Mastering Spark with R by Javier Luraschi
Author:Javier Luraschi
Language: eng
Format: epub
Publisher: O'Reilly Media
Published: 2019-06-23T16:00:00+00:00
Figure 8-1. Spark processing raw data from a data lakes, databases, and data warehouses
To support a broad variety of data sources, Spark needs to be able to read and write data in several different file formats (CSV, JSON, Parquet, and others), and access them while stored in several file systems (HDFS, S3, DBFS, and more) and, potentially, interoperate with other storage systems (databases, data warehouses, etc.). We will get to all of that, but first, we will start by presenting how to read, write, and copy data using Spark.
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| Access | Data Mining |
| Data Modeling & Design | Data Processing |
| Data Warehousing | MySQL |
| Oracle | Other Databases |
| Relational Databases | SQL |
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