Scalability and Realtime on Big Data, MapReduce, NoSQL and Spark-Reference-Cited by-同舟云学术

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Scalability and Realtime on Big Data, MapReduce, NoSQL and Spark

Published:2017 Issue: Volume: Page:79-104
ISSN:1865-1348
Container-title:Business Intelligence
language:
Short-container-title:

Author:

Furtado Pedro

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-61164-8_4

Reference57 articles.

1. Armbrust, M., Xin, R.S., Lian, C., Huai, Y., Liu, D., Bradley, J.K., Meng, X., Kaftan, T., Franklin, M.J., Ghodsi, A. and Zaharia, M.: Spark SQL: relational data processing in spark. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD 2015 (2015)

2. Chiba, T., Onodera, T.: Workload characterization and optimization of TPC-H queries on Apache Spark, Research Report RT0968, IBM Research – Tokyo, 16 October 2015

3. Chiba, T., Onodera, T.: Workload characterization and optimization of TPC-H queries on Apache Spark. In: 2016 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) (2016)

4. Costa, J., Cecílio, J., Martins, P., Furtado, P.: ONE: predictable and scalable DW model. In: International Conference on Big Data Analytics and Knowledge Discovery (2011)

5. Costa, J.P.: Massively scalable data warehouses with performance predictability, PhD thesis, University of Coimbra, July 2015

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