SAS BI &DI

Why Should You Take

SAS BI & DI

Base SAS course is entry level program for candidates those looking career in analytics. In this course you can learn how to write SAS programs and build logics to develop the solution for handling different type of client requirement. This course enhance knowledge and programming skills as a professional SAS programmer. During the training, provided daily practice assignments help candidate to get fare idea about how to write the code to develop high quality reports.

Instructor Led SAS Live Training

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COURSE CONTENTS:

  1. SAS Data Integration Studio (ETL tool)

  2. SAS Management Console (Admin tool)

  3. SAS Enterprise Guide

  4. SAS OLAP cube Studio

  5. SAS OLAP Cube Viewer

  6. SAS Information Map Studio

  7. SAS Web Report building

  8. SAS Information Delivery Portal

  9. SAS Dashboard

  10. SAS Add –In for Microsoft Office

INTRODUCTION:

  • Introduction to the SAS® Enterprise Intelligence Platform

  • SAS Business Intelligence Overview  Business Intelligence Information Consumers

CREATING METADATA FOR TARGET DATA AND JOBS:

  • Describe features of the New Tables wizard

  • Discuss SAS packages

  • Discuss importing and exporting of relational metadata

  • Discuss components of SQL Join’s Designer window

  • Investigate mapping and propagation

  • Work with performance statistics Generