ETL/Informatica

ETL/Informatica

ETL is a type of data integration and involves an architecture that extracts, transforms, and then loads data in the target database or file.

Informatica is a data integration tool based on ETL architecture.

ETL is a type of data integration and involves an architecture that extracts, transforms, and then loads data in the target database or file. It is the foundation of data warehouse.
An ETL system does the following:
  • Extracts data from source systems
  • Transforms and cleans up the data
  • Indexes data
  • Summarises data
  • Loads data into the warehouse
  • Tracks changes made to the source data required for the warehouse
  • Restructures keys
  • Maintains the metadata
  • Refreshes the warehouse with updated data
Informatica is a data integration tool based on ETL architecture. It provides data integration software and services for various businesses, industries and government organisations including telecommunication, health care, financial and insurance services.
  • Informatica PowerCenter is a premium data integration solution available today.
  • The reason it provides the best solution in large enterprises is because it is database neutral and hence can communicate with any database the most powerful data transformations tool. It converts one application’s data to another’s format.
ETL/Informatica
Timeline and Prerequisite
60 Hrs
Course Duration
Prerequsite
A basic knowledge of SQL can be an added advantage.
ETL/Informatica
Curriculum
  • Introduction to ETL and its importance in data warehousing
  • Setting up and installation of various ETL tools
  • Optimising ETL tools for best results based on specific job requirements
  • OLAP, ETL and OLTP systems➢ Data modelling and dimensional modelling
  • Data modelling and dimensional modelling
  • Working with star and snowflake schemas
  • Dimensions, measures and fact tables in data warehousing
  • Data types and performance tuning in ETL
  • SCD types and various methods of handling SCD data
  • Various types of data transformation techniques
  • Source qualifier transformation and mapping
  • Informatica architecture and PowerCenter
  • Installation and configuration of Informatica
  • Managing and monitoring Informatica workflow
  • Using PowerCenter to handle jobs and tasks
  • Informatica workflow variables and session parameters
  • Working with Informatica Admin Console
  • Informatica performance tuning
  • Managing Informatica Repository
  • ETL functionalities and scenarios
  • Informatica SQL and XML transformation
  • ....