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Chapter 1: Overview of SAS Business Analytics Platform

Chapter 2: Exploring the SAS Data Integration Studio Interface

Chapter 3: Change Management Features in SAS Data Integration Studio

Chapter 4: Administrative Tasks in SAS Data Integration Studio

Chapter 5: Using the New Library Wizard

Chapter 6: Registering Source Data Metadata

Chapter 7: Microsoft Access Database Metadata Registration with ODBC

Chapter 8: Comma-Delimited External File Metadata Registration

Chapter 9: Importing and Exporting Metadata

Chapter 10: Overview of SAS Packages

Chapter 11: Importing and Exporting Relational Metadata

Chapter 12: Features of the New Table Wizard

Chapter 13: Components of Join Designer Window

Chapter 14: Navigate Pane

Chapter 15: SQL Clauses Pane

Chapter 16: Tables Pane

Chapter 17: Properties Pane

Chapter 18: Understanding Mapping and Propagation

Chapter 19: Working with Performance Statistics

Chapter 20: Enabling/Disabling Performance Statistics

Chapter 21: Viewing Performance Statistics

Chapter 22: Generating Reports on Tables and Jobs Metadata

Chapter 23: Impact and Reverse Impact Analysis

Chapter 24: Using Extract and Summary Statistics Transformations

Chapter 25: Loop Transformations

Chapter 26: Iterating Jobs

Chapter 27: Iterating Transformations

Chapter 28: Status Handling in Transformations

Chapter 29: Data Validation Transformation

Chapter 30: Configuring Validation Types

Chapter 31: Error and Exception Table Configuration

Chapter 32: Rank, Transpose, Append, List, and Sort Transformations

Chapter 33: SQL Grouping Transformations

Chapter 34: Introduction to Table Loader Transformation

Chapter 35: Load Styles in Table Loader Transformation

Chapter 36: Defining Keys and Indexes in SAS Data Integration Studio

Chapter 37: Options for Keys and Indexes in Table Loader

Chapter 38: Using Bulk Table Loader Transformation

Chapter 39: In-Database Processing with Join Designer Components

Chapter 40: SAS Code Transformation Templates

Chapter 41: Creating Custom Transformations

Chapter 42: Types of Job Deployment in SAS Data Integration Studio

Chapter 43: Overview of the Scheduling Process

Chapter 44: Defining In-Database Processing

Chapter 45: Benefits of In-Database Processing

Chapter 46: Enabling In-Database Processing

Chapter 47: ELT Methods Overview

Chapter 48: Using DBMS Functions in SAS DI Jobs

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