SlideShare a Scribd company logo
1 of 3
Srihitha Technologies
    B7, 3rd Floor, Eureka Court, Beside Image Hospitals, Ameerpet, Hyderabad .
          Ph: 9885144200, 9394799566. www. srihithatechnologies.com

                                        Datastage

Duration: 30hrs

Unit -1: Data Warehouse Fundamentals                •   Add checkpoints for sequencer
   • An introduction to Data                        •   NLS configuration
       Warehousing                                  •   Generated OSH (Orchestra Engine)
   • Purpose of Data Warehouse                      •   System formats like data, timestamp
   • Data Warehouse Architecture                    •   Projects protect – Version details.
   • Operational Data Store
   • OLTP Vs Warehouse Applications            Unit – 6: Data stage Director
   • Data Marts
   • Data marts Vs Data Warehouses                  •   Introduction to Data stage Director
   • Data Warehouse Life cycle.                     •   Validating Data stage Jobs
                                                    •   Executing Data stage jobs
Unit -2: Data Modeling                              •   Job execution status
                                                    •   Monitoring a job
   •   Introduction to Data Modeling                •   Job log view
   •   Entity Relationship model (E-R               •   Job scheduling
       model)                                       •   Creating Batches
   •   Data Modeling for Data Warehouse,            •   Scheduling batches.
       Normalization process
   •   Dimensions and fact tables              Unit – 7: Data stage Designer
   •   Star Schema and Snowflake
       Schemas.                                     •   Introduction to Data stage Designer
                                                    •   Importance of Parallelism
Unit -3: ETL Design Process                         •   Pipeline Parallelism
                                                    •   Partition Parallelism
   •   Introduction to Extraction,                  •   Partitioning and collecting(In depth
       Transformation & Loading                         coverage of partitioning and
   •   Types of ETL Tools                               collective techniques)
   •   Key tools in the market.                     •   Symmetric Multi Processing (SMP)
                                                    •   Massively Parallel Processing (MPP)
Unit – 4: Introduction to Data stage                •   Introduction to Configuration file
Version 7.5x2 & 8.1& 8.5                            •   Editing a Configuration file
                                                    •   Partition techniques
   •   Data stage introduction                      •   Data stage Repository Palette
   •   IBM information Server architecture          •   Passive and Active stages
   •   Data stage components                        •   Job design overview
   •   Data Stage main functions                    •   Designer work area
   •   Client components- Adding different          •   Annotations
       Servers to our workspace.                    •   Creating jobs
                                                    •   Importing flat file definitions
Unit – 5: Data stage Administrator                  •   Managing the Metadata environment
                                                    •   Dataset management
   •   Data stage project Administration            •   Deletion of Dataset
   •   Editing projects and Adding Projects         •   Routines
   •   Deleting projects Cleansing up
       project files                           Unit – 8: Working with Parallel Job
   •   Environmental Variables                 Stages
   •   Environment management
   •   Auto purging                                 •   Database Stages
   •   Runtime Column Propagation(RCP)
Srihitha Technologies
   B7, 3rd Floor, Eureka Court, Beside Image Hospitals, Ameerpet, Hyderabad .
         Ph: 9885144200, 9394799566. www. srihithatechnologies.com

                                        Datastage

Duration: 30hrs

          o    Oracle                                   and implementing the same in
          o    ODBC                                     parallel jobs
          o    Dynamic RDBMS
   •   File Stages                             Unit – 9: Advanced Stages in Parallel
           o Sequential file                   Jobs (Version 8.1)
           o Dataset
           o File set                               •   Explanation of Type1 and Type 2
           o Lookup file se                             processes
                                                    •   Implementation of Type1 and Type2
   •   Processing Stages                                logics using Change Capture stage
           o Copy                                       and SCD Stage
           o Filter                                 •   Range Look process
           o Funnel                                 •   Surrogate key generator stage
           o Sort                                   •   FTP stage
           o Remove duplicate                       •   Job performance analysis
           o Aggregator                             •   Resource estimation
           o Switch                                 •   Performance tuning
           o Pivot stage
           o Lookup                            Unit – 10: Job Sequencers
           o Join
           o Merge                                  •   Arrange job activities in Sequencer
           o Difference between look up,            •   Triggers in Sequencer
               join and merge                       •   Restablity
           o Change capture                         •    Recoverability
           o External Filter                        •   Notification activity
           o Surrogate key generator                •   Terminator activity
           o Transformer                            •   Wait for file activity
   •   Real time scenarios using different          •   Start Loop activity
       Processing Stages - Implementing             •   Execute Command activity
       different logics using Transformer           •   Nested Condition activity
   •   Debug Stages                                 •   Exception handling activity
           o Head                                   •   User Variable activity
           o Tail                                   •   End Loop activity
           o Peek                                   •   Adding Checkpoints
           o Column generator                       •   Jobs used in different real time
           o Row generator                              scenarios.
           o Write Range Map Stage                  •   Explanation of Sequence Job stages
   •   Real Time Stages                                 through different Jobs
           o XML input
           o XML output                        Unit – 11: IBM Information Server
   •   Local and Shared containers             Administration Guide
   •   Routines creation
   •   Extensive usage of Job parameters,           •   IBM Web Sphere Data stage
       Parameter Sets, Environmental                    administration
       variables in jobs                            •   Opening the IBM Information Server
   •   Introduction to predefined                       Web console –
       Environmental variables creating             •   Setting up a project ion the console
       user defined Environmental variables         •   Customizing the project dashboard
                                                    •   Setting up security
Srihitha Technologies
   B7, 3rd Floor, Eureka Court, Beside Image Hospitals, Ameerpet, Hyderabad .
         Ph: 9885144200, 9394799566. www. srihithatechnologies.com

