Talend Certification Training

$389.00 $252.85

The training has been developed in partnership with Talend® and is designed to help you master Big Data Integration Platform using Talend Open Studio to easily connect and analyze data.You'll use Talend ETL tool with HDFS, PIG and Hive on real-life case studies.


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About The Course
Talend Open Studio (TOS) is a wonderful open source Data Integration (DI) tool used to build end-to-end ETL solutions. This course, developed in partnership with Talend® is designed to not only help beginners to understand the art of data integration but to also equip them with Big Data skills. This course aims to educate you about Big Data through Talend's powerful product "Talend for Big Data" (the first Hadoop-based data integration platform).

Edureka is an Official Talend Partner

“Through our direct collaboration with Edureka, we’ll be able to help shape the curriculum to match what’s going on in the big data market and help train a new generation of developers to support companies as they transition to data-driven enterprises.” - Ashley Stirrup, Chief Marketing Officer, Talend

Course Objectives
After completion of the Talend For Big Data Course, you will be able to:
1. Understand the ETL concepts and How to solve the real time business problems using talend.
2. Understand Talend Architecture and its various components.
3. Gain familiarity with Talend tool to automate your complete Data Integration/Data Analysis/Data Warehousing requirements.
4. Implement the use cases to demonstrate the most frequently used transformations and components.
5. Interact with various types of source or target platform like Flat files (CSV, Fixed width), XML, Excel, Database, etc.
6. Implement the real time use case & project scenarios such as: Scheduling talend jobs, automation/parameterization, finding duplicates (data quality), data cleansing, Integrating (joining) various heterogeneous source system to achieve required target system.
7. Know that learning and expertise in TOS for DI is your best logical decision in taking the next big leap into Big Data world.
8. Access and work with Hadoop using talend.
9. How to play smart in Big Data environment (Hadoop).
10. How to build use cases in HDFS, Pig and Hive (the most demanded and futuristic skills).

Who should go for this course?
This course is a foundation to all professionals aspiring a career in ETL, Data Warehousing, Data Analyst, Data Scientist, Back-end support system. The following professionals can go for this course:
1. Business Analysts
2. Data Scientists
3. DW programmers
4. Data Architects
5. Solution Architects

Pre-requisites
There are no prerequisites for this course. Familiarity with Databases /SQL concepts will be beneficial.

Why learn Big Data For ETL and Data Warehouse ?

Today, when data is mushrooming and coming in heterogeneous forms, there is a growing need for a flexible, adaptable platforms. Talend fits just perfect in this space with a proven track record, making scope for vast opportunities. If you understand how to manage, transform, store your organisation data (retail, banking, airlines, research, insurance, cards etc.) and effectively represent it, then you are the resource organizations are looking for.
Edureka Certification:
At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a data set to work.

Once you are successfully through with the project (reviewed by an expert), we will award you with a certificate with a performance based grading.

If your project does not get approval in the first attempt, you can take additional assistance to understand the concepts better and reattempt the Project free of cost.

We partnered with Edureka. We provide up to 35% discount from the actual course fee.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

1. Role of Open Source ETL Technologies in Big Data
Learning Objectives - In this module, you will get an overview on various products offered by Talend corporation till date and get familiar with the relevance to Data Integration and Big Data. Also basic ETL and DWH concepts, how talend fits in and how open source technologies are taking Big Data into next level. Zero to Pro in minutes is what Talend has to offer in Big Data arena.

Topics - About Talend corporation and their journey, Overviews on: TOS (Talend Open Studio) for Data Integration, TOS for Data Quality, TOS for Master Data Management, TOS for Big Data, ETL concepts, Data warehousing concepts, Quiz session.

2. Talend: A Revolution in Big Data
Learning Objectives - In this module, you will get familiar with the TOS for DI tool, GUI, what is where, what is what. You will also learn to setup talend (installation) and most frequent error encountered and how to fix them, Talend architecture, Hadoop is not a threat to ETL but they go hand in hand.

Topics - 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, Quiz session.

3. Talend: Read & Write Various Types of Source/Target Systems
Learning Objectives - In this module, you will get acquainted with various types of source, target systems supported by Talend, Demo of popular CSV/Delimited file and fixed width file, How to read and write in this area, How to connect to Database and read/write/update data, How to read complex source system like Excel and XML.

