Move warm and cold data to extended storage!

SAP HANA Data Lifecycle Management: Dynamic Tiering and Data Aging

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Available on 11/14/2019

90 pages, E-book formats: EPUB, MOBI, PDF, online
2019-11, ISBN 978-1-4932-1921-6
Preserve the performance of your SAP HANA system with data tiering and data aging! Set up warm storage with SAP HANA dynamic tiering and partition your SAP HANA tables. Connect your SAP HANA instance to Apache Hadoop for cold data storage with the SAP HANA Spark controller. Configure the data lifecycle manager and learn to move data to extended storage with step-by-step instructions!
  • Set up SAP HANA dynamic tiering and the data lifecycle manager
  • Install SAP HANA Spark controller and connect to Apache Hadoop
  • Move data to warm and cold storage with the data lifecycle manager
Content Keywords: SAP HANA dynamic tiering, data lifecycle manager, data aging, extended storage, Apache Hadoop

Muhammad Iqbal is a principal consultant for big data and cloud analytics at SAP Canada. He has more than 18 years of experience in end-to-end information technology system development and maintenance.

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