July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Why Spark?
Spark is a lightning fast cluster computing framework and is mainly designed for fast computations. Spark is based on the Hadoop MapReduce model and uses MapReduce in more forms and types of computation, such as interactive queries and stream processing. One of the main features of Spark is in-memory processing, which helps increase the performance and processing speed of an application. Spark supports a wide range of applications and workloads, such as the following:
- Batch-based applications
- Iterative algorithms that were not possible to run fast before
- Interactive query and streaming
Also, it doesn't require much time for you to learn Spark and implement it in your applications without the need to understand the inner details ...
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