The basic Architecture of multidimensional modeling, deploying Cubes to perform multidimensional modeling, understanding the concepts of Facts and Dimensions and the differences between the two.

The Talend Open Source data integration tool, working with Big Data, understanding the Talend Open Studio.

Understanding the installation of Talend, system requirements, troubleshooting of common errors and issues related to installation.

Learning about the Talend Architecture, important concepts and features, Talend components like Job, Workspace, Metadata, Project, etc.

Learning to create a Talend Job, working with Delimited file, working with Meta Data, schema for data integration, understanding Propagation, deploying of tFilterRow and string filter for creating Jobs, creation of CSV file.

Deploying Talend Open Studio for Data Management, data quality, integration, understanding the ETL and Data Warehousing concepts.

Detailed understanding of Talend Job design, it features, learning about tMap, data aggregation techniques, tReplicate for performing different operations on a Schema, tMap for mapping input and output data.

Working with DataSource Connection, deploying in database component, creating a connection, database source and target, metadata and schema importing.

Introduction to Talend Functions, calling and deploying the Functions, understanding Routines, Talend Open Studio for XML data processing, date format function.

Transforming Data, Running the Job, Combining Columns, Duplicating a Job

Creating Metadata, Joining Data Sources.

Capturing Rejects, Correcting the Lookup, Duplicating a Job

Filtering Output Data, Using Multiple Filters.

Using Context Variables from Talend Job, Repository as Metadata.

Building Jobs, Graphical Jobs, Graphical Interface Of Talend, Talend’s Components Naming Convention

Row – Main Connection, Row – Iterate Connection, Trigger – On sub Job ok Connection, Trigger – On Component OK Connection