Hadoop Data Management with Hive, Pig, and SAS(R)

Course code: DIHDM

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.

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Course dates

Starting date: Upon request

Type: E-learning

Course duration: 14 hours

Language: en

Price without VAT: 720 EUR


Starting date: Upon request

Type: Upon request

Course duration: 14 hours

Language: en

Price without VAT: 1 200 EUR


Type Course
Language Price without VAT
Upon request E-learning 14 hours en 720 EUR Register
Upon request Upon request 14 hours en 1 200 EUR Register
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Target group

Data 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

Course structure

Hadoop Essentials

  • Hadoop architecture.
  • Hadoop ecosystem.

Working with Hadoop Data Using Hive

  • Apache Hive overview.
  • Data definition language.
  • Hive SerDes and storage formats.
  • Data manipulation language.

Working with Hadoop Data Using Pig

  • Apache Pig overview.
  • Anatomy of a Pig script.
  • Basic Pig programming.
  • Pig programming using functions.

Working with Hadoop Data Using SAS

  • Using Base SAS tools.
  • Using SAS/ACCESS methods.


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.

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