DATA STAGE 8.5 ONLINE TRAINING

A lot of tasks in DataStage 8.5 are at least 40% faster than 8.1 such as starting DataStage.Most of today's critical business initiatives cannot succeed without effective integration of information. Initiatives such as single view of the customer, business intelligence, supply chain management, and Basel II and Sarbanes-Oxley compliance require consistent, complete, and trustworthy information.

DATA STAGE 8.5 Online Training Course Content
  • 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 Modelling
    • Introduction to Data Modeling
    • Entity Relationship model (E-R model)
    • Data Modeling for Data Warehouse
    • Normalization process
    • 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
  • Introduction to Data stage Version 7.5x2 & 8.1& 8.5
    • Data stage introduction
    • IBM information Server architecture
    • Data stage components
    • Data Stage main functions
    • Client components
    • Adding different Servers to our workspace
  • Data stage Administrator
    • Data stage project Administration
    • Editing projects and Adding Projects
    • Deleting projects Cleansing up project files
    • Environmental Variables
    • Environment management
    • Auto purging
    • Runtime 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(In depth coverage of partitioning and collective techniques)
    • Symmetric Multi Pro acessing (SMP) Massively Parallel Processing (MPP)
  • Introduction to Configuration file- Editing a Configuration file
    • Partition techniques
    • Data stage Repository Palette
    • Passive and Active stages
    • Job design overview
    • Designer work area
    • Annotations
    • Creating jobs
    • Importing flat file definitions
    • Managing the Metadata environment
    • Dataset management
    • Deletion of Dataset
    • Routines
    • Arguments
  • Working with Parallel Job Stages
    • Database Stages
    • Oracle
    • Teradata
    • ODBC
    • Dynamic RDBMS
  • File Stages
    • Sequential file
    • Dataset
    • File set
    • Lookup file set
  • Processing Stages
    • 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
    • External Filter
    • Surrogate key generator
    • Transformer
  • Debug Stages
    • Head
    • Tail
    • Peek
    • Column generator
    • Row generator
    • Write Range Map Stage
  • Real Time Stages
    • XML input
    • XML output
  • Local and Shared containers
  • Routines creation
    • Extensive usage of Job parameters
    • Parameter Sets
    • Environmental variables in jobs
  • Advanced Stages in Parallel Jobs (Version 8.1)
    • Explanation of Type1 and Type 2 processes
    • Implementation of Type1 and Type2 logics using Change Capture stage and SCD Stage
    • Range Look process
    • Surrogate key generator stage
    • FTP stage
    • Job performance analysis
    • Resource estimation
    • Performance tuning
  • Job Sequencers
    • Arrange job activities in Sequencer
    • Triggers in Sequencer
    • Restablity
    • Recoverability
    • Notification activity
    • Terminator activity
    • Wait for file activity
    • Start Loop activity
    • Execute Command activity
    • Nested Condition activity
    • Exception handling activity
    • User Variable activity
    • End Loop activity – Adding Checkpoints
  • IBM Information Server Administration Guide
    • IBM Web Sphere Data stage administration
    • Opening the IBM Information Server Web console
    • Setting up a project ion the console
    • Customizing the project dashboard
    • Setting up security
    • Creating users in the console
    • Assigning security roles to users and groups
    • Managing licenses
    • Managing active sessions
    • Managing logs
    • Managing schedules
    • Backing up and restoring IBM Information Server
  • Additional Features
    • Data stage Certification Guidance.
    • Performance Tuning of Parallel Jobs.
    • Data stage Installation process and setup.
    • Full Length Class Room Notes Which Covers all the concepts
    • Well Versed Materials Which Covers Data warehousing Basics, Data stage Concepts Unix Commands, Shall Scripts, Databases.
    • Project Explanation.

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