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 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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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
| Starting date |
Place |
Type | Course duration |
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 | ||
| G | Guaranteed course | ||||||
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
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.