                                          Datastage

Duration: 30hrs

   •   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

          o   Performance Tuning of
              Parallel Jobs.
          o   Data stage Installation
              process and setup.
          o   Project Explanation.

More Related Content

Viewers also liked

The sun city nha be giá chỉ 9,9tr rẻ nhất khu vực
The sun city nha be   giá chỉ 9,9tr rẻ nhất khu vựcThe sun city nha be   giá chỉ 9,9tr rẻ nhất khu vực
The sun city nha be giá chỉ 9,9tr rẻ nhất khu vựcngoc2010
 
đấT nền the sun city nha be giá hot nhất thị trường
đấT nền the sun city nha be   giá hot nhất thị trườngđấT nền the sun city nha be   giá hot nhất thị trường
đấT nền the sun city nha be giá hot nhất thị trườngngoc2010
 
2009 Trends Matrix: Segnali di decrescita
2009 Trends Matrix: Segnali di decrescita2009 Trends Matrix: Segnali di decrescita
2009 Trends Matrix: Segnali di decrescitaValentina Durante
 
Διασυνοριακό Ηλεκτρονικό Επιχειρείν: Περιττό ή Αναγκαίο; - Προκλήσεις και Στρ...
Διασυνοριακό Ηλεκτρονικό Επιχειρείν: Περιττό ή Αναγκαίο; - Προκλήσεις και Στρ...Διασυνοριακό Ηλεκτρονικό Επιχειρείν: Περιττό ή Αναγκαίο; - Προκλήσεις και Στρ...
Διασυνοριακό Ηλεκτρονικό Επιχειρείν: Περιττό ή Αναγκαίο; - Προκλήσεις και Στρ...Efstathios Intzeidis
 
PROPOSTA DE REGULARIZAÇÃO FUNDIÁRIA DE CAUCAIA -2013 - ABORTADA
PROPOSTA DE REGULARIZAÇÃO FUNDIÁRIA DE CAUCAIA -2013 - ABORTADAPROPOSTA DE REGULARIZAÇÃO FUNDIÁRIA DE CAUCAIA -2013 - ABORTADA
PROPOSTA DE REGULARIZAÇÃO FUNDIÁRIA DE CAUCAIA -2013 - ABORTADAEri Brasil
 

Viewers also liked (8)

The sun city nha be giá chỉ 9,9tr rẻ nhất khu vực
The sun city nha be   giá chỉ 9,9tr rẻ nhất khu vựcThe sun city nha be   giá chỉ 9,9tr rẻ nhất khu vực
The sun city nha be giá chỉ 9,9tr rẻ nhất khu vực
 
鹽巴18招
鹽巴18招鹽巴18招
鹽巴18招
 
đấT nền the sun city nha be giá hot nhất thị trường
đấT nền the sun city nha be   giá hot nhất thị trườngđấT nền the sun city nha be   giá hot nhất thị trường
đấT nền the sun city nha be giá hot nhất thị trường
 
2009 Trends Matrix: Segnali di decrescita
2009 Trends Matrix: Segnali di decrescita2009 Trends Matrix: Segnali di decrescita
2009 Trends Matrix: Segnali di decrescita
 
Διασυνοριακό Ηλεκτρονικό Επιχειρείν: Περιττό ή Αναγκαίο; - Προκλήσεις και Στρ...
Διασυνοριακό Ηλεκτρονικό Επιχειρείν: Περιττό ή Αναγκαίο; - Προκλήσεις και Στρ...Διασυνοριακό Ηλεκτρονικό Επιχειρείν: Περιττό ή Αναγκαίο; - Προκλήσεις και Στρ...
Διασυνοριακό Ηλεκτρονικό Επιχειρείν: Περιττό ή Αναγκαίο; - Προκλήσεις και Στρ...
 
