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.
datastage Course Modules
DATA WAREHOUSE FUNDAMENTALS
- An Introduction of Data warehousing
- purpose of Data warehouse
|
- OLTP Vs Data warehouse Applications
- Data Marts
|
- Data warehouse Lifecycle
- SDLC
- Data ware Architecture
|
|
DATA MODELING
- Introduction of Data Modeling
- Entity Relationship Model
- Dimensions and Fast Tables
|
- Logical Modeling
- Physical Modeling
- Fact less Fact Tables
|
- Schemas Like Star Schema & Snowflake Schemas
|
|
PROCESS OF ETL (EXTRACTION, TRANSACTION @LOAD)
- Introduction of Extraction
- Transformation and Loding
|
|
|
|
INSTALLATION PROCESS
|
COMPONENTS IN DATASTAGE
- Administrator clint
- Designer client
- Web console for IBM imformation server
|
- Import/export manager
- Multi client manager
|
- Director client
- Console for IBM imformation server
|
|
INTRODUCTION TO IBM WEB SPHERE DATASTAGE AND QUALITY STAGE 8X
- Datastage Introduction
- IBM Information server Architecture
|
- Enterprise Information Integration
- IBM Data Quality Architecture
|
- 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
- Configuration file
|
- System(SMP) & Cluster system(MPP)
- Importing Method(Flat file, Txt, Xls and Database files)
- OSH Importing Method
|
|
PARALLEL PALETTE
- Oracle Database
- Dynamic RDBMS
|
|
|
|
FILE STAGES
|
DEV/DEBUG STAGES
|
PROCESSING STAGES
- Slowly changing dimension stage
- Slowly changing dimensions implementation
- Aggregator
- Copy
- Compress
- Marge
- Change Capture
|
- Expand
- Filter
- Modify
- Sort
- Switch
- Lookup
- Join
- Transformer
|
- Change Apply
- Compare
- Difference
- Funnel
- Remove Duplicate
- Surrogate Key Generator
- Pivot stage
|
|
DS-DIRECTOR
- About DS Director
- Validation
- Scheduling
|
- View logs
- Monitoring
- Suppress and Demote the Warnings
|
|
|
DATASTAGE ADMINISTRATOR
- Create Project
- Delete Project
- Protect Project
- Environmental variables
|
|
- 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
|
|
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
|
|