Online DataStage Training
Online informatica training also offers online Datastage
Training, Datastage is the most well-knownETL tool from IBM. Having the
plenty of opportunities in the market, online informatica training
provides Online Datastage Training by real time industry experts. Online
Datastage Training also advises them quality and guidelines to improve
the fluency. Online Datastage Training trainers are certified having the
expertise in teaching. We offer training Weekday and weekend batches
for Online Datastage Training.
Data Stage Course Content Duration: 40 Hrs
Data Stage Course Content Duration: 40 Hrs
- Introduction of Data warehousing
- purpose of Data warehouse
- Data ware Architecture
- OLTP Vs Data warehouse Applications
- Data Marts
- Data warehouse Lifecycle
- SDLC
- DATA MODELING
- Introduction of Data Modelling
- Entity Relationship Model
- Dimensions and Fast Tables
- Logical Modeling
- Physical Modeling
- Schemas Like Star Schema & Snowflake Schemas
- Fact less Fact Tables
- PROCESS OF ETL (EXTRACTION, TRANSACTION @LOAD)
- Introduction of Extraction , Transformation and Loading
- Types of ETL tools
- Key tools in the market
- INSTALLATION PROCESS
- Windows server
- Oracle
- .NET
- Datastage 7.5X2 & 8x
- DIFFERENCE BETWEEN Server jobs & Parallel jobs
- COMPONENTS IN DATASTAGE
- Administrator client
- Designer client
- Director client
- Import/Export Manager
- Console for IBM Information server
- Webconsole for IBM information server
- 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
- 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
- PARALLEL PALETTE
- DATABASES STAGES
- Oracle Database
- Dynamic RDBMS
- ODBC
- SQL Server
- Teradata
- PARALLEL PALETTE
- 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
- Merge
- Change Capture
- Change Apply
- Compare
- Difference
- Funnel
- Remove Duplicate
- Surrogate Key Generator
- Pivot stage
- Transformer
- CONTANERS
- Shared Containers
- Local Containers
- DS-DIRECTOR
- About DS Director
- Validation
- Scheduling
- Status
- View logs
- Monitoring
- Suppress and Demote the Warnings
- Peek view
- DATASTAGE ADMINISTRATOR
- Create Project
- Delete Project
- Protect Project
- Environmental variables
- Auto purge
- RCP
- OSH
- Commands Execute
- Multiple Instances
- Job Sequence Settings
- 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
- 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 DASHBORAD 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
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