IBM Db2

Get an explanation of the key features, best practices, and benefits of ingesting data from IBM Db2 on Cloud into watsonx.data with DataStage on IBM Cloud Pak for Data.

This article explains the four types of database columns that can be defined using JSON table and provides examples of using JSON_TABLE to retrieve JSON objects from the web and process that information in relational form.

In this tutorial, we demonstrate how data scientists can easily collect data from databases, analyse the data and enhance the data according to their requirements with the help of Watson Data Refinery on IBM Cloud Pak for Data and Watson Studio on IBM Cloud.

This article explains how to migrate an IBM DB2 database from Linux (little endian) to IBM AIX (big endian)

Learn how to easily allow your users to search DB2 for Linux, UNIX, and Windows data in a way that is natural for them, with no worries about case sensitivity.

The definition of a materialized query table (MQT) is based upon the result of a query. MQTs can significantly improve the performance of queries. This article introduces you to MQTs, summary tables, and staging tables, and shows you, by way of working examples, how to get up and running with materialized query tables.

The IBM Db2Universal Database (UDB) command line processor (CLP) is a convenient interface for accessing Db2 functions. Explore the three modes in which the CLP operates, get a detailed explanation of the db2 command, and learn some recent usability enhancements that are sure to please command line users. And, for those who prefer to work with graphical tools, see an overview of the Command Editor.