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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