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PT20922
Training Summary
This course is designed to aid programmers who are working with IBM's InfoSphere BigInsights. Writing programs that extract data from unstructured text can be a daunting task. You will learn how to create annotators through the use of IBM's Annotation Query Language (AQL). Analyzing data using Apache's Hadoop normally requires that MapReduce programs be written. You will learn how to use Jaql to create high level programs that are decomposed into Hadoop MapReduce programs. People familiar with the Hadoop technology are aware of other open source products that are used in this environment. This course will give you a foundation to program using the Apache Pig language. There is also overview of ZooKeeper, HBase, and Hive. One of the capabilities of the BigInsights Web Console is the ability to simplify the invocation of Hadoop applications. This course shows how to publish a text analytics application from the BigInsights development environment to a BigInsights server.
Prerequisites
You should have attended:IBM DB2 OLAP Server Administration and Performance Tuning (DW610) or equivalent knowledgeA programming background would be advantageous especially knowledge of SQL
Duration
2 Days
Audience
This intermediate course is for anyone with a need to learn the IBM Annotation Query Language (AQL), Jaql or Pig.
Course Topics
Describe the AQL data modelUse AQL to create annotatorsList the different extractors used to create AQL viewsDescribe how Jaql is used in a BigInsights environmentCode Jaql core operators to manipulate JSON dataExplain how to use SQL in JaqlDescribe how Apache's Pig can be used in a BigInsights environmentUse Pig core operators to analyze Hadoop dataExplain how ZooKeeper can be used to manage barriers or queuesCompare HBase to a Relational Database Management SystemPublish an application to a BigInsights serverLearn about, Cloud Data and AI, Information Architecture Market, Databases and Warehouse Portfolio, Db2