Datastage

Datastage

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₹100.00
Product Code: etl
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DATASTAGE 9.1 TRAINING COURSE CONTENT:

DATA WAREHOUSE BASICS

  • An introduction to Data Warehousing
  • Purpose of Data Warehouse
  • Data Warehouse Architecture
  • Operational Data Store
  • OLTP Vs Warehouse Applications
  • Data Marts
  • Data marts Vs Data Warehouses
  • Data Warehouse Life cycle

DATA MODELING

  • Introduction to Data Modeling
  • Entity Relationship model (E-R model)
  • Data Modeling for Data Warehouse
  • Normalization process
  • Dimensions and fact tables
  • Star Schema and Snowflake Schemas

ETL DESIGN PROCESS

  • Introduction to Extraction
  • Transformation & Loading
  • Types of ETL Tools
  • Key tools in the market

DATA STAGE ADMINISTRATOR

  • Datastage Training project Administration
  • Editing projects and Adding Projects
  • Deleting projects Cleansing up project files
  • Environmental Variables
  • Environment management
  • Auto purging
  • Runtime Column Propagation(RCP)
  • Add checkpoints for sequencer
  • NLS configuration
  • Generated OSH (Orchestra Engine)
  • System formats like data
  • timestamp
  • Projects protect – Version details

DATA STAGE DIRECTOR

  • Introduction to Data stage Director
  • Validating Data stage Jobs
  • Executing Data stage jobs
  • Job execution status
  • Monitoring a job, Job log view
  • Job scheduling
  • Creating Batches
  • Scheduling batches

DATA STAGE DESIGNER

  • Introduction to Datastage Training Designer
  • Importance of Parallelism
  • Pipeline Parallelism
  • Partition Parallelism
  • Partitioning and collecting(In depth coverage of partitioning and collective techniques)
  • Symmetric Multi Processing (SMP)and Massively Parallel Processing (MPP)
  • Introduction to Configuration file
  • Editing a Configuration file
  • Partition techniques
  • Data stage Repository Palette
  • Passive and Active stages
  • Job design overview
  • Designer work area
  • Annotations and Creating jobs and Importing flat file definitions
  • Managing the Metadata environment
  • Dataset management
  • Deletion of Dataset
  • Routine

WORKING WITH PARALLEL JOB STAGES

§  Database Stages, Oracle, ODBC, Dynamic RDBMS

§  File Stages, Sequential file, Dataset

§  File set, Lookup file set

§  Processing Stages, Copy, Filter, Funnel

§  Sort, Remove duplicate, Aggregator, Switch

§  Pivot stage, Lookup, Join, Merge

§  Difference between look up, join and merge

§  Change capture, External Filter, Surrogate key generator

§  Transformer, Real time scenarios using different Processing Stages – Implementing different logics using Transformer

§  Debug Stages, Head, Tail, Peek

§  Column generator, Row generator

§  Write Range Map Stage, Real Time Stages, XML input

§  XML output, Local and Shared containers

§  Routines creation, Extensive usage of Job parameters

§  Parameter Sets, Environmental variables in jobs

§  Introduction to predefined Environmental variables creating user defined Environmental variables

§  Implementing the same in parallel jobs

ADVANCED STAGES IN PARALLEL JOBS

§  Explanation of Type1 and Type 2 processes

§  Implementation of Type1 and Type2 logics using Change Capture stage and SCD Stage

§  Range Look process

§  Surrogate key generator stage

§  FTP stage

§  Job performance analysis

§  Resource estimation

§  Performance tuning

JOB SEQUENCERS

§  Arrange job activities in Sequencer

§  Triggers in Sequencer

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