Topics - 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, Quiz session, Hands on assignments.

4. Talend: How to Transform your Business: Basic

Learning Objectives - In this module, you will understand basic to advanced transformation components offered under TOS for DI.
You will also learn:
1- How homogeneous/heterogeneous data sources talk with each other
2- How to transform data patterns depending on business requirements

Topics - Using Advanced components like: tMap, tJoin, tFilter, tSortRow, tAggregateRow, tReplicate, tSplit, Lookup, tRowGenerator, Quiz session, Scenarios and assignments: How to join 2 sources and get matching from second source, rows to columns and columns to rows transformation, Remove Duplicates, Filter based on Business requirement.

5. Talend: How to Transform your Business: Advanced 1
Learning Objectives - In this module, you will learn to set dependencies between Jobs, Setting up parameters in Job, Use of Functions, Deploy jobs from development to production environment in realtime, Cross platform sharing with Talend (how to import and export information).

Topics - 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, Quiz session, Scenarios and assignments: How to search and replace errors in source data (Data Quality and cleansing), Job Trigger or Action (Possible scenario is “as soon as file arrives kick off a job”).

6. Talend: How to Transform your Business: Advanced 2
Learning Objectives - In this module, you will understand transformation and various steps: How to program looping in talend, How to search files in a directory and process one by one, Centralized error handling and debugging mechanism in talend.

Topics - 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), Quiz session, Scenarios and assignments: How to redirect errors in a job to central error loging which can be analysed later, How to create output files dynamically based on a field value in the source, How to read files in a directory (in loop) and process them one by one.

7. Big Data Concepts: Required for Talend for Big Data
Learning Objectives - In this module, you will understand the prior knowledge required in Hadoop in order to be comfortable while learning Talend for Big Data: Basics in Hadoop, HDFS (Hadoop Distributed File System) architecture Overview, MapReduce Concept Overview, Industry standards.

Topics - How module 1 to 6 will help in understanding and performing hands on Talend for Big Data and How Big Data will never be this easy to learn and use, Quiz session.

8. Introduction to Talend for Big Data
Learning Objectives - In this module, you will learn: TOS for BD means (Talend Open Studio for Big Data), How to setup Big Data environment on your machine, Big Data connectors in TOS for BD (Talend offers some 800+ connectors for Big Data environment), How to access HDFS from Talend.

Topics - Big Data setup using Hortonworks Sandbox in your personal computer, Explaining the TOS for Big Data Environment, Quiz session, Scenarios and assignments: Basic HDFS commands and Exploring in Sandbox, How to check connectivity to HDFS from Talend, How to read from HDFS in talend Job, How to write into HDFS from talend job.

9. Hive in Talend for Big Data

Learning Objectives - In this module, you will learn: What is Hive and concepts, How to setup Hive environment in Talend, Hive Big Data connectors in TOS for BD and Use Cases using Hive in Talend.

Topics - 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, Quiz session, Scenarios and assignments: Hive connectors, Use cases using Hive in Talend.

10. Pig in Talend for Big Data and Project
Learning Objectives - In this module, you will learn: What is Pig and concepts, How to setup Pig environment in Talend, Pig Big Data connectors in TOS for BD, Use cases using Pig in Talend, Project Implementation, Conclusion.

Topics - Quiz session, Scenarios and assignments: Using Pig connectors, Setup, Use case using Pig scripting via Talend. Business requirements: Source/Target/Mapping will be provided and explained, Quiz session and Discussion.
On Demand Course
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  • +1 309 733 4646
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Course Features:

There will be 10 instructor-led interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is for lifetime.

Each class will be followed by practical assignments which can be completed before the next class. These assignments will help in applying the concepts taught in the Live classes.

Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course.

You get lifetime access to the Learning Management System (LMS) where the presentations and class recordings can be found. The installation guides, sample codes, project documents are available in downloadable format in the LMS. Also, your login will never get expired.

We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you Live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock.

Towards the end of the course, you will be working on a project. Edureka certifies you as a Talend Expert based on the project reviewed by our expert panel. Anyone certified by Edureka will be able to demonstrate practical expertise in Talend For Big Data.

Need Help?
  • +1 309 733 4646
  • touchwoodlearning@gmail.com