Data Warehousing
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- 1.1 Architecture and Software Overview
- 1.2 ETL and ELT Architecture Overview
- 1.3 Partitioning and Parallelism Introduction
- 1.4 PowerCenter Services RAM Utilization
- 1.5 Differences Between 32 bit and 64 bit
- 2.1 Introduction to Designer Interface
- 2.2 Introduction to Workflow Manager Interface
- 2.3 Introduction to Workflow Monitor
- 2.4 Introduction to Repository Manager
- 2.5 Nature of ODBC in the Designer
- 2.6 Software Demonstration
- 3.1 Flat File Sources
- 3.2 Relational Sources
- 3.3 Data Previewer
- 3.4 Metadata Extensions
- 3.5 LAB: Import a Source
- 4.1 Target Definitions
- 4.2 Target Properties
- 4.3 Flat File Targets
- 4.4 Relational Targets
- 4.5 LAB: Import a Target
- 5.1 Defining a Data Flow Diagram
- 5.2 Transformation Objects and Views
- 5.3 Source Definition and Source Qualifier
- 5.4 Pre-SQL and Post-SQL Rules
- 5.5 Expression Transformation
- 5.6 Informatica Functions
- 5.7 Variable Ports
- 5.8 Data Types
- 5.9 Mapping Validation
- 5.10 LAB: Create a Working Mapping
- 6.1 Workflow Tools
- 6.2 Workflow Structure
- 6.3 Workflow Connections
- 6.4 Workflow Tasks
- 6.5 Workflow Design Process
- 6.6 Workflow Properties
- 6.7 Workflow Links
- 6.8 Session Tasks
- 6.9 LAB: Configure a Workflow and Session
- 7.1 Workflow Monitor Views
- 7.2 Monitoring a Server
- 7.3 Actions Initiated from the Workflow Monitor
- 7.4 Filtering Views
- 7.5 Truncating Monitor Logs
- 7.6 Stop Versus Abort
- 7.7 LAB: Run and Monitor the Workflow
- 7.8 LAB: Demonstration of Designer Features
- 8.1 Debugger Features
- 8.2 Debugger Windows and Indicators
- 8.3 Debugger Best Practices
- 8.4 LAB: Debug the Mapping
- 9.1 Filter Functionality
- 9.2 Filter Properties
- 9.3 Filter Versus DB Where Clause
- 9.4 LAB: Create a Filter Transformation, Run Workflow
- 10.1 Sorter Functionality
- 10.2 Sorter Properties
- 10.3 Sorter Versus Database Order by Clause
- 11.1 Aggregator Transformation
- 11.2 Aggregator Expressions and Functions
- 11.3 Using Unsorted and Sorted Data
- 11.4 Data Flow Rules
- 11.5 Aggregator Versus Database Group By
- 12.1 Homogeneous and Heterogeneous Joins
- 12.2 Joiner Conditions and Properties
- 12.3 Joiner Usage
- 12.4 Nested Joins
- 12.5 Joiner Versus Database Join
- 12.6 LAB: Add Sorter, Joiner, and Aggregator
- 13.1 Lookup Principles
- 13.2 Lookup Properties
- 13.3 Lookup Caching
- 13.4 Lookup Versus Database Join
- 13.5 LAB: Create a Basic Lookup
- 14.1 Target Properties
- 14.2 WHERE Clause
- 14.3 Constraint-Based Loading
- 14.4 Target SQL Override Best Practices
- 15.1 Update Strategy Transformation
- 15.2 Update Strategy Expressions
- 15.3 Update Strategy Best Practices
- 15.4 LAB: Create a Type 2 Dimension Update
- 16.1 Router Functionality
- 16.2 Router Groups
- 16.3 LAB: Use a Router to Delete Rows
- 16.4 LAB: Data Driven Versus Session Switches
- 17.1 Parameter Scoping
- 17.2 System Variables
- 17.3 Mapping Parameters and Variables
- 17.4 Variable Functions
- 18.1 Usage and Techniques
- 18.2 Advantages
- 18.3 Functionality
- 18.4 Conditional Lookups
- 18.5 LAB: Create an Unconnected Lookup
- 19.1 Heterogeneous Target Types
- 19.2 Target Type Limitations and Conversions
- 19.3 LAB: Build Heterogeneous Targets
- 20.1 Mapplet Designer
- 20.2 Mapplet Advantages
- 20.3 Mapplet Types and Rules
- 20.4 Active and Passive Mapplets
- 20.5 Mapplet Parameters and Variables
- 20.6 Mapplet Designer Best Practices
- 20.7 LAB: Build a Mapplet
- 21.1 Transformation Developer
- 21.2 Rules
- 21.3 Promoting and Copying Transformations
- 21.4 Transformation Developer Best Practices
- 21.5 LAB: Create and Use a Reusable Transformation
- 22.1 Sequence Generator Functionality
- 22.2 Sequence Generator Properties
- 22.3 Sequence Generator Best Practices
- 22.4 LAB: Create a Variable Based Sequence Generator
- 23.1 Setting On and Off
- 23.2 Data Rejects with Error Logging Off
- 23.3 Error Logging to Database Table and Flat File
- 23.4 Source Row Logging
- 23.5 Error Logging Best Practice Architecture
- 24.1 Server Connections
- 24.2 Reusable Workflow Schedules
- 24.3 Reusable Session Configurations
- 24.4 LAB: Create a Sequential Workflow
- 24.5 LAB: Create a Concurrent Workflow
- 25.1 The Command Task
- 25.2 The Email Task
- 25.3 Reusable Task Best Practices
- 26.1 The Decision Task
- 26.2 The Assignment Task
- 26.3 The Timer Task
- 26.4 The Control Task
- 26.5 The Event Wait Task
- 26.6 The Event Raise Task
- 26.7 Non-Reusable Tasks Best Practices
- 26.8 LAB: Create Event Wait/Event Raise and Timer
- 26.9 LAB: Create a Control and Assignment Task
- 26.10 LAB: Create a Command Line Task
- 27.1 Reusable Worklet
- 27.2 Non-Reusable Worklet
- 27.3 Worklet Best Practices
Informatica
INFORMATICA ONLINE TRAINING
Course Name : Informatica Online Training
Course Duration : 30 Hours
Introduction to Datawarehousing Informatica training
Introduction and Architecture
Client Software Overview
Source Object Definitions
Target Object Definitions
Mappings
Workflows
Monitoring Workflows
Debugger
Filter Transformation
Sorter Transformation
Aggregator Transformation
Joiner Transformation
Lookup Transformation
Target Options
Update Strategy Transformation
Router Transformation
Parameters and Variables
Unconnected Lookups
Heterogeneous Targets
Mapplets
Reusable Transformations
Sequence Generator Transformation
Error Logging
Workflow Configuration
Reusable Tasks
Non-Reusable Tasks
Worklets
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