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Licensed Unlicensed Requires Authentication Published by De Gruyter Oldenbourg June 30, 2017

Architecture of a data analytics service in hybrid cloud environments

  • Felix Beier

    Felix Beier studied Computer Science at the Technische Universität Ilmenau, Germany and received his Diploma (M.Sc.) in 2010. Since May 2010, he is a Ph.D. student in the Database and Information Systems group at the Faculty of Computer Science and Automation and the Graduate School for Image Processing and Image Interpretation of the Technische Universität Ilmenau. In his Ph.D. research he develops a framework for accelerating generalized index structures on massively parallel processor architectures and received an IBM Ph.D. Fellowship Award for his work in 2013. In August 2015, he joined IBM in Böblingen and works as software engineer in the IBM DB2 Analytics Accelerator for z/OS team.

    IBM Deutschland Research & Development GmbH, Schönaicher Str. 220, 71032 Böblingen, Germany

    and Knut Stolze

    Knut Stolze studied Computer Science at the University of Jena, Germany and received is Diploma (M.Sc.) in 1999. In the following years, he joined IBM as a visiting scientist at the Silicon Valley Lab, USA. He worked on technologies extending relational databases, improving functionality, usability and international standardization. From 2002 he continued to work for IBM and, additionally, was a Ph.D. student and teaching assistant at the University of Jena, Germany where he received is Ph.D. in 2006. His research focussed on spatial information in enterprise database management systems. In December 2006, Knut Stolze joined IBM Research & Development in Böblingen, working on DB2 for z/OS utilities and autonomic functions. Beginning of 2008, he became the architect for the IBM Smart Analytics Optimizer, a role he carried forward to the successor product, the IBM DB2 Analytics Accelerator.

    IBM Deutschland Research & Development GmbH, Schönaicher Str. 220, 71032 Böblingen, Germany

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Abstract

DB2 for z/OS is the backbone of many transactional systems in the world. IBM DB2 Analytics Accelerator (IDAA) is IBM's approach to enhance DB2 for z/OS with very fast processing of OLAP and analytical SQL workload. While IDAA was originally designed as an appliance to be connected directly to System z, the trend in the IT industry is towards cloud environments. That offers a broad range of tools for analytical data processing tasks.

This article presents the architecture for offering a hybrid IDAA, which continues the seamless integration with DB2 for z/OS and now also runs as a specialty engine in cloud environments. Both approaches have their merit and will remain important for customers in the next years. The specific challenges for accelerating query processing for relational data in the cloud are highlighted. Specialized hardware options are not readily available, and that has a direct impact on the system architecture, the offered functionality and its implementation.

About the authors

Felix Beier

Felix Beier studied Computer Science at the Technische Universität Ilmenau, Germany and received his Diploma (M.Sc.) in 2010. Since May 2010, he is a Ph.D. student in the Database and Information Systems group at the Faculty of Computer Science and Automation and the Graduate School for Image Processing and Image Interpretation of the Technische Universität Ilmenau. In his Ph.D. research he develops a framework for accelerating generalized index structures on massively parallel processor architectures and received an IBM Ph.D. Fellowship Award for his work in 2013. In August 2015, he joined IBM in Böblingen and works as software engineer in the IBM DB2 Analytics Accelerator for z/OS team.

IBM Deutschland Research & Development GmbH, Schönaicher Str. 220, 71032 Böblingen, Germany

Knut Stolze

Knut Stolze studied Computer Science at the University of Jena, Germany and received is Diploma (M.Sc.) in 1999. In the following years, he joined IBM as a visiting scientist at the Silicon Valley Lab, USA. He worked on technologies extending relational databases, improving functionality, usability and international standardization. From 2002 he continued to work for IBM and, additionally, was a Ph.D. student and teaching assistant at the University of Jena, Germany where he received is Ph.D. in 2006. His research focussed on spatial information in enterprise database management systems. In December 2006, Knut Stolze joined IBM Research & Development in Böblingen, working on DB2 for z/OS utilities and autonomic functions. Beginning of 2008, he became the architect for the IBM Smart Analytics Optimizer, a role he carried forward to the successor product, the IBM DB2 Analytics Accelerator.

IBM Deutschland Research & Development GmbH, Schönaicher Str. 220, 71032 Böblingen, Germany

Received: 2016-11-1
Revised: 2017-5-26
Accepted: 2017-5-29
Published Online: 2017-6-30
Published in Print: 2017-6-27

©2017 Walter de Gruyter Berlin/Boston

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