IBM Big SQL for Developers (v5.0)

Kurscode DW634G
Kurssprache Deutsch
Unterlagen Englisch
Anbieter IBM
Preis 700,00 Euro exkl. USt
Dauer 1 Tage
Kurstermine 13 Termine


This course is designed to introduce the student to the capabilities of IBM Big SQL. IBM Big SQL allows you to access your HDFS data by providing a logical view to it. You can use the same SQL that was developed for your data warehouse data on your HDFS data.

This course provides context on why you would use Big SQL followed by how to use Big SQL to access your data. It also covers what Big SQL is, how it is used, and the Big SQL architecture. The course also covers how to connect to Big SQL, create tables with a variety of data types, load data in, and run queries against the data. The course also shows how to use Big SQL with other components of the Hadoop ecosystem.


Developers, Administrators


Basic Linux knowledge
Basic SQL knowledge
Working knowledge with big data and Hadoop technologies


Ort des Kurses Kursbeginn  
Virtual Classroom 05. März 2021 Buchen
Virtual Classroom 09. April 2021 Buchen
München 30. April 2021 Buchen
Virtual Classroom 07. Mai 2021 Buchen
Virtual Classroom 07. Juni 2021 Buchen
Berlin 28. Juni 2021 Buchen
Virtual Classroom 02. Juli 2021 Buchen
Virtual Classroom 06. August 2021 Buchen
Stuttgart 23. August 2021 Buchen
Virtual Classroom 03. September 2021 Buchen
Virtual Classroom 01. Oktober 2021 Buchen
Frankfurt 25. Oktober 2021 Buchen
Virtual Classroom 03. Dezember 2021 Buchen




1: Using Big SQL to access data residing in the HDFS
• Overview of Big SQL
• Understand how Big SQL fits in the Hadoop architecture
• Working with Big SQL using Ambari and command line
• Connect to Big SQL using IBM Data Server Manager

2: Creating Big SQL schemas and tables
• Describe and create Big SQL schemas and tables
• Describe and list the Big SQL data types
• Work with various Big SQL DDLs
• Load data into Big SQL tables using best practices

3: Querying Big SQL tables
• Describe Big SQL supported file formats
• Query Big SQL tables using various DMLs

4: Querying data in HBase tables using Big SQL
• Describe the basic functions of HBase
• Issue basic HBase commands
• Use Big SQL to create and query HBase tables
• Map HBase columns to Big SQL

5: Analyzing data managed by Big SQL using Apache Spark
• Describe the purpose and role of Spark
• Query data managed by Big SQL using Spark

6: Using Big SQL with various data types and tables
• Querying complex JSON with Big SQL
• Working with Hive ACID tables in Big SQL

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