Talend Big Data Integration Training Course

Last updated

Course Code

talendbigdata

Duration

28 hours (usually 4 days including breaks)

Requirements

  • An understanding of relational databases
  • An understanding of data warehousing
  • An understanding of ETL (Extract, Transform, Load) concepts

Audience

  • Business intelligence professionals
  • Database professionals
  • SQL Developers
  • ETL Developers
  • Solution architects
  • Data architects
  • Data warehousing professionals
  • System administrators and integrators

Overview

Talend Open Studio for Big Data is an open source ETL tool for processing big data. It includes a development environment to interact with Big Data sources and targets, and run jobs without having to write code.

This instructor-led, live training (online or onsite) is aimed at technical persons who wish to deploy Talend Open Studio for Big Data to simplifying the process of reading and crunching through Big Data.

By the end of this training, participants will be able to:

  • Install and configure Talend Open Studio for Big Data.
  • Connect with Big Data systems such as Cloudera, HortonWorks, MapR, Amazon EMR and Apache.
  • Understand and set up Open Studio's big data components and connectors.
  • Configure parameters to automatically generate MapReduce code.
  • Use Open Studio's drag-and-drop interface to run Hadoop jobs.
  • Prototype big data pipelines.
  • Automate big data integration projects.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction

Overview of "Open Studio for Big Data" Features and Architecture

Setting up Open Studio for Big Data

Navigating the UI

Understanding Big Data Components and Connectors

Connecting to a Hadoop Cluster

Reading and Writing Data

Processing Data with Hive and MapReduce

Analyzing the Results

Improving the Quality of Big Data

Building a Big Data Pipeline

Managing Users, Groups, Roles, and Projects

Deploying Open Studio to Production

Monitoring Open Studio

Troubleshooting

Summary and Conclusion

Testimonials

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★★★★★

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