Talend For Big Data

talend
Leveraging the power of HDFS, Pig and Hive using Talend without getting into the programming depth of ETL and Data Warehousing required for Hadoop.

Upcoming Batches :

STARTS DURATION DAYS TIME
09-May5 WeekSat,Sun08:30 PM-11:30 PM
20-Jun5 WeekSat,Sun07:00 AM-10:00 AM

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 will not only help the beginners to understand the art of data integration but also equip them with Big Data skills in the smart way. This course also aims to educate you about Big Data through Talend's powerful product "Talend for Big Data" (the first Hadoop-based data integration platform).

Course Objectives

After completion of the Talend For Big Data Course, you will be able to: 1. Understand the ETL concepts and how does talend fits in not only integrating your data but also takes you to next logical step of "Big Data" i.e. How to solve the real time business problems using talend? 2. Understand Talend Architecture and its various components, navigation. Gain familiarity with Talend tool to automate your complete Data Integration/Data Analysis/Data Warehousing requirements. 3. Implement the use cases to demonstrate the most frequently used transformations and components. This also covers interacting with various types of source or target platform like Flat files (CSV, Fixed width), XML, Excel, Database. 4. 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. 5. Know that learning and expertise in TOS for DI is your best logical decision in taking the next big leap into Big Data world which will no longer be an alien terminology for you. 6. Access and work with Hadoop using talend. How to play smart in Big Data environment (Hadoop). How to build use cases in HDFS, Pig and Hive (the most demanded and futuristic skills).

Course Curriculum:

1Role 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.

2Talend: 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.

Frequently Asked Questions:

How soon after Signing up would I get access to the Learning Content?

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24×7 support team will be granted instantly as well. You can start learning right away.

What if I have queries after I complete this course?

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

What if I miss a class?

You will never lose any lecture. You can choose either of the two options:
1. View the recorded session of the class available in your LMS.
2. You can attend the missed session, in any other live batch.

Who is the Instructor?

Sagar has 10 years of Experience as Big Data Architect with a strong background in distributed file systems. He has worked with complex processing needs of big data and is experienced in designing enterprise applications using java, hadoop, spark and non relational databases like MongoDB. He has strong technical skills in Angular JS, EXTJS, Google Visuals and XML.