Informatica Performance Tuning and Optimization Techniques

[mitsumi]

Informatica Performance Tuning and Optimization Techniques
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 555 MB
Genre: eLearning Video | Duration: 49 lectures (3 hour, 32 mins) | Language: English

 Partitions, Pushdown Optimization and other Optimization Techniques

What you'll learn

    Push Down Optimization.
    Partitions in Informatica.
    Dynamic Session Partitions.
    Concurrent Workflow Execution.
    Load Balancing for Workflow Distribution on GRID.
    Steps to determine the best way to improve performance of the existing Informatica Objects.
    Iterative methods of identifying one performance bottleneck at a time and eliminate it.
    Optimization techniquies for Flat File Targets.
    Optimization techniquies for Flat File Sources.
    Optimization techniquies for Mappings.
    Optimization techniquies for Datatype Conversions.
    Optimization techniquies for Expression Transformation.
    Optimization techniquies for Aggregator Transformation.
    Optimization techniquies for Custom Transformation.
    Optimization techniquies for Joiner Transformation.
    Optimization techniquies for Lookup Transformation.
    Optimization techniquies for Normalizer Transformation.
    Optimization techniquies for Sequence Generator Transformation.
    Optimization techniquies for Sorter Transformation.
    Optimization techniquies for Source Qualifier Transformation.
    Optimization techniquies for SQL Transformation.
    Optimization techniquies for the Sessions.
    Optimization techniquies for Grid Deployment.
    Optimization techniquies for the (Operating Systems) Systems.
    Optimizing Buffer Block Sizes.
    Optimizing Cache Sizes for Cache using transformations.

Requirements

    You should know Informatica Power Center
    ETL Methodologies using Informatica Power Center

Description

The purpose of this course is to walk you through the steps to identify performance bottlenecks in Informatica Power Center and different optimization techniques to fix them. After completing this course, you will have a working understanding of the different performance bottlenecks, how to identify them based on the iterative approach and the thread statistics. Different best practices and optimization techniques which should be consideration while designing the mapping or fine tuning the existing ones.

Who this course is for:

    ETL Developers
    ETL Testers/QA Analysts
    Informtaica Administrators
    UNIX Administrators managing the Data Warehouse Enviornments
    Relational DBAs managing the Data Warehouse Enviornments
    Windows Administrators managing the Data Warehouse Enviornments

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