DataStage Online Training
50 Hours
24/7 Digital Library Access
2765 Total Learners
Lifetime Access
Instructor-led Online Training
Interactive Live training
Real Time, Certified, Expert Trainers
Job oriented & Industry ready curriculum
Free Course Access for 365 Days
Fast-track / Regular / Weekend
Recorded Video Online Training
Learn at your own convenience
Certified & Industry Experts Trainers
Email & Forum support for 365 days
Priority Certification support
Multi Instructor sessions
Learn DataStage Online Training
What is DataStage Online 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.
Who can learn?
Content will be available soon…
DataStage Course Curriculum
Duration: 50 Hours
- 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
- 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
- Introduction of Extraction, Transformation and Loading
- Types of ETL tools
- Key tools in the market
- Windows server
- Oracle
- .NET
- Data stage 7.5X2 & 8x
- Server jobs & Parallel jobs
- Administrator client
- Designer client
- Director client
- Import/export manager
- Multi-client manager
- Console for IBM information server
- Web console for IBM information server
- DataStage Introduction
- IBM Information server Architecture
- IBM Data Quality Architecture
- Enterprise Information Integration
- Web Sphere DataStage Components
- 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
- 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
- Containers
- Shared Containers
- Local Containers
- About DS Director
- Validation
- Scheduling
- Status
- View logs
- Monitoring
- Suppress and Demote the Warnings
- Peek view
- Create Project
- Delete Project
- Protect Project
- Environmental variables
- Auto purge
- RCP
- OSH
- Commands Execute
- Multiple Instances
- Job Sequence Settings
- 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
- Restart able
- 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
Trainer Information
- Trainer has 9 years of IT & DataStage Experience.
- Experienced in Finance, HealthCare, Life Science domains.
- 3+ Years of experience as Trainer in DataStage.
- Overall 100+ Batches.
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