Course Description:
The Informatica company that specializes in cloud data management solutions powered by AI. They help businesses unlock the power of their data by enabling data integration, governance, and security across various platforms and applications. Essentially, Informatica provides tools and services that help businesses manage and utilize their data more effectively, from extracting and transforming data to ensuring its quality and accessibility.
Key Features of Course Divine:
Career Opportunities After Information:
Essentials Skills You will Develop Information:
Tools Covered:
Syllabus:
Module 1: Introduction to Data Warehousing and ETL Basics of Data Warehousing
ETL concepts (Extract, Transform, Load) Introduction to Power Center Architecture of Power Center Components: Repository, Integration Service, Repository Service, Power Center client tools.
Module 2: Installation and Configuration System requirements
Installation of Informatica Server and Client Domain configuration Repository creation User and folder setup Basic troubleshooting.
Module 3: Working with Sources and Targets Types of sources (Flat Files, Relational, XML, Excel, etc.) Source Analyzer Target Designer
Importing source and target definitions Creating target definitions from scratch.
Module 4: Mapping and Transformations Basics Introduction to Mapping Designer
Creating a simple mapping Common transformations: Expression Filter Router
Sorter Aggregator Sequence Generator.
Module 5: Advanced Transformations Lookup transformatio connected/unconnected
Joiner transformation Update Strategy Normalizer and Denormalizer
Rank transformation Union and Source Qualifier Transaction Control.
Module 6: Workflow Manager Workflow creation Worklet and session configuration
Link conditions and decision tasks Workflow Monitor: managing and debugging workflows Scheduling workflows Email tasks and event wait/raise
Module 7: Parameterization and Variables Mapping parameters and variables Workflow variables Using parameters in sessions Parameter files Reusable transformations.
Module 8: Performance Tuning and Optimization Session and mapping performance tuning Pushdown optimization Caching in transformations (Lookup, Joiner, Aggregator) Partitioning and parallel processing Bottleneck identification techniques.
Module 9: Real-Time and Advanced Features CDC (Change Data Capture)
Real-time processing using web services Data masking and profiling XML and JSON data handling Using Informatica with cloud sources (Informatica Cloud basics)
Error handling and recovery mechanisms.
Module 10: Project, Best Practices & Interview Preparation End-to-End mini project or case study Code versioning and deployment best practices Best practices for mapping and workflow design Interview questions and answers Certification guide Power Center Developer Certification
Industry Projects:
Who Is This Program For?
How To Apply:
Mobile: 9100348679
Email: coursedivine@gmail.com
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