Hadoop Data Management with Hive, Pig, and SAS
In this course, you use processing methods to prepare structured and unstructured big data for analysis. You learn to organize this data into a variety of Hadoop distributed file system (HDFS) storage formats for processing efficiency using Apache Hive and Apache Pig. You also learn SAS software technologies that integrate with Hive and Pig and how to leverage these open source capabilities by programming with Base SAS and SAS/ACCESS Interface to Hadoop.Learn how to
Who should attendData scientists and programmers, database administrators, applications developers, and ETL developers who are looking for an in-depth technical overview of data management in the Hadoop ecosystem
A basic understanding of and experience with UNIX and SQL is preferred. For advanced topics such as user-defined functions, prior programming experience is necessary.
This course addresses Base SAS, SAS Data Connector to Hadoop software.
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Hadoop Data Management with Hive, Pig, and SAS||14.0 hours||180 days||English||936 CAD / 1.5 EPTO|
|Dates||Location||Time||Language||Fee||Add to Cart|
|13-16 JAN 2020||Live Web||01:00 PM-04:30 PM EST||English||1,500 CAD / 2.6 EPTO|
|01-04 JUN 2020||Live Web||01:00 PM-04:30 PM EDT||English||1,500 CAD / 2.6 EPTO|
|14-17 DEC 2020||Live Web||01:00 PM-04:30 PM EST||English||1,500 CAD / 2.6 EPTO|