Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and inbuilt tools for interactive query analysis (Shark), large-scale gra
Fast Data Processing with Spark 2
โ Scribed by Krishna Sankar
- Publisher
- Packt Publishing
- Year
- 2016
- Tongue
- English
- Leaves
- 269
- Edition
- 3rd
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Data Processing;Databases & Big Data;Computers & Technology;Algorithms;Data Structures;Genetic;Memory Management;Programming;Computers & Technology;Enterprise Applications;Software;Computers & Technology
๐ SIMILAR VOLUMES
Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and inbuilt tools for interactive query analysis (Shark), large-scale gra
Spark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), larg
Spark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), larg
Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and inbuilt tools for interactive query analysis (Shark), large-scale gra