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DataStage Course Content:
Introduction to DATASTAGE
What is datastage?
Difference between server jobs and parallel jobs
Difference between pipeline parallelism and partition parallelism
Partition techniques (round robin, random, hash, entire, same, modules, range, DB2, auto)
Collecting Techniques (Auto, sortmerge, ordered)
Configuration file
Difference between SMP/MPP architecture
Data stage components (server components/client components)
Package installer
DATASTAGE ADMINISTRATOR
Create Project
Delete Project
Protect Project
Environmental variables
Auto purge
RCP
OSH
Commands Execute
Multiple Instances
Job Sequence Settings
Data stage director:
Introduction to data stage director
Job status view
View logs
Scheduling
Batches creation
Data stage 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)
OSHImporting Method
Configuration file
Processing stage:
Aggregator
Change apply
Change capture
Compare
Compress
Copy
Decode
Difference
Encode
Expand
External filter
Filter
FTP
Funnel
Generic
Join
Lookup
Merge
Difference between join/lookup
Difference between join/lookup/merge
Modify
Pivot
Remove duplicates
Slowly changing dimension
Sort
Surrogate key generator
Switch
Transformer
Websphere TX Map
Transformer stage
Surrogate generator stage
Join generator stage
Merge generator stage
Look up generator stage
Debugging stage
Head
Tail
Peak
Row generator
Column generator
Sample
Job parameters
PARAMETER SETS
SLOWLY CHAMGING DIMENSIONS
Sequencer
Importing the job
Exporting the job
Importing table definition
Importing flat file definition
Containers
Difference between local container and shared container
Local container
Shared container
STUDENT REGISTRATION
FACULTY REGISTRATION
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