Data stage Online Training and Certification
Course| Online Data stage Training in USA,
Uk, Canada, Austlia, Dubai, France, India
DATASTAGE
 IBM InfoSphere DataStage is an ETL tool and part of
the IBM Information Platforms Solutions suite and
IBM InfoSphere. It uses a graphical notation to
construct data integration solutions and is available in
various versions such as the Server Edition, the
Enterprise Edition, and the MVS Edition.
DATASTAGE
Course
Content
DATA WAREHOUSE
FUNDAMENTALS
 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
INTRODUCTION TO DATA STAGE
VERSION 7.5X2 & 8.1& 8.5
 Data stage introduction
 IBM information Server architecture
 Data stage components
 Data Stage main functions
 Client components- Adding different Servers to our
workspace.
DATA STAGE ADMINISTRATO
 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 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 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
WORKING WITH PARALLEL JOB
STAGES
 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 (VERSION 8.1)
 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.
Contact Us:
 A1Trainings
 Madhapur, Hyderabad
 500082
 Email: contact@a1trainings.com
 Call us: 7680813158

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Online Datastage training

  • 1. Data stage Online Training and Certification Course| Online Data stage Training in USA, Uk, Canada, Austlia, Dubai, France, India
  • 2. DATASTAGE  IBM InfoSphere DataStage is an ETL tool and part of the IBM Information Platforms Solutions suite and IBM InfoSphere. It uses a graphical notation to construct data integration solutions and is available in various versions such as the Server Edition, the Enterprise Edition, and the MVS Edition.
  • 4. DATA WAREHOUSE FUNDAMENTALS  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.
  • 5. 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
  • 6. ETL DESIGN PROCESS  Introduction to Extraction, Transformation & Loading  Types of ETL Tools  Key tools in the market
  • 7. INTRODUCTION TO DATA STAGE VERSION 7.5X2 & 8.1& 8.5  Data stage introduction  IBM information Server architecture  Data stage components  Data Stage main functions  Client components- Adding different Servers to our workspace.
  • 8. DATA STAGE ADMINISTRATO  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.
  • 9. 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.
  • 10. 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
  • 11. 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
  • 12. WORKING WITH PARALLEL JOB STAGES  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
  • 13. ADVANCED STAGES IN PARALLEL JOBS (VERSION 8.1)  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
  • 14. 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
  • 15. 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.
  • 16. Contact Us:  A1Trainings  Madhapur, Hyderabad  500082  Email: contact@a1trainings.com  Call us: 7680813158