Data-intensive Systems Principles and Fundamentals using Hadoop and Spark /
Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the c...
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| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | SpringerBriefs in Advanced Information and Knowledge Processing,
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| Online Access: | https://doi.org/10.1007/978-3-030-04603-3 |
Table of Contents:
- Introduction
- Hadoop 101 and reference scenario
- Functional abstraction
- Introduction to MapReduce
- Hadoop Architecture
- MapReduce algorithms and patterns
- NOSQL Databases
- Spark.