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Datastage online training - call us +919000444287


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Datastage online training - call us +919000444287

  1. 1. 91 - 9000444287 Data Stage Online Training Click Here For Enquiry Data Warehouse Fundamentals An introduction to Data Warehousing Purpose of Data Warehouse Data Warehouse Architecture Operational Data Store OLTP Vs Warehouse Applications Data Marts Data marts Vs Data Warehouses Data Warehouse Life cycle Data Modeling Company News ADOBE LIVE CYCLE Home About Us Training Development US Staffing Support Services Careers Sitemap Contact Us
  2. 2. Introduction to Data Modeling Entity Relationship model (E-R model) Data Modeling for Data Warehouse Dimensions and fact tables Star Schema and Snowflake Schemas ETL Design Process Introduction to Extraction, Transformation & Loading Types of ETL Tools Key tools in the market Data Stage Installation Data stage Installation Prerequisites to install Data stage Installation process Introduction to Data stage Version 8.1 Data stage introduction IBM information Server architecture Data Stage component Data Stage main functions Client components Data stage Administrator Data stage project Administration - Editing projects and Adding Projects Deleting projects Cleansing up project files
  3. 3. Global variable setting – Environment management Auto purging – Runtimes Column Propagation (RCP) Add checkpoints for sequencer – NLS configuration Generated OSH (Orchestra Engine) – System formats like data, Timestamp – Project protect – Version details. Data stage Director Introduction to Data stage Director – Validating Data stage Jobs Executing Data stage jobs – Job execution status Monitoring a job – Job log view – job scheduling Creating Batches – Scheduling batches Data stage Designer Introduction to Data stage Designer – Importance of Parallelism Pipeline Parallelism – Partition Parallelism Partitioning and collecting - Partition techniques Data stage Repository Palette – Passive and Active stages Job design overview – Designer work area Annotations – Creating jobs – Importing flat file definitions Dataset Overview Working with Parallel Job Stages Database Stages Oracle – Teradata – ODBC – dynamic RDBMS File Stages Sequential file – Dataset – File set – Lookup file set Processing Stages
  4. 4. Copy – Filter – Funnel – Sort Remove duplicate Aggregator – Modify – Compress – Expand – Decode Encode – Switch – Pivot stage – Lookup Join – Merge – difference between look up, Join and merge – change capture – Change apply Compare – Difference – Surrogate key generator Transformer Debug Stages Head – Tail – Peek – Column generator Row generator Real Time Stages XML input – XML output, Java packs, Web service packs Local and Shared containers Advanced Stages in Parallel Jobs (Version 8.1) Range Look process – Surrogate key generator stage Slowly changing dimension stage – away stage FTP stage – Java plug in – Job performance analysis Resource estimation Slowly Changing Dimensions implementation Performance tuning Job Sequencers Arrange job activities in Sequencer
  5. 5. Triggers in Sequencer – Restablity Recoverability – Notification activity Terminator activity Wait for file activity Start Look activity Execute Command activity – Nested Condition activity Exception handling activity – User Variable activity End Loop activity – Adding Checkpoints Us Staffing Corporate Training Web Development Software Development Remote DBA Support Search Engine Optimization What we do Talend Hyperion IBM Unica Siteminder SharePoint Informatica SalesForce Training Facebook Twitter Linkedin Google + Flickr Rss Feed Follow Us Address :37-12-14,Plot no- 27,NGGO's colony,Visakhapatnam- 07 Branch : Ground Floor,8-3- 214/3/A,S.R Nagar - 500038,Hyderabad Email : Mobile : +91-40-65890128 Contact Us © 2013. All rights reserved. | ISO 9001:2008 - ISO/IEC :20000:1:2011 Certified Company.