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Informatica Informatica

duration 35 hours

Introduction and Architecture • • • • •

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

Client Software Overview • • • • • •

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

Source Object Definitions • • • • •

3.1 Flat File Sources 3.2 Relational Sources 3.3 Data Previewer 3.4 Metadata Extensions 3.5 LAB: Import a Source

Target Object Definitions • • • • •

4.1 Target Definitions 4.2 Target Properties 4.3 Flat File Targets 4.4 Relational Targets 4.5 LAB: Import a Target

Mappings • • • • • • •

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

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Informatica • 5.8 Data Types • 5.9 Mapping Validation • 5.10 LAB: Create a Working Mapping Workflows • • • • • • • • •

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

Monitoring Workflows • • • • • • • •

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

Debugger • • • •

8.1 Debugger Features 8.2 Debugger Windows and Indicators 8.3 Debugger Best Practices 8.4 LAB: Debug the Mapping

Filter Transformation • • • •

9.1 Filter Functionality 9.2 Filter Properties 9.3 Filter Versus DB Where Clause 9.4 LAB: Create a Filter Transformation, Run Workflow

Sorter Transformation • • •

10.1 Sorter Functionality 10.2 Sorter Properties 10.3 Sorter Versus Database Order by Clause

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Informatica Aggregator Transformation • • • • •

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

Joiner Transformation • • • • • •

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

Lookup Transformation • • • • •

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

Target Options • • • •

14.1 Target Properties 14.2 WHERE Clause 14.3 Constraint-Based Loading 14.4 Target SQL Override Best Practices

Update Strategy Transformation • • • •

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

Router Transformation • • • •

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

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Informatica Parameters and Variables • • • •

17.1 Parameter Scoping 17.2 System Variables 17.3 Mapping Parameters and Variables 17.4 Variable Functions

Unconnected Lookups • • • • •

18.1 Usage and Techniques 18.2 Advantages 18.3 Functionality 18.4 Conditional Lookups 18.5 LAB: Create an Unconnected Lookup

Heterogeneous Targets • • •

19.1 Heterogeneous Target Types 19.2 Target Type Limitations and Conversions 19.3 LAB: Build Heterogeneous Targets

Mapplets • • • • • • •

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

Reusable Transformations • • • • •

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

Sequence Generator 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

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Informatica

Error Logging • • • • •

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

Workflow Configuration • • • • •

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

Reusable Tasks • • •

25.1 The Command Task 25.2 The Email Task 25.3 Reusable Task Best Practices

Non-Reusable Tasks • • • • • • • • • •

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

Worklets • • •

27.1 Reusable Worklet 27.2 Non-Reusable Worklet 27.3 Worklet Best Practices

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