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Talend for Big Data
Rated 4.0/5 based on 435 Votes customer reviews

Talend for Big Data Training

Learn more about ETL technologies and How Talend is used to access other frameworks such as Hive and Pig

  • 16 hours of Instructor-led training
  • Basic to Advanced level
  • Hands-on exercises
Request Syllabus Schedules

Modes of Delivery

Key Features

16 hours of Instructor-led sessions on Talend
Immersive hands-on learning
Understand basic and advanced concepts of Talend
Learn to access Hive data and tables in Talend and use Pig Scripting via Talend
Learn to use Talend for real time big data analytics
Our Talend trainers will guide students in future implemention of the technology

Description

Talend Training

Zeolearn brings you a virtual, hands on Talend training course, by the end of which you will learn how to use this tool to address Big Data integration and management challenges in organizations of all sizes. Starting from the basics such as Talend installation and its primary features you will move on to the more advanced concepts of using Talend functions to connect to databases and other target systems. You will also learn how to access Hive data and tables in Talend and use Pig Scripting via Talend.

Talend is an open source integration tool that helps connect Hadoop with data systems without the need to write code. Its popularity lies in its versatility and robustness and it has been implemented by a number of small, medium and large organizations, to manage and integrate their big data. Talend experts are in huge demand and this course will ensure that you get the expertise and skills to embark on a lucrative Talend career. 

Here’s what you will learn!

  • The ETL technologies and how they complement Big Data
  • Why Talend is preferred and how it helps in Big Data
  • To use Talend to harness Big Data
  • How Talend is used to access other frameworks such as Hive and Pig

Is this course right for you?

This course is apt for professionals who want to use Talend to implement Big Data solutions. A typical audience would include:

  • Business Analysts
  • Data Scientists
  • DW programmers 
  • Data Architects
  • Solution Architects and other professionals aspiring to get into ETL, Data Warehousing, Data Analyst, Data Scientist, and Back-end support professionals

Prerequisites:

There are no prerequisites for this course, though knowledge of databases /SQL concepts will be beneficial.

Curriculum

  • TOS (Talend Open Studio) Overview
  • TOS for Data Integration
  • TOS for Data Quality
  • TOS for Master Data Management
  • TOS for Big Data
  • ETL concepts
  • Data warehousing concepts
  • Why Talend
  • Features
  • Advantages
  • Talend Installation/System Requirements
  • GUI layout (designer)
  • Understanding it's Basic Features
  • Comparison with other market leader tools in ETL domain
  • Important areas in Talend Architecture: Project, Workspace, Job, Metadata, Propagation
  • Linking components
  • Hands On: Creating a simple job and discussion about it
  • Data Source Connection
  • File as Source
  • Create meta data
  • Database as source
  • Create metadata
  • Using MySQL database (create tables, insert, update data from talend)
  • Read and write into excel files, into multiple tabs
  • View data
  • How to capture log and navigate around basic errors
  • Role of tLogrow and how it makes developers life easy
  • Using Advanced components like: tMap, tJoin, tFilter, tSortRow, tAggregateRow, tReplicate,tSplit, Lookup, tRowGenerator
  • Trigger (types) and Row Types
  • Context Variables (paramaterization)
  • Functions (basic to advanced functions to transform business rules such as string, date, mathematical etc.)
  • Accessing job level / component level information within the job
  • Type Casting (convert datatypes among source-target platforms)
  • Looping components (like tLoop, tFor), tFileList, tRunJob
  • How to schedule and run talend DI jobs externally (not in GUI)
  • Basics in Hadoop
  • HDFS (Hadoop Distributed File System) architecture Overview
  • MapReduce Concept Overview
  • Industry standards
  • About setting up Big Data setup using Hortonworks Sandbox
  • TOS for Big Data Environment
  • How to create and access Hive tables in Talend
  • Process and Transform data from Hive
  • Access data from Hive
  • Transform and interact with MySQL tables
  • Using Pig connectors
  • Setup
  • Use case using Pig scripting via Talend

Frequently Asked Questions

The one thing that is common among organizations in the big league and those that have managed to get ahead of the competition is their use of Big Data. This massive structured or unstructured data has tons of hidden insights and patterns which when identified and implemented to offer business solutions can help sustain the business and generate profits. Talend is one such real time, open source integration tool that allows the integration and management of Big Data without the need to write complex Hadoop code. It is therefore highly preferred by organizations and ensures lucrative careers for professionals who are Talend experts.

Zeolearn academy’s Talend course is a complete course for those who want to learn and understand Talend. This course will teach you how to use Talend to make the most of Big data and deliver useful insights for generating profits. This online program is conducted by certified instructors who have spent years in the industry and will give you the best instructions through demo, practice sessions, courseware and sample exercises. Enrol now and take the Zeolearn advantage!

  • About the ETL concepts
  • What is Talend and how it helps provide solutions to business problems
  • Talend basics and advanced fundamentals
  • To use Talend to simplify Hadoop MapReduce and Big Data Integration
  • To use Talend for real time big data analytics
  • Talend’s graphical environment to visually map real-time data sources
  • How Talend interacts with various types of source or target platforms like Flat files (CSV, Fixed width), XML, Excel, Database, etc
  • How Talend is used to integrate with Hive, Pig

Zeolearn brings you online mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Big Data such as Comprehensive Hive and MapReduce, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

You will receive Talend certification in the form of a course completion certificate.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will implement a Talend job with Hadoop with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

This course is apt for professionals who want to use Talend to implement Big Data solutions. A typical audience would include:

  • Business Analysts
  • Data Scientists
  • DW programmers 
  • Data Architects
  • Solution Architects and other professionals aspiring to get into ETL, Data Warehousing, Data Analyst, Data Scientist, and Back-end support professionals

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