Home // ALLDATA 2018, The Fourth International Conference on Big Data, Small Data, Linked Data and Open Data // View article
Authors:
Dirk Hölscher
Timo Bayer
Philipp Ruf
Christoph Reich
Frank Gut
Keywords: Domain Analysis Provisioner; Big Data Frameworks; Reusable Architectural Patterns; Cloud Computing
Abstract:
Big data is a new economic driver for many advanced technology domains, such as autonomous driving, reusable rockets or cancer research. Generating knowledge from large amounts of data in such domains, will become increasingly important. Management and processing is done in powerful big data infrastructures located in the cloud. Diversifying requirements for the different big data domains require new uniform and adaptable architectural patterns that can be implemented and changed without much effort. This paper introduces a generic domain independent cloud big data framework, focussing on simplifying data preprocessing tasks and the deployment of data analysis environments by using adaptable and easy to configure domain specific components.
Pages: 53 to 58
Copyright: Copyright (c) IARIA, 2018
Publication date: April 22, 2018
Published in: conference
ISSN: 2519-8386
ISBN: 978-1-61208-631-6
Location: Athens, Greece
Dates: from April 22, 2018 to April 26, 2018