson (Matillion)

2. 2
www.matillion.com
© 2017 Matillion. All rights reserved.
Introduction
 Current Scenario Around Big Data and Best Practices—Jim Duffy
 Intro to Snowflake & Snowflake Best Practices—Todd Beauchene
 Demo of Matillion ETL Loading Data into Snowflake—Ed Thompson

3. 4,700+
7 delivery centers
25 markets

4. Cloud Certified
Consultants
200+
Cloud Projects Delivered
8 Global Deployments on 7 continents
150+
Cloud, Application
& Data Architects
400+
Slalom is a Premier AWS Partner offering a wide network of
Application & Cloud Architects with extensive cloud credentials
Our teams understand how to get the MOST out of AWS deployments.

5. Sagemaker

8. Self
Service
Operational
Interface
Scalable
Architecture
Sales POS
Inventory E-commerce

9. 9© 2017 Snowflake Computing Inc. All Rights Reserved.
Y O U R D A T A , N O
L I M I T S
Todd Beauchene – Global Alliances Architect
Bringing Your Data
Together in the Cloud

10. 10© 2017 Snowflake Computing Inc. All Rights Reserved.
“Data! Data! Data!
I can't make bricks without clay.”
--Sherlock Holmes

11. 11© 2017 Snowflake Computing Inc. All Rights Reserved.
Data Warehousing in the Cloud
Data Integration
Business Intelligence &
Analytics
Data Warehouse
Enterprise
apps
Data Sources
Corporate
Web
Mobile
IoT

12. 12© 2017 Snowflake Computing Inc. All Rights Reserved.
What is Snowflake
Built for the
cloud
SQL Data
Warehouse
Our Vision
Provide all users anytime, anywhere
insights so they can make actionable
decisions based on data
Our Solution
Next-generation data warehouse built
from the ground up for the cloud and for
today’s data and analytics
Delivered as
a service

13. 13© 2017 Snowflake Computing Inc. All Rights Reserved.
Snowflake’s differentiating technology
Unique architecture: Multi-cluster, shared data
Single place for
data
z
Instant, unlimited
scalability
Minimal
management
Instant, live data
sharing

14. 14© 2017 Snowflake Computing Inc. All Rights Reserved.
• Storage separated from
compute
• Multiple compute clusters
(“virtual warehouses”)
• Virtual warehouses
concurrently access data
without contention
Snowflake architecture: Storage and compute
Compute
(virtual warehouses)
Storage
(cloud storage)

15. 15© 2017 Snowflake Computing Inc. All Rights Reserved.
• Centralized management
• Metadata separate from
storage and compute
• Full transactional consistency
across entire system
Snowflake architecture: Service
Compute
(virtual
warehouses)
Storage
(cloud
storage)
Service
MetadataSecurityTransactionsManagementOptimization

16. 16© 2017 Snowflake Computing Inc. All Rights Reserved.
Data Sources
Cloud
Typically backed by a
cloud database (i.e.
RDS)
Can run in customer
VPC
Typically offers fewer
options than on-
premises
Software as a service
Typically data is only
available via API
Outside of customer
firewall or VPC
Customer has very little
control over handling of
data
On Premises
Typically backed by a
local database
Data lives within the
firewall
Customer controls both
the data and the
system

17. 17© 2017 Snowflake Computing Inc. All Rights Reserved.
Data Integration Solutions
ETL
No need for code
Processing most often
happens outside of the
database
Easier to maintain than
code, but requires
specialized skills
ELT
Shift all data
processing to EDW
Requires tight
integration between
Data Integration and
EDW
Raw and transformed
data in one system
Customer Code
Flexible but complex
Programmers control
where the processing
will be done
Challenging to manage
and maintain

18. 18© 2017 Snowflake Computing Inc. All Rights Reserved.
Data Integration Solutions
Cloud
Easy to deploy and manage
Can run in customer VPC to provide
direct access to data within VPC or
behind firewall
Easy integration with Cloud Data
Warehouse
On Premises
Customer owns hardware and
software installation, configuration,
and updates
Don’t have to deal with firewall to
access local sources
Requires custom integration with
Cloud Data Warehouse

19. 19© 2017 Snowflake Computing Inc. All Rights Reserved.
Best Practices
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
Leverage the expertise of a Solution partner
© 2017 Snowflake | All Rights Reserved.
DATA INTEGRATION FOR CLOUD DATA WAREHOUSING

20. 20© 2017 Snowflake Computing Inc. All Rights Reserved.
YOUR DATA, NO
LIMITS
Thank You!
Todd Beauchene
Global Alliances Architect
todd@snowflake.net
@toddbeauchene

21. 21© 2017 Snowflake Computing Inc. All Rights Reserved.
Presented by:
Copyright © 2017. All rights reserved. Matillion, trademarks, registered trademarks or
service marks are property of their respective owners. 12/19/2017
Matillion ETL for Snowflake Demo
Ed Thompson (CTO, Matillion)

22. 22
www.matillion.com
© 2017 Matillion. All rights reserved.
ELT - Extract, Load then Transform
MATILLION EXTRACT, LOAD &
TRANSFORM APPROACH
TRADITIONAL EXTRACT, LOAD &
TRANSFORM APPROACH

23. 23
www.matillion.com
© 2017 Matillion. All rights reserved.
Benefits Matillion ETL for Snowflake

24. 24
www.matillion.com
© 2017 Matillion. All rights reserved.

25. 25© 2017 Snowflake Computing Inc. All Rights Reserved.
Presented by:
Copyright © 2017. All rights reserved. Matillion, trademarks, registered trademarks or
service marks are property of their respective owners. 12/19/2017
Thank You
Jim Duffy (Slalom), Todd Beauchene (Snowflake) and Ed Thompson (Matillion)