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Talend Certification Training Course

Intellipaat

Course Summary

Talend training by Intellipaat will help you master data integration using Talend open studio. This online Talend ETL tool course will cover in depth concepts of data transformation, data extraction, connectivity with Hadoop and eco-system like MapReduce, Hive, Pig, and HDFS. You will work on real life projects and prepare yourself for Talend Data Integration Certified Developer Exam.


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    Course Syllabus

    Talend Course Content

    Data Modeling Concepts
    Understanding the basics of Data Modeling, its significance and how to deploy Data Modeling in Data Warehouse environment.
    Deep Dive into Data Modeling
    The various types of Data Modeling, learning to perform Conceptual Data Modeling, Physical Data Modeling, Logical Data Modeling, understanding the scope and benefits of Data Modeling.
    Multidimensional Data Modeling
    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.
    Introduction to Talend
    The Talend Open Source data integration tool, working with Big Data, understanding the Talend Open Studio.
    Talend Installation
    Understanding the installation of Talend, system requirements, troubleshooting of common errors and issues related to installation.
    Talend Key Features
    Learning about the Talend Architecture, important concepts and features, Talend components like Job, Workspace, Metadata, Project, etc.
    Talend Job Creation
    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.
    Data Management Techniques
    Deploying Talend Open Studio for Data Management, data quality, integration, understanding the ETL and Data Warehousing concepts.
    Schema & Data Aggregation
    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.
    DataSource Connection
    Working with DataSource Connection, deploying in database component, creating a connection, database source and target, metadata and schema importing.
    Talend Routines/Functions
    Introduction to Talend Functions, calling and deploying the Functions, understanding Routines, Talend Open Studio for XML data processing, date format function.
    Data Transformation
    Transforming Data, Running the Job, Combining Columns, Duplicating a Job
    Working with Metadata
    Creating Metadata, Joining Data Sources.
    Data Corrections
    Capturing Rejects, Correcting the Lookup, Duplicating a Job
    Data Filtering
    Filtering Output Data, Using Multiple Filters.
    Context Variables
    Using Context Variables from Talend Job, Repository as Metadata.
    Graphical Interface of Talend
    Building Jobs, Graphical Jobs, Graphical Interface Of Talend, Talend’s Components Naming Convention
    Trigger
    Row – Main Connection, Row – Iterate Connection, Trigger – On sub Job ok Connection, Trigger – On Component OK Connection
    File Management
    File Management in Talend
    Connecting Talend with Hadoop
    Deploying Talend to work with Hadoop, defining the ETL method, Hive implementation with Talend, importing data in Hive, Hive partitioning, Pig in Talend, data loading and parallel data execution.
    Talend Project
    Project – Creating Jobs using Metadata and using transformation stepsTopics – This project is involved with deploying metadata for creating a Talend job. Some of the steps involved are building various files like delimited, XML, and Excel, coming up with a database connection, deploying metadata, data integration schema, learning about propagation, working with tFilterRow for filtering rows on certain conditions on columns, creation of CSV files, and designing a Talend job.

Course Fee:
USD 150

Course Type:

 Self-Study

Course Status:

 Active

Workload:

 1 - 4 hours / week

This course is listed under Open Source , Development & Implementations , Data & Information Management and Networks & IT Infrastructure Community

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