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    DataStage Training and Certification

    BY
    Mindmajix Technologies

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    Mode

    Online

    Fees

    ₹ 10000 12000

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Frequency of Classes Weekdays, Weekends

    Course and certificate fees

    Fees information
    ₹ 10,000  ₹12,000
    certificate availability

    Yes

    certificate providing authority

    Mindmajix Technologies

    The syllabus

    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 and 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) 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
    • 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
    • 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

    Practice Test & Interview Questions

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