View the webinar here - https://bit.ly/2ErkxYY Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity. The Impetus Workload Transformation Solution makes the journey to the cloud easier by automating the DW migration to cloud-native data warehouse platforms like Snowflake. The solution enables enterprises to automate conversion of source DDL, DML scripts, business logic, and procedural constructs. Enterprises can preserve their existing investments, eliminate error-prone, slow, and expensive manual practices, mitigate any risk, and accelerate time-to-market with the solution. Join our upcoming webinar where Impetus experts will detail: Cloud migration strategy Critical considerations for moving to the cloud Nuances of migration journey to Snowflake Demo – Automated workload transformation to Snowflake. To view - visit https://bit.ly/2ErkxYY

1. Copyright © 2019 Impetus Technologies, Inc.
You are prohibited from making a copy or modification of, or from redistributing, rebroadcasting, or
re-encoding of this content without the prior written consent of Impetus.
This presentation may include images from other products and services. These images are used for
illustrative purposes only. Unless explicitly stated there is no implied endorsement or sponsorship of
these products by Impetus. All copyrights and trademarks are property of their respective owners.

2. Automate and Optimize
Data Warehouse Migration
to Snowflake
IMP

3. Our Mission
Enabling a unified, clear, and present view of your business

4. Contents
Cloud migration strategy
How Impetus can help
Automated workload transformation to Snowflake
Demo
Q&A

5. Poll

6. Speakers
Barry Tuthill
VP Field Operations
Impetus Technologies
Sanjay Sharma
Principal Architect
Impetus Technologies

7. Cloud Migration Strategy

8. Key Considerations
Business
• BAU
• Existing investments
• Risk management
• Cost and scale
• People, processes, etc.
• Interoperability

9. Key Considerations
Technical
• Architecture (Tech stack)
• Performance
• Migration blueprint
• Automation
• Parallel-run period

10. Top 5 Concerns
Existing investments
Migrate as is vs. total re-engineering
Extent of automation
Risk and uncertainty
Performance and cost

11. Typical Migration Checklist

12. Migration Checklist
Reuse – Embrace what you already have
Automate – Leverage automation for faster time-to-value
Optimize – Meet the performance SLA and budget on cloud
Certify – Thoroughly validate before you put them into production

13. Migration Checklist
Reuse – Embrace what you already have
Automate – Leverage automation for faster time-to-value
Optimize – Meet the performance SLA and budget on cloud
Certify – Thoroughly validate before you put them into production

14. Migration Checklist
Reuse – Embrace what you already have
Automate – Leverage automation for faster time-to-value
Optimize – Meet the performance SLA and budget on cloud
Certify – Thoroughly validate before you put them into production

15. Migration Checklist
Reuse – Embrace what you already have
Automate – Leverage automation for faster time-to-value
Optimize – Meet the performance SLA and budget on cloud
Certify – Thoroughly validate before you put them into production

16. How Impetus Can Help

17. End-to-end Automated Migration
Assessment and recommendations for migration
Optimized Schema (DDL) transformation
Data migration – one time and incremental pipelines setup
Workload logic (DML) conversion to SnowSQL
Stored Procedure conversion to Snow JavaScript procedures, Spark or Python wrappers
Scheduling/ orchestration logic conversion to Shell or Python or Cloud native wrappers
Agile DevOps, Continuous integration and delivery process setup
Validation and certification

18. Automating the Complete Migration Lifecycle
1
2
3
4
Assess
Transform
Validate
Execute

19. Assessment
Automated profiling
Identification of workloads and dependencies
Creation of optimized schema
Grouping of workloads

20. Transformation
90% automated code conversion to SnowSQL
Automated data migration to an optimized schema
Automated handling of data types, views, UDFs and stored procedures
Creation of patterns for the target platform
Auto-generation of patterns for newer migrations
Query-editing for optimized fixes and performance tuning

21. Validation and Execution
Auto-generation of validation/ reconciliation scripts
Execution through cloud ready orchestration/ execution engine
Integrated DevOps and Agile processes setup
Accelerated decommissioning methodology to retire legacy footprint
Multi cloud ready with security and governance

22. Automated Workload Transformation to Snowflake
ENTERPRISE
DATA WAREHOUSE
VALIDATE
Query Logs
Script Files
Data
Query
BIG DATA
WAREHOUSE
ASSESS EXECUTETRANSFORM
Data - S3/Spark, Snowpipe, ETL
SQL,
Stored
Procedures,
Scheduling/
Workflow
LOGIC TRANSFORMATION
SnowSQL
Snow
JavaScript
procedures/
Spark/ Python /
Wrappers
Ingestion,
Scheduler/
workflow setup

23. Demo

24. Business Benefits
Accelerate time-to-value
Meet performance SLAs
Decrease risk and uncertainty
Automate end-to-end migration
Save up to 80% in cost, time, and effort
Maximize ROI

25. Poll Results and Feedback

26. Q&A

27. Thank You
Visit www.impetus.com or get in touch with us at inquiry@impetus.com