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Replatform your Teradata to a Next-Gen Cloud Data Platform in Weeks, Not Years

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Listen to key experts from Pivotal and Datometry on how your enterprise can migrate from a Teradata Data Warehouse to a next generation analytical platform in a matter of weeks, not years. Do this by using Greenplum, an open source, multi-cloud database solution along with Datometry’s category-defining data warehouse virtualization technology.

Join us and learn:

- How to gain significant economic and innovation benefits by moving to Pivotal Greenplum, a modern, multi-cloud data platform built for advanced analytics

- When to eliminate the re-writing of Teradata applications using Datometry data warehouse virtualization technology and reducing migration costs by up to 90%

- How to protect and expand your original data warehouse investment with new machine learning, geospatial, text, graph, and other innovative use cases

Speakers:
Mike Waas, Founder & CEO Datometry, Inc.
Mike is one of the world’s top domain experts on database research. He has held key engineering positions at Microsoft, Amazon, Greenplum, EMC, and Pivotal where he worked on some of the commercially most successful database systems. Mike has authored or co-authored more than 35 publications and holds 24 patents on data management.

Derek Comingore, Data Engineering & Analytics Champion, Pivotal Software, Inc.
Derek is a passionate internationally recognized champion of data engineering and analytics. Derek serves as a regional anchor and pre-sales lead for Pivotal Data. Prior to Pivotal, Derek founded and sold an MPP systems integrator firm that catered to the Fortune 500.

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Replatform your Teradata to a Next-Gen Cloud Data Platform in Weeks, Not Years

  1. 1. © 2018 Datometry, Inc. Datometry:
 Automatic Replatforming of Legacy Data Warehousing Workloads Mike Waas, Founder & CEO March 14, 2018 info@datometry.com
  2. 2. © 2018 Datometry, Inc. 2 Reasons Enterprises Leave On-Premises EDW Industry Trend Legacy EDW Cost cutting Move to the cloud Performance Strategy End-of-useful-life Capacity
  3. 3. © 2018 Datometry, Inc. 3 0 50 100 150 200 250 1 2 3 4 5 Switching cost for data warehouse Annual cost during replatforming project Current annual cost = 100 Replatforming project time in years Costin% conventional Switching Cost Conventional Replatforming
  4. 4. © 2018 Datometry, Inc. 4 Migration Paradox Conventional Replatforming Cost structure of DWH replatforming By components Component of replatforming project Costin% 0 10 20 30 40 50 60 70 80 90 Schema Conversio n Data Transfe r Application modification
  5. 5. © 2018 Datometry, Inc. 5 Virtualization platform for database applications Keep existing applications; run natively on Pivotal Greenplum Preserve years of infrastructure investment, move instantly A Radical New Way of Modernizing Data Management Adaptive Data Virtualization
  6. 6. © 2018 Datometry, Inc. 6 Platform Approach Adaptive Data Virtualization Applications Adaptive Data Virtualization New Cloud Data Warehouse Database IT / Cloud Data Warehouse
  7. 7. © 2018 Datometry, Inc. 7 0 50 100 150 200 250 1 2 3 4 Switching cost for data warehouse Annual cost during replatforming project Current annual cost = 100 Replatforming project time in years Costin% conventional with Datometry Redefining Economics Datometry
  8. 8. © 2018 Datometry, Inc. 8 Summary Datometry •  Datometry is a virtualization platform for database applications •  Keep your DWH applications & logic – move to the cloud rapidly •  Replatform at a fraction of cost, time, and risk
  9. 9. © Copyright 2017 Dell Inc.9 © Copyright 2018 Pivotal Software, Inc. All rights Reserved. Version 1.0 Derek Comingore Pivotal Data March 2018 Modernizing Proprietary Teradata Deployments
  10. 10. © Copyright 2017 Dell Inc.10
  11. 11. vSphere Openstack AWS Google Cloud Azure & Azure Stack Multi Structured Data Enhanced Security Commodity Networking Structured / JSON / AVRO / Parquet / XML & More Encryption / Isolation / LDAP / Credentials Standard 10gig interconnect Massively Parallel Analytics Engine Analytical Code & Applications ANSI SQL / BI & Reporting / Machine Learning / AI Apache MadLib Scalable Analytics Apache Solr Integrated Text Analytics Programmatic Any Language, In Parallel Geospatial Spatial Analytics Any Analytic. Run Anywhere. Modern Data Platform. JDBC/ODBC •  Open Source •  MPP Shared-Nothing •  Linear Scalability •  Petabyte Scale •  Multi Structured Data •  Data Lake Integration •  Massive Parallel Ingest On-Premises
  12. 12. Pivotal Greenplum + Datometry Hyper-Q
  13. 13. © 2018 Datometry, Inc. 14 Q&A Read leadership articles on why Global 2000 enterprises are moving legacy database stacks to the cloud at www.datometry.com/resources/cloud-express-articles Learn more about Greenplum, the open-source & massively parallel data platform at www.greenplum.org

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