List of Pages in Category Spark (35 pages)
Apache Spark
Apache Spark is a general framework for distributed computing that offers very high
performance for both iterative and interactive processing. Spark exposes APIs for Java, Python, and Scala. Spark consists of Spark core and several related projects:
- Spark SQL - module for working with structured data. Allows you to seamlessly mix SQL queries with Spark programs.
- Spark Streaming - API that allows you to build scalable fault-tolerant streaming applications.
- MLlib - library that implements common machine learning algorithms.
- GraphX - API for graphs and graph-parallel computation.
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- Managing Spark
- Managing Spark Standalone Using the Command Line
- Managing Spark Using Cloudera Manager
- Managing the Spark History Server
- Monitoring Spark Applications
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- Running a Crunch Application with Spark
- Running Hive on Spark
- Running Spark Applications
- Running Spark Applications on Spark Standalone
- Running Spark Applications on YARN
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- Spark (Standalone) Metrics
- Spark (Standalone) Properties in CDH 5.0.0
- Spark (Standalone) Properties in CDH 5.1.0
- Spark (Standalone) Properties in CDH 5.2.0
- Spark (Standalone) Properties in CDH 5.3.0
- Spark (Standalone) Properties in CDH 5.4.0
- Spark Applications
- Spark Authentication
- Spark Indexing
- Spark Installation
- Spark Metrics
- Spark Packages
- Spark Prerequisites
- Spark Properties in CDH 5.0.0
- Spark Properties in CDH 5.1.0
- Spark Properties in CDH 5.2.0
- Spark Properties in CDH 5.3.0
- Spark Properties in CDH 5.4.0
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