PROPOSTA DE REGULARIZAÇÃO FUNDIÁRIA DE CAUCAIA -2013 - ABORTADA
PROPOSTA DE REGULARIZAÇÃO FUNDIÁRIA DE CAUCAIA -2013 - ABORTADAPROPOSTA DE REGULARIZAÇÃO FUNDIÁRIA DE CAUCAIA -2013 - ABORTADA
PROPOSTA DE REGULARIZAÇÃO FUNDIÁRIA DE CAUCAIA -2013 - ABORTADA
 
Wounds
WoundsWounds
Wounds
 
Pc zombie
Pc zombiePc zombie
Pc zombie
 

Similar to Datastage Online Training

Datastage Online Training
Datastage Online TrainingDatastage Online Training
Datastage Online TrainingNagendra Kumar
 
Best Data stage online training institute
Best Data stage online training instituteBest Data stage online training institute
Best Data stage online training instituteMindmajix Technologies
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inidaQualitytrainings
 

Similar to Datastage Online Training (20)

Datastage Online Training
Datastage Online TrainingDatastage Online Training
Datastage Online Training
 
Best Data stage online training institute
Best Data stage online training instituteBest Data stage online training institute
Best Data stage online training institute
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica online training from inida
Informatica online training from inidaInformatica online training from inida
Informatica online training from inida
 
Informatica
InformaticaInformatica
Informatica
 
Informatica
InformaticaInformatica
Informatica
 
Informatica
InformaticaInformatica
Informatica
 
Informatica
InformaticaInformatica
Informatica
 
Informatica
InformaticaInformatica
Informatica
 

More from Srihitha Technologies

Veritas Volume Manager Classroom Training
Veritas Volume Manager Classroom TrainingVeritas Volume Manager Classroom Training
Veritas Volume Manager Classroom TrainingSrihitha Technologies
 
Unix - Sun Solaris Admin Classroom Training
Unix - Sun Solaris Admin Classroom TrainingUnix - Sun Solaris Admin Classroom Training
Unix - Sun Solaris Admin Classroom TrainingSrihitha Technologies
 
WebSphere MQ Admin Classroom Training
WebSphere MQ Admin Classroom TrainingWebSphere MQ Admin Classroom Training
WebSphere MQ Admin Classroom TrainingSrihitha Technologies
 

More from Srihitha Technologies (20)

C++ Online Training
C++ Online TrainingC++ Online Training
C++ Online Training
 
Web Designing Online Training
Web Designing Online TrainingWeb Designing Online Training
Web Designing Online Training
 
SAP ABAP Online Training
SAP ABAP Online TrainingSAP ABAP Online Training
SAP ABAP Online Training
 
Java Online Training
Java Online TrainingJava Online Training
Java Online Training
 
Loadrunner Online Training
Loadrunner Online TrainingLoadrunner Online Training
Loadrunner Online Training
 
J2EE Online Training
J2EE Online TrainingJ2EE Online Training
J2EE Online Training
 
IBM-AIX Online Training
IBM-AIX Online TrainingIBM-AIX Online Training
IBM-AIX Online Training
 
Hibernate Online Training
Hibernate Online TrainingHibernate Online Training
Hibernate Online Training
 
Java Classroom Training
Java Classroom TrainingJava Classroom Training
Java Classroom Training
 
Selenium Classroom Training
Selenium Classroom TrainingSelenium Classroom Training
Selenium Classroom Training
 
Teradata Classroom Training
Teradata Classroom TrainingTeradata Classroom Training
Teradata Classroom Training
 
Veritas Volume Manager Classroom Training
Veritas Volume Manager Classroom TrainingVeritas Volume Manager Classroom Training
Veritas Volume Manager Classroom Training
 
SEO Classroom Training
SEO Classroom TrainingSEO Classroom Training
SEO Classroom Training
 
Unix - Sun Solaris Admin Classroom Training
Unix - Sun Solaris Admin Classroom TrainingUnix - Sun Solaris Admin Classroom Training
Unix - Sun Solaris Admin Classroom Training
 
Python Classroom Training
Python Classroom TrainingPython Classroom Training
Python Classroom Training
 
WebSphere MQ Admin Classroom Training
WebSphere MQ Admin Classroom TrainingWebSphere MQ Admin Classroom Training
WebSphere MQ Admin Classroom Training
 
Web Designing Classroom Training
Web Designing Classroom TrainingWeb Designing Classroom Training
Web Designing Classroom Training
 
PHP Classroom Training
PHP Classroom TrainingPHP Classroom Training
PHP Classroom Training
 
Testing Tools Classroom Training
Testing Tools Classroom TrainingTesting Tools Classroom Training
Testing Tools Classroom Training
 
Shell Scripting Classroom Training
Shell Scripting Classroom TrainingShell Scripting Classroom Training
Shell Scripting Classroom Training
 

Recently uploaded

Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Romantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptxRomantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptxsqpmdrvczh
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationAadityaSharma884161
 

