Talend for Data Integration and Big data

Use Talend for seamless Big Data integration

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Key Highlights

  • 32 Hours of Live Instructor-led Classes
  • 8 sessions of 4 hours each on Weekends
  • Live Project on Real-life Case Studies
  • Practical Assignments
  • Lifetime Access to Learning Management System
  • 24x7 Expert Support
  • Course Completion Certificate
  • Online Forum for Discussions

Course Price

$349.00 $699.00

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Available Courses Delivery

This course is available in the following formats:

Course Overview

The course on Talend Open Studio for Data Integration and Big Data assists trainees in simplifying Big Data integration. After completing the certification, learners can use Talend to work easily on Apache data platforms like Apache Pig, Apache Hadoop, Apache Spark, and Apache Hive along with NoSQL databases. With its drag-and-drop features, Talend accelerates the development process significantly.

Course Objectives

  • Understand ETL concepts
  • Solve real-time and critical business problems using Talend
  • Grasp the Talend architecture and become familiar with its tools for data integration and analysis
  • Understand the benefits of Talend and Hadoop integration
  • Implement HDFS, Pig, and Hive using Talend Open Studio

Career Benefits

  • Enter the demanding big data market
  • Work for more than 1,300 enterprise customers, including Groupon, Virgin Mobile, and GE
  • Boost prospects in the big data and data warehousing sectors
  • Bring innovative solutions for critical business problems using Talend Open Studio
  • Provide specialized support for Big Data integration


  • Basic Knowledge of Data Warehousing

Who should take up?

  • Data Warehousing Professionals
  • Software Engineers
  • Data Analysts
  • Solution & Data Architects
  • Business Analysts
  • System Administrators

Course Content

  • Working with ETL
  • Rise of Big Data
  • Role of Open Source ETL Technologies in Big Data
  • Comparison with other market leader tools in ETL domain
  • Importance of Talend (Why Talend)
  • Talend and its Products
  • Introduction of Talend Open Studio
  • TOS for Data Integration
  • GUI of TOS with Demo
  • Launching Talend Studio
  • Working with different workspace directories
  • Working with projects
  • Creating and executing jobs
  • Connection types and triggers
  • Most frequently used Talend components [tJava, tLogRow, tMap]
  • Read & Write Various Types of Source/Target Systems
  • Working with files [CSV, XLS, XML, Positional]
  • Working with databases [MySQL DB]
  • Metadata management
  • Context Variables
  • Using Talend components
  • tJoin
  • tFilter
  • tSortRow
  • tAggregateRow
  • tReplicate
  • tSplit
  • Lookup
  • tRowGenerator
  • Accessing job level/ component level information within the job
  • SubJob (using tRunJob, tPreJob, tPostJob)
  • Various components of file management (like tFileList, tFileAchive, tFileTouch, tFileDelete)
  • Error Handling [tWarn, tDie]
  • Type Casting (convert datatypes among source-target platforms)
  • Looping components (like tLoop, tForeach)
  • Using FTP components (like tFTPFileList, tFTPFileExists, tFTPGet, tFTPPut)
  • Exporting and Importing Talend jobs
  • How to schedule and run Talend DI jobs externally (using Command line)
  • Parameterizing a Talend job from command line
  • Big Data and Hadoop
  • HDFS and MapReduce
  • Benefits of using Talend with Big Data
  • Integration of Talend with Big Data
  • HDFS commands Vs Talend HDFS utility
  • Big Data setup using Hortonworks Sandbox in your personal computer
  • Explaining the TOS for Big Data Environment
  • Hive and It?s Architecture
  • Connecting to Hive Shell
  • Set connection to Hive database using Talend
  • Create Hive Managed and external tables through Talend
  • Load and Process Hive data using Talend
  • Transform data from Hive using Talend
  • Pig Environment in Talend
  • Pig Data Connectors
  • Integrate Personalized Pig Code into a Talend job
  • Apache Kafka
  • Kafka Components in TOS for Big data
  • In this module of Talend Training, you will be developing a Project using Talend DI and Talend BD with MySQL, Hadoop, HDFS, Hive, Pig, and Kafka


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