Concepts of Informatica
Data Warehouse Concepts:
Introduction to Data warehouse
What is Data warehouse and why we need Data warehouse
OLTP vs ODS vs Data warehouse
Dimensional modeling
Star schema/Snowflake schema/Galaxy schema
Dimensions / Facts tables.
Slowly Changing Dimensions and its types.
Data Staging Area
Different types of Dimensions and Facts.
Data Mart vs Data warehouse
DWH Approaches: Ralph Kimball’s vs Bill Inmon’s
Informatica Power Center :
Software Installation:
Informatica 9 Server/Client Installation
on Windows
Power Center Architecture and Components:
Introduction to informatica Power Center
Difference Between Power Center and Power Mart
PowerCenter 9 architecture
PowerCenter 7 architecture vs PowerCenter 8 and 9 architecture
Extraction, Transformation and loading process
Power Center tools: Designer, Workflow manager, Workflow Monitor,
Repository Manager, Informatica Adminstration Console.
Repository Server
Repository maintenance
Repository Server Administration Console
Security, Repository, privileges and folder permissions
Metadata extensions
Power Center Developer Topics:
Lab 1- Create a Folder.
How to provide Previllages
Source Object Definitions
Source types
Relational Tables (Oracle,
Teradata)
Flat Files (fixe width, Delimiter
Files)
Xml Files
Source properties
Lab 2- Analyze Source Data, Import
Source.
Target Object Definitions
Target types
Target properties
Lab 3- Import Targets
Transformation Concepts
Transformation types and views
Transformation features and ports
Informatica functions and data types
Mappings
Mapping components
Source Qualifier transformation
Pre SQL and Post SQL
Mapping validation
Data flow rules
Lab 4 –Create a Mapping, session, and
workflow
Workflows
Workflow Tools
Workflow Structure and configuration
Workflow Tasks
Workflow Design and properties
Session Tasks
Session Task properties
Session components
Transformation overrides
Session partitions
Workflow Monitoring
Workflow Monitor views
Monitoring a Server
Actions initiated from the workflow Monitor
Gantt chart View and Task view.
Lab 6 – Start and Monitor a Workflow
Debugger
Debugger features
Debugger windows
Tips for using the Debugger
Lab 7 –The Debugger
Expression transformation
Expression, variable ports, storing previous record values.
Different type of Ports
Input/ output / Variable ports and Port
Evaluation
Filter transformation
Lookup Caches
Filter properties
Lab 8- Expression and Filter
Aggregator transformation
Aggregation function and expressions
Aggregator properties
Using sorted data
Incremental Aggregation
Joiner transformation
Joiner types
Joiner conditions and properties
Joiner usage and Nested joins
Lab 9 – Aggregator, Heterogeneous join
Working with Flat files
Importing and editing flat file sources
& Targets
Lab Session – Use Flat file as source.
Sorter transformation
Sorter properties
Sorter limitations
Lab 10 – Sorter
Propagate Attributes.
Shared Folder and Working with shortcuts.
Informatica built in functions.
Lookup transformation
Lookup principles
Lookup properties
Lookup techniques
Connected and unconnected lookups.
Lookup Caches
Lab 11 – Basic and Advance Lookup
Target options
Row type indicators
Row loading operations
Constraint- based loading
Rejected row handling options
Lab 12 – Deleting Rows
Update Strategy transformation
Update strategy expressions
Lab 13 – Data Driven Inserts and Rejects
Router transformation
Using a router
Router groups
Lab 14 – Router
Conditional Lookups
Usage and techniques
Advantage
Functionality
Lab 15 – Straight Load
Lab 16 – Conditional Lookups
Heterogeneous Targets
Heterogeneous target types
Target type conversions and limitations
Lab 17 – Heterogeneous Targets
Mapplets
Functionality and Advantages
Mapplet types and structure
Mapplet limitations
Lab 18 – Mapplets
Reusable transformations
Advantages
Limitations
Promoting and copying transformations
Lab 19 – Reusable transformations
Sequence Generator transformation
Using a sequence Generator
Sequence Generator properties
Dynamic Lookup
Dynamic lookup theory
Usage and functionality
Advantages
Lab 20 – Dynamic Lookup
Concurrent and sequential Workflows
Concurrent Workflows
Sequential Workflows
Stopping, Starting and suspending tasks and workflows
Lab 21 – Sequential Workflow
Additional Transformations
Union Transformation
Rank transformation
Normalizer transformation
Custom Transformation
Transformation Control transformation
XML Transformation
SQL Trasnformation
Stored Procedure Transformation
External procedure Transformation
SQL Transformation
Lab Sessions- For above transformations
Error Handling
· Overview of Error Handling Topics
Lab 22 – Error handling fatal and non
Fatal
Workflow Tasks:
Command
Email
Decision
Timer
Control
Even Raise and Wait
Sequential Batch Processing
Parllel Batch Processing
Lab Sessions – With Workflow tasks
Link Conditions
Team Based Development
Version Control
Checking out and checking in objects.
Performance Tuning
Overview of System Environment
Identifying Bottlenecks.
Optimizing Source, Target, mapping, Transformation, session.
Mapping Parameters and Variables
Introduction to Mappng Variables and
Parameters
Creating Mapping Variables and Updating Variables
Creating Parameter File and associating file to a Session
System Variables
Variables functions
Lab 26 - Override Mapping Variable with
Parameter Files
Lab 27 – Dynamically Updating a Source
Qualifier with Mapping Variable
Slowly Changing Dimensions Type 1, Type
2, Type 3
Incremental Loading
Lab 28– SCD 1, 2, 3
Reusable Workflow Tasks
WorkLets
Worklets Limitation
Sessions
Reusable Sessions
Lab 29 – Create Worklets using Tasks
Command Line Interface ( PMCMD)
Overview of PMCMD and functions.
Overview of PMREP and functions.
Lab 30 : PMCMD
PMREP
Informatica Migrations:
Copying Objects
Objects export and import (XML)
Deployment groups
Workflows Scheduling:
Using Informatica
Unix crontab, third party tools.
Lab 30: Informatica Project- Case Study
Sales Data mart.
Loading Dimensions and Facts.
ETL Best Practices and methodologies
Review the Industry best practices in ETL Development
Review Real time project experiences of trainer
Discuss what is learned techniques are useful in real world
How to design effective ETL process
Important considerations in designing ETL process
Discuss real world prouction issues and support
Discuss various roles in ETL world
Busines Analyst, System Analyst
System Architect
Technical Architect, ETL Lead
Stakeholders, Busines users
Effective ways of using Data warehouse
Review various BI Reporting methods
1.
Informatica - Best practices.
2.
Mapping Design through Visio tool.
3.
Data Loading techniques for huge volume of data.
4.
XML Data Loading – Best Practices.
5.
Incremental Loading and Rollback procedures.
6.
Slowly changing dimension – Overview.
7.
Caching VS Direct load.
8.
Transaction Handling.
9.
Performance Tuning.
10.
Traceability and Event Logging.
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