DATASTAGE REALTIME ONLINE TRAINING,CORPORATE TRAINING,INTERVIEW & JOB SUPPORT BY DATASTAGE EXPERT FACULTY

FOR FREE DEMO contact :
Email : raj@apex-online-it-training.com
Phone/WhatsApp : +91-(850) 012-2107
USA Number : 214-628-3894
Gtalk : raavi.sriraja@gmail.com
Blog: http://apex-it-online-trainings..in

Datastage Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews,Assignments Will be provided

Course Outline (we can customize the course content as per your requirements)

DATASTAGE Course Agenda

DW and ETL Concepts
• DW Overview
• Data Consolidation and Integratiion
• ETL Lifecycle
• Data cleaning and conforming

Information Server components

• • Fast track
• • Metadata workbench
• • Business Glossary
• • Information Analyzer
• • Information Services Director
• • Blueprint Director
• • Deployment tool


Web Console Administration

• Managing users and groups
• Managing user credentials

Datastage Administrator

• Project Administration
• Setting Environment Variables
• Managing Logs
• Enabling RCP
• User Roles and Permissions
• Lab Exercises

Datastage Architecture

• Design time architecture
• Run time architecture
• Partition and pipeline parallelism

Server Jobs

• Server Vs Parallel jobs
• Can I convert Server jobs to Parallel Jobs?
• Architectural differences
• Different stages
• BASIC Programming
• Containers

Datastage Director

• Director User Interface
• Compiling single and multiple jobs
• Validate , Run ,Reset , Restart jobs
• Scheduling Jobs
• Checking logs
• Performance monitor on designer
• Logs for sequence jobs

Importing Metadata

• Sequential file metadata imports
• Schemas
• Direct import from database
• Importing Shared metadata
• Lab Exercises

Handling files

• Sequential filestage
• Complex flat file stage
• File formats
• Managing huge files
• Performance considerations
• Rejecting invlaid data
• Lab Exercises

Parallel Job Stages

• File stages
• Database stages
• Processing stages
• Debug stages
• Sequence job stages
• Pivot stage
• SCD Stage

Handling input data

• Processing file based data
• Handling relational input data
• Processing incremental data
• Staging area
• Lab Exercises


Environment variables

• Understaning the environment variables
• Parallel
• Buffering
• Reporting
• Monitoring
• Database specific





End to end ETL developmenmt task – Case study

Troubleshooting

Performance enhancements
Best Practices

Data quality