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Talend Big Data Training in Hyderabad India

Talend Big Data Training in Hyderabad India

Talend Big Data Training



Talend Open Studio (TOS) is a wonderful open source Data Integration (DI) tool used to build end-to-end ETL solutions. Talend Big Data course will not only help the beginners to understand the art of data integration but also equip them with Big Data skills. 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).

Duration: 30hrs

Course Content:

Introduction
  • Introduction to Talend big data
  • Why Talend?
  • Talend Editions and Features
  • Talend Data Integration Overview
  • Talend Environment
  • Repository and Pallate
  • Talend Design and Views
Talend Jobs Designing
  • Start Talend Open Studio for Data Integration
  • Create a Talend project to contain tasks
  • Create a Talend Job to perform a specific task
  • Add and configure components to handle data input, data transformation, and data output
  • Run a Talend Job and examine the results
Working with files and databases
  • Process different types of files using Talend
  • Connect to a database from a Talend Job
  • Use a component to create a database table
  • Write to and read from a database table from a Talend Job
  • Write data to an XML file from a Talend Job
  • Write an XML document to a file
  • Use components to create an archive and delete files
  • Assignment
Talend Context Variables
  • Store configuration information centrally for use in multiple components
  • Execute Job sections conditionally
  • Create a schema for use in multiple components
  • Create variables for component configuration parameters
  • Run a Job to access specific values for the variables
Transformations
  • Troubleshoot a join by examining failed lookups
  • Use components to filter data
  • Generate sample data rows
  • Duplicate output flows
Filter unique data rows
  • Perform aggregate calculations on rows
  • Extend data from one source with data extracted from a second source
  • Assignment
Logs & Error Handling
  • Log data rows in the console rather than storing them
  • Employ mechanisms to kill a Job under specific circumstances
  • Include Job elements that change the behavior based on the success or failure of individual components or subjobs
Best Practices & Sample jobs
  • Build a visual model of a Talend Job or project
  • Copy an existing Job as the basis for a new Job
  • Add comments to document a Job and its components
  • Generate HTML documentation for a Job
  • Export a Job
  • Run an exported Job independently of Talend Open Studio
  • Create a new version of an existing Job
  • Assignment
Introduction to Talend Big data platform
  • Environment – Overview
  • Repository and Pallate
  • Design and Views
Operations on HDFS using Talend
  • Connect to a Hadoop cluster from a Talend Job
  • Store a raw Web log file to HDFS
  • Write text data files to HDFS
  • Read text files from HDFS
  • Read data from a SQL database and write it to HDFS
  • List a folder’s contents and operate on each file separately (Iteration)
  • Move, copy, append, delete, and rename HDFS files
  • Read selected file attributes from HDFS files
  • Conditionally operate on HDFS files
Map Reduce Jobs
  • Develop and run MapReduce jobs
  • Convert a standard job into a MapReduce job
  • Create Metadata for your Hadoop cluster connection
  • Configure context variables
  • Retrieve the schema of a file using Talend Wizard
  • Send data to Hadoop HDFS
  • Load multiple files into HDFS
  • Sort and aggregate data using MapReduce components
  • Filter data using MapReduce components
PIG
  • Develop and run Pig Jobs using Talend components
  • Sort, join, and aggregate data using Pig components
  • Filter data in multiple ways using Pig components
  • Replicate Pig data streams
  • Small Project / Case study
Hive
  • Miscellaneous topics
  • Run Talend Jobs with the Apache Oozie Job Manager
  • Check data with Data Viewer
  • Read and write HBase tables
  • Write data to a HTML file
  • Talend Data Quality and MDM Overview
Best Practices & Sample jobs
  • Performance tuning techniques
  • best practices
  • Coding guidelines in
  • Small project – Case study