Recently uploaded (20)

Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Romantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptxRomantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptx
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint Presentation
 

Datastage Online Training

  • 1. Srihitha Technologies B7, 3rd Floor, Eureka Court, Beside Image Hospitals, Ameerpet, Hyderabad . Ph: 9885144200, 9394799566. www. srihithatechnologies.com Datastage Duration: 30hrs Unit -1: Data Warehouse Fundamentals • Add checkpoints for sequencer • An introduction to Data • NLS configuration Warehousing • Generated OSH (Orchestra Engine) • Purpose of Data Warehouse • System formats like data, timestamp • Data Warehouse Architecture • Projects protect – Version details. • Operational Data Store • OLTP Vs Warehouse Applications Unit – 6: Data stage Director • Data Marts • Data marts Vs Data Warehouses • Introduction to Data stage Director • Data Warehouse Life cycle. • Validating Data stage Jobs • Executing Data stage jobs Unit -2: Data Modeling • Job execution status • Monitoring a job • Introduction to Data Modeling • Job log view • Entity Relationship model (E-R • Job scheduling model) • Creating Batches • Data Modeling for Data Warehouse, • Scheduling batches. Normalization process • Dimensions and fact tables Unit – 7: Data stage Designer • Star Schema and Snowflake Schemas. • Introduction to Data stage Designer • Importance of Parallelism Unit -3: ETL Design Process • Pipeline Parallelism • Partition Parallelism • Introduction to Extraction, • Partitioning and collecting(In depth Transformation & Loading coverage of partitioning and • Types of ETL Tools collective techniques) • Key tools in the market. • Symmetric Multi Processing (SMP) • Massively Parallel Processing (MPP) Unit – 4: Introduction to Data stage • Introduction to Configuration file Version 7.5x2 & 8.1& 8.5 • Editing a Configuration file • Partition techniques • Data stage introduction • Data stage Repository Palette • IBM information Server architecture • Passive and Active stages • Data stage components • Job design overview • Data Stage main functions • Designer work area • Client components- Adding different • Annotations Servers to our workspace. • Creating jobs • Importing flat file definitions Unit – 5: Data stage Administrator • Managing the Metadata environment • Dataset management • Data stage project Administration • Deletion of Dataset • Editing projects and Adding Projects • Routines • Deleting projects Cleansing up project files Unit – 8: Working with Parallel Job • Environmental Variables Stages • Environment management • Auto purging • Database Stages • Runtime Column Propagation(RCP)
  • 2. Srihitha Technologies B7, 3rd Floor, Eureka Court, Beside Image Hospitals, Ameerpet, Hyderabad . Ph: 9885144200, 9394799566. www. srihithatechnologies.com Datastage Duration: 30hrs o Oracle and implementing the same in o ODBC parallel jobs o Dynamic RDBMS • File Stages Unit – 9: Advanced Stages in Parallel o Sequential file Jobs (Version 8.1) o Dataset o File set • Explanation of Type1 and Type 2 o Lookup file se processes • Implementation of Type1 and Type2 • Processing Stages logics using Change Capture stage o Copy and SCD Stage o Filter • Range Look process o Funnel • Surrogate key generator stage o Sort • FTP stage o Remove duplicate • Job performance analysis o Aggregator • Resource estimation o Switch • Performance tuning o Pivot stage o Lookup Unit – 10: Job Sequencers o Join o Merge • Arrange job activities in Sequencer o Difference between look up, • Triggers in Sequencer join and merge • Restablity o Change capture • Recoverability o External Filter • Notification activity o Surrogate key generator • Terminator activity o Transformer • Wait for file activity • Real time scenarios using different • Start Loop activity Processing Stages - Implementing • Execute Command activity different logics using Transformer • Nested Condition activity • Debug Stages • Exception handling activity o Head • User Variable activity o Tail • End Loop activity o Peek • Adding Checkpoints o Column generator • Jobs used in different real time o Row generator scenarios. o Write Range Map Stage • Explanation of Sequence Job stages • Real Time Stages through different Jobs o XML input o XML output Unit – 11: IBM Information Server • Local and Shared containers Administration Guide • Routines creation • Extensive usage of Job parameters, • IBM Web Sphere Data stage Parameter Sets, Environmental administration variables in jobs • Opening the IBM Information Server • Introduction to predefined Web console – Environmental variables creating • Setting up a project ion the console user defined Environmental variables • Customizing the project dashboard • Setting up security
  • 3. Srihitha Technologies B7, 3rd Floor, Eureka Court, Beside Image Hospitals, Ameerpet, Hyderabad . Ph: 9885144200, 9394799566. www. srihithatechnologies.com Datastage Duration: 30hrs • 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 o Performance Tuning of Parallel Jobs. o Data stage Installation process and setup. o Project Explanation.