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2021 | OriginalPaper | Chapter

Data Tiering Options with SAP HANA and Usage in a Hadoop Scenario

Authors : Michael Morawski, Georg Schmidt

Published in: The Digital Journey of Banking and Insurance, Volume III

Publisher: Springer International Publishing

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Abstract

The authors provide an overview of data tiering options with SAP HANA in various settings. For a Big Data scenario, the tandem SAP HANA and Hadoop is a good fit to cope with the future challenges and make use of Hadoop as a data tiering platform for SAP HANA. A deeper look is taken into connecting HANA with Hadoop via the Spark Controller and applying data tiering with the Data Lifecycle Manager.

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Literature
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go back to reference Kopic, Eva, Bezu Teschome, Thomas Schneider, Ralph Steurer, and Sascha Florin. 2019. “In-Memory Databases and Their Impact on Our (Future) Organizations.” In The Impact of Digital Transformation and Fintech on the Finance Professional, edited by Volker Liermann and Claus Stegmann. New York: Palgrave Macmillan. Kopic, Eva, Bezu Teschome, Thomas Schneider, Ralph Steurer, and Sascha Florin. 2019. “In-Memory Databases and Their Impact on Our (Future) Organizations.” In The Impact of Digital Transformation and Fintech on the Finance Professional, edited by Volker Liermann and Claus Stegmann. New York: Palgrave Macmillan.
Metadata
Title
Data Tiering Options with SAP HANA and Usage in a Hadoop Scenario
Authors
Michael Morawski
Georg Schmidt
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-78821-6_4