Datastage
Course
In Hyderabad
₹ 1
VAT incl.
![BigClasses](https://www.emagister.in/assets/in/logos/centro/id/84942/size/l.jpg)
Description
-
Type
Course
-
Location
Hyderabad
-
Class hours
40h
Facilities
Location
Start date
Hyderabad
(Andhra Pradesh)
See map
516,Annapurna Block, AdityaEnclave, Ameerpet, Hyderabad-500026, 500026
Start date
On request
Reviews
Have you taken this course?
Course programme
DATAWAREHOUSING CONCEPTS
Introduction to Data Warehousing
What is Data Warehousing?
Who needs Data Warehousing?
Why Data Warehouse is required?
Types of Systems
OLTP
OLAP
Maintenance of Data Warehouse
Data Warehousing Life Cycle
Data Warehousing Architecture
Source
Integration Layer
Staging Area
Target
Analysis & Reporting
ODS
Multi-Dimensional Modeling
What is dimension modeling?
Difference between ER modeling and dimension modeling
What is a Dimension?
What is a Fact?
Start Schema
Snow Flake Schema
Difference between Star and snow flake schema
Fact Table
Different types of facts
Dimensional Tables
Fact less Fact Table
Confirmed Dimensions
Unconfirmed Dimensions
Junk Dimensions
Monster Dimensions
Degenerative Dimensions
What are slowly changing Dimensions?
Different types of SCD’s
IBMWEBSPHERE DATA STAGE AND QUALITY STAGE VERSION 8.0.1
Contents
Introduction about Data Stage
Difference between Data Stage 7.5.2 and 8.0.1
What’s new in Data Stage 8.0.1?
What is way ahead in Data Stage?
IBM Information Sever architecture
Datastage within the IBM Information Server architecture
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
Configuration File
Difference between SMP/PMP(Cluster) Architecture
Data stage omponents (Server components /Client components)
Designer
Introduction about Designer
Repository
Palette
Type of Links
File Stages
Sequential file
Dataset file
File set
Lookup file set
Difference between Sequential file/Dataset/File set
Overview of iWay, Classic federation and netezza
Database Stages
Dynamic RDBMS
Oracle Enterprise
ODBC Enterprise
Stored Procedure
Processing Stages
Change Capture
Compare Stage
Difference Stage
Aggregate Stage
Transformer Stage
Difference between basic transformer and transformer
Surrogate Generator Stage
Join Stage
Merge Stage
Lookup Stage
Difference between Join/Lookup/Merge
Difference between Join/Lookup
Remove Duplicates
Switch
Pivot
Modify
Funnel
Generic stage
Different types of sorting and sort stage.
Different types of combining and collecting techniques.
Filter
External filter
Difference between filter, External filter and switch stages.
SCD stage
Encode and decode stages
FTP stage
Adding job parameters to a job
Parameter set
Difference between partitioning and re partitioning
Run time column propagation
Schema files
Debugging Stage
Head
Tail
Pea
Row Generator
Column Generator
Sample
Containers
Difference between Local Container and Shared Container
Local Container
Shared Container
Job Sequencers
Arrange job activities in sequencer
Triggers in Sequencer
Notification activity
Terminator Activity
Wait for file activity
Start loop activity
Execute command activity
Nested Condition activity
Routine activity
Exception handing activity
User variable activity
End loop activity
Adding Checkpoints
Data stage Director
Introduction to Data stage Director
Job Status View
View logs
Scheduling
Batches Creation
Cleaning resources using Administrator
Web sphere Manager in Designer
Introduction about Data stage Manager
Importing the Job
Exporting the Job
Importing Table Definition
Different types of table definitions and their differences.
Importing Flat File Definition
Routines
Dataset management and ORCHADMIN
Quick search and Advanced search
Data stage Administrator
Creating project, Editing project and Deleting project
Permissions to user
Different kinds of variables in Data Stage
Cleaning resources using Administrator
Web sphere Quality Stage
What is Date Quality and why do we for data quality?
Integration of Data Quality in Data Stage?
Data stage Quality stages
Investigate stage
Standardize stage Match Frequency stage
Unduplicate Match stage
Reference Match stage
Survive stage
Standardized rule sets.
Components of Standardized rule sets.
Match designer
WAVES
Datastage
₹ 1
VAT incl.