September 2017
Beginner to intermediate
360 pages
8h 13m
English
book
Practical Real-time Data Processing and Analytics
by Shilpi Saxena, Selva raj Ramasamy, Prateek Bhati, Saurabh Gupta
Content preview from Practical Real-time Data Processing and Analytics
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Spark architecture - working inside the engine
We have looked at the components of spark framework, its advantages/disadvantages, and the scenarios where it best fits in solution design. In the following section, we will delve deeper into the internals of Spark, its architectural abstractions, and workings. Spark works in a master salve model and the following diagram shows the layered architecture for it:
If we start bottom up from the layered architecture depicted in the preceding diagram:
- The physical machines or the nodes are abstracted by a data storage layer (that could a HDFS/distributed file system/AWS S3). This data storage layer ...
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