Talend Big Data Training

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Talend Big Data Training


 (4.9) | 450 Ratings


Introduction


Talend Big Data Training Details
Track Regular Track Weekend Track Fast Track
Course Duration 30 Hrs 8 Weekends 5 Days
Hours 1hr/day 2 Hours a day 6 Hours a day
Training Mode Online Classroom Online Classroom Online Classroom
Delivery Instructor Led-Live Instructor Led-Live Instructor Led-Live


Course Curriculum

Module 1 : Introduction to Talend

Topics : Overview of talend and how it works, Talend open studio and its usefulness, Meta data

Module 2 : Jobs

Topics : Creation of a new job, Create delimited file and its process, meta data use , concept of propagation, data integration schema, Use t filter row and string filter, Input delimitation file creation

Module 3 : Schema and Aggregation

Topics : Job design and its features, T map, aggregation of data, triplicate, tlog, T map properties

Module 4 : DataSource Connectivity

Topics :  Data extracted from source, Database source and Target (Mysql), create connection, Import/create schema or metadata

Module 5 : Function/Routines

Topics : Calling functions and its implementation, routines, XML file and its use in talend, Use format data functions, and type casting.

Module 6 : Transformation

Topics : Context variable, Parameterization in ETL, trow generator, sorting, aggregator, Publish data using t flow, running job in a loop

Module 7 : Hadoop Connectivity

Topics : start Trish Server, ETL tool connect to Hadoop, ETL method, implementation of Hive, import data into hive, partition in hive, ETL components,  Comparison b/w Hive and Pig, Loading data into the demo customer, ETL tool, Parallel execution

Talend Big Data Project

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Course Curriculum

Module 1 : Introduction to Talend

Topics : Overview of talend and how it works, Talend open studio and its usefulness, Meta data

Module 2 : Jobs

Topics : Creation of a new job, Create delimited file and its process, meta data use , concept of propagation, data integration schema, Use t filter row and string filter, Input delimitation file creation

Module 3 : Schema and Aggregation

Topics : Job design and its features, T map, aggregation of data, triplicate, tlog, T map properties

Module 4 : DataSource Connectivity

Topics :  Data extracted from source, Database source and Target (Mysql), create connection, Import/create schema or metadata

Module 5 : Function/Routines

Topics : Calling functions and its implementation, routines, XML file and its use in talend, Use format data functions, and type casting.

Module 6 : Transformation

Topics : Context variable, Parameterization in ETL, trow generator, sorting, aggregator, Publish data using t flow, running job in a loop

Module 7 : Hadoop Connectivity

Topics : start Trish Server, ETL tool connect to Hadoop, ETL method, implementation of Hive, import data into hive, partition in hive, ETL components,  Comparison b/w Hive and Pig, Loading data into the demo customer, ETL tool, Parallel execution

Talend Big Data Project

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