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ELT is Better. Here's Why.

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Matillion
Matillion

The demand for speed in data loading and transformation has never been greater—companies that can’t keep up will be left behind. Traditional ETL is being outpaced by cloud-native ELT tools which are both faster and more efficient. In this webinar, we examine the differences between ETL and ELT, and explain what they mean for your data and your business. - Learn what makes ELT different from traditional ETL - See how a modern ELT architecture outperforms ETL - Explore how the latest trends in ELT technology affect your business - Discover how Matillion’s ELT solutions can help you quickly load and transform massive amounts of data

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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. 10/10/2017 ELT is Better. Here’s Why. Wednesday, June 6th, 11am EST Daniel Shah and Paul Johnson
2 www.matillion.com © 2017 Matillion. All rights reserved. Agenda • What is the difference between ETL and ELT? • Why has ETL been the dominant paradigm? • When should I use ETL vs. ELT? • Demonstration
3 www.matillion.com © 2017 Matillion. All rights reserved. Extract, Transform and Load
4 www.matillion.com © 2017 Matillion. All rights reserved. Extract, Load, Transform
5 www.matillion.com © 2017 Matillion. All rights reserved. Why has ETL been the dominant paradigm? 1. License model of legacy data warehouses 2. Fast performing storage costs 3. Query performance / concurrency issues
6 www.matillion.com © 2017 Matillion. All rights reserved. When to use ELT ELT should be used, instead of ETL, in these various cases : 1. There are big volumes of data 2. Ingestion speed is a factor 3. The source database and the target database are the same 4. When you know you will need to scale 5. Aggregations & Lookups
7 www.matillion.com © 2017 Matillion. All rights reserved. When to use ETL ETL should be used, instead of ELT, in these various cases: 1. The target can’t perform massively parallel operations 2. When concurrency is an issue 3. When you must leverage third party libraries/services
8 www.matillion.com © 2017 Matillion. All rights reserved. What about ETLT?
9 www.matillion.com © 2017 Matillion. All rights reserved. Demonstration
10 www.matillion.com © 2017 Matillion. All rights reserved. ELT is better. Here is why. • Bulk Operations are MUCH faster with ELT • Ingestion Speed is MUCH MUCH faster! • Total Cost of Ownership is lower • Simplified Data Architecture • Concurrency & Performance issues solved
11 www.matillion.com © 2017 Matillion. All rights reserved. • Available only on AWS Marketplace/Cloud Launcher • 14 day free trial and test drives • SA team to support PoCs, demos and training • Customer reference videos on YouTube Summary and how to engage
12 www.matillion.com © 2017 Matillion. All rights reserved.
13 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. 10/10/2017 Thank You Daniel Shah and Paul Johnson

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ELT is Better. Here's Why.

  • 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. 10/10/2017 ELT is Better. Here’s Why. Wednesday, June 6th, 11am EST Daniel Shah and Paul Johnson
  • 2. 2 www.matillion.com © 2017 Matillion. All rights reserved. Agenda • What is the difference between ETL and ELT? • Why has ETL been the dominant paradigm? • When should I use ETL vs. ELT? • Demonstration
  • 3. 3 www.matillion.com © 2017 Matillion. All rights reserved. Extract, Transform and Load
  • 4. 4 www.matillion.com © 2017 Matillion. All rights reserved. Extract, Load, Transform
  • 5. 5 www.matillion.com © 2017 Matillion. All rights reserved. Why has ETL been the dominant paradigm? 1. License model of legacy data warehouses 2. Fast performing storage costs 3. Query performance / concurrency issues
  • 6. 6 www.matillion.com © 2017 Matillion. All rights reserved. When to use ELT ELT should be used, instead of ETL, in these various cases : 1. There are big volumes of data 2. Ingestion speed is a factor 3. The source database and the target database are the same 4. When you know you will need to scale 5. Aggregations & Lookups
  • 7. 7 www.matillion.com © 2017 Matillion. All rights reserved. When to use ETL ETL should be used, instead of ELT, in these various cases: 1. The target can’t perform massively parallel operations 2. When concurrency is an issue 3. When you must leverage third party libraries/services
  • 8. 8 www.matillion.com © 2017 Matillion. All rights reserved. What about ETLT?
  • 9. 9 www.matillion.com © 2017 Matillion. All rights reserved. Demonstration
  • 10. 10 www.matillion.com © 2017 Matillion. All rights reserved. ELT is better. Here is why. • Bulk Operations are MUCH faster with ELT • Ingestion Speed is MUCH MUCH faster! • Total Cost of Ownership is lower • Simplified Data Architecture • Concurrency & Performance issues solved
  • 11. 11 www.matillion.com © 2017 Matillion. All rights reserved. • Available only on AWS Marketplace/Cloud Launcher • 14 day free trial and test drives • SA team to support PoCs, demos and training • Customer reference videos on YouTube Summary and how to engage
  • 13. 13 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. 10/10/2017 Thank You Daniel Shah and Paul Johnson