BigInsights Analytics for Programmers (DW653G)

Kursbeschreibung Kurstermine Detaillierter Kursinhalt
 

Zielgruppe

This intermediate course is for anyone with a need to learn the IBM Annotation Query Language (AQL), Jaql or Pig.

Voraussetzungen

You should have attended:

  • IBM DB2 OLAP Server Administration and Performance Tuning (DW610) or equivalent knowledge
  • A programming background would be advantageous especially knowledge of SQL

Kursinhalt

This course is designed to aid programmers who are working with IBMs 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 IBMs Annotation Query Language (AQL). Analyzing data using Apaches 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.

Classroom Training

Dauer 2 Tage

Preis (exkl. MwSt.)
  • Deutschland: 1.490,- €
inkl. Verpflegung
Verpflegung umfasst:

  • Kaffee, Tee, Saft, Wasser, Cola
  • Gebäck und Süßigkeiten
  • Belegte Brötchen
  • Frisches Obst
  • Mittagessen in einem der naheliegenden Restaurants

Gilt nur bei Durchführung durch Fast Lane. Termine, die von unseren Partnern durchgeführt werden, beinhalten ggf. ein abweichendes Verpflegungsangebot.


Digitale Kursunterlagen Termine und Buchen
 
Zum Buchen bitte auf den Ortsnamen klickenKurstermine
Deutschland
06.03. - 07.03.2017 Hamburg
02.05. - 03.05.2017 München
26.06. - 27.06.2017 Düsseldorf
21.08. - 22.08.2017 Berlin
16.10. - 17.10.2017 Frankfurt
Österreich
02.05. - 03.05.2017 Wien (iTLS)