January 2019
Beginner to intermediate
154 pages
4h 31m
English
Content preview from Apache Spark Quick Start Guide
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DataFrames
As we already mentioned, DataFrame APIs are abstractions of RDD APIs. DataFrames are distributed collections of data that are organized in the form of rows and columns. In other words, DataFrames provide APIs to efficiently process structured data that's available in different sources. The sources could be an RDD, different types of files in a filesystem, any RDBMS, or Hive tables.
The features of DataFrames are as follows:
- DataFrames can process data that's available in different formats, such as CSV, AVRO, and JSON, or stored in any storage media, such as Hive, HDFS, and RDBMS
- DataFrames can process data volumes from kilobytes to petabytes
- Use the Spark-SQL query optimizer to process data in a distributed and optimized manner ...
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