DataStage Online Training
 

Datastage 8.7 training:

Datastage training can justify the ideas of DataStage Enterprise Edition, its design and the way to use this to ‘real life’ situations in an exceedingly business case-study during which you may solve business issues.

Datastage online training begin by viewing the massive image and discuss why businesses need ETL tools and where Datastage fits within the product set.

Once we’ve talked concerning the terribly basic design of DataStage training, using the DataStage clients, you may log onto the DataStage server, produce a Project, import Meta knowledge, and make a DataStage Job. You may then compile and run the duty and appearance at the logs. Once collateral that your Job can run on one node in associate SMP environment, you may then put associated partition the information to be ready to run on multiple nodes at the same time in an MPP, Cluster, or maybe a Grid atmosphere.

 

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STEP-1 DATA WAREHOUSE FUNDAMENTALS

  • An Introduction of Data warehousing
  • purpose of Data warehouse
  • Data ware Architecture
  • OLTP Vs Data warehouse Applications
  • Data Marts
  • Data warehouse Lifecycle
  • SDLC

STEP-2 DATA MODELING

  • Introduction of Data Modeling
  • Entity Relationship Model
  • Dimensions and Fast Tables
  • Logical Modeling
  • Physical Modeling
  • Schemas Like Star Schema & Snowflake Schemas
  • Fact less Fact Tables

STEP-3 PROCESS OF ETL (EXTRACTION, TRANSACTION @LOAD)

  • Introduction of Extraction , Transformation and Loding
  • Types of ETL tools
  • Key tools in the market

STEP-4 INSTALLATION PROCESS

  • Windows server
  • Oracle
  • .NET
  • Datastage 7.5X2 & 8x

STEP-5 DIFFERENCE

  • Server jobs & Parallel jobs

STEP-6 COMPONENTS IN DATASTAGE

  • Administrator clint
  • Designer client
  • Director client
  • Import/export manager
  • Multi client manager
  • Console for IBM imformation server
  • Web console for IBM imformation server

STEP-7 INTRODUCTION TO IBM WEB SPHERE DATASTAGE AND QUALITY STAGE 8X

  • Datastage Introduction
  • IBM Information server Architecture
  • IBM Data Quality Architecture
  • Enterprise Information Integration
  • Web Sphere DataStage Components

STEP-8 DATASTAGE DESIGNER

  • About Web Sphere DataStage Designer
  • Partitioning Methods
  • Partitioning Techniques
  • Designer Canvas
  • Central Storage
  • Job Designing
  • Creating the Jobs
  • Compiling and Run the Jobs
  • Exporting and importing the jobs
  • Parameter passing
  • System(SMP) & Cluster system(MPP)
  • Importing Method(Flat file, Txt, Xls and Database files)
  • OSH Importing Method
  • Configuration file

STEP-9 PARALLEL PALETTE

  • DATABASES STAGES
    • Oracle Database
    • Dynamic RDBMS
    • ODBC
    • SQL Server
    • Teradata
  • FILE STAGES
    • Sequential File
    • Dataset
    • Lookup File set
  • DEV/DEBUG STAGES
    • Peek
    • Head
    • Tail
    • Row Generator
    • Column Generator
  • PROCESSING STAGES
    • Slowly changing dimension stage
    • Slowly changing dimensions implementation
    • Aggregator
    • Copy
    • Compress
    • Expand
    • Filter
    • Modify
    • Sort
    • Switch
    • Lookup
    • Join
    • Marge
    • Change Capture
    • Change Apply
    • Compare
    • Difference
    • Funnel
    • Remove Duplicate
    • Surrogate Key Generator
    • Pivot stage
    • Transformer

CONTANERS

  • Shared Containers
  • Local Containers

STEP-10 DS-DIRECTOR

  • About DS Director
  • Validation
  • Scheduling
  • Status
  • View logs
  • Monitoring
  • Suppress and Demote the Warnings
  • Peek view

STEP-11 DATASTAGE ADMINISTRATOR

  • Create Project
  • Delete Project
  • Protect Project
  • Environmental variables
  • Auto purge
  • RCP
  • OSH
  • Commands Execute
  • Multiple Instances
  • Job Sequence Settings

STEP-12 JOB SEQUENCE AREA

  • Job Activity
  • Job sequencer
  • Start loop Activity
  • End loop Activity
  • Notification Activity
  • Terminator Activity
  • Nested Condition Activity
  • Exception handling Activity
  • Execute Command Activity
  • Wait for file Activity
  • User variable Activity
  • Adding Check Points
  • Restartable

STEP-13 IBM WEB SPHERE QUALITY STAGE

  • Data Quality
  • Data Quality Stages
  • Investigate Stage
  • Standardize Stage
  • Match Frequency Stage
  • Reference Match Stage
  • Unduplicated Match Stage
  • Survive Stage
  • Viewing audit details in operational DASHBOARD reports

KEY SERVICE

  • FAQS
  • Covering DBA concepts
  • Concentration on performance tuning
  • Real time scenarios
  • Certification guidance
  • Resume preparation
  • Sample resumes
  • Interview & certification FAQS
  • How to face the interview
  • Class notes which is useful for who is trying for job
  • Project preparation
 

Highlights of DataStage Online Training:

  • By the end of this training you will have an understanding of DataStage language, the way to produce an easy DataStage Job, an summary of DataStage design, and a solid understanding of how DataStage compares to competitive ETL tools.
  • Create a DataStage Job which will be used once more and once more within the future to extract from and load to totally different sources and targets while not dynamic its style
  • Describe the ways in which DataStage provides higher performance, quantifiability, and adaptability when put next to alternative ETL tools
  • Discuss the design of DataStage Enterprise Edition. Solve a case-study business drawback victimization DataStage engineering
  • Create a world variable that allows DataStage to purpose to totally different configuration files at runtime in order that your Job can run on SMP, MPP, Cluster, or Grid environments
  • Create native variables that kind your information and supply the constraints that support business choices to load it into a range of targets