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Data stage 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
• Data stage 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 Derector
• 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 Data stage Designer
• Importance of Parallelism
• Pipeline Parallelism
• Partition Parallelism
• Partitioning and collecting(In depth coverage of partitioning and collective techniques)
• Symmetric Multi Processing (SMP)
• 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
• Creating jobs
• Importing flat file definitions
• Managing the Metadata environment
• Dataset management
• Deletion of Dataset
• Routines
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 and
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
• Restablity
• Recoverability
• Notification activity
• Terminator activity
• Wait for file activity
• Start Loop activity
• Execute Command activity
• Nested Condition activity
• Exception handling activity
• End Loop activity
• Adding Checkpoints
• Jobs used in different real time scenarios.
• Explanation of Sequence Job stages through different Jobs
IBM information server administration guide
• IBM Web Sphere Data stage administration
• Opening the IBM Information Server Web console -
• Setting up a project ion the console
• Customizing the project dashboard
• Setting up security
• Creating users in the console
• Assigning security roles to users and groups
• Managing licenses
• Managing active sessions
• Managing logs
• Managing schedules
• Backing up and restoring IBM Information Server.
• Additional Features
• Performance Tuning of Parallel Jobs.
• Data stage Installation process and setup.
• Project Explanation

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Best Data stage online training institute

  • 1. Data stage 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
  • 2. • Data stage 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 Derector • 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
  • 3. • Scheduling batches. Data stage Designer • Introduction to Data stage Designer • Importance of Parallelism • Pipeline Parallelism • Partition Parallelism • Partitioning and collecting(In depth coverage of partitioning and collective techniques) • Symmetric Multi Processing (SMP) • 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 • Creating jobs • Importing flat file definitions • Managing the Metadata environment • Dataset management
  • 4. • Deletion of Dataset • Routines 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
  • 5. • 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
  • 6. • Routines creation • Extensive usage of Job parameters, Parameter Sets, Environmental variables in jobs • Introduction to predefined Environmental variables creating user defined Environmental variables and 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 • Restablity • Recoverability • Notification activity • Terminator activity • Wait for file activity
  • 7. • Start Loop activity • Execute Command activity • Nested Condition activity • Exception handling activity • End Loop activity • Adding Checkpoints • Jobs used in different real time scenarios. • Explanation of Sequence Job stages through different Jobs IBM information server administration guide • IBM Web Sphere Data stage administration • Opening the IBM Information Server Web console - • Setting up a project ion the console • Customizing the project dashboard • Setting up security • Creating users in the console • Assigning security roles to users and groups • Managing licenses • Managing active sessions • Managing logs • Managing schedules • Backing up and restoring IBM Information Server.
  • 8. • Additional Features • Performance Tuning of Parallel Jobs. • Data stage Installation process and setup. • Project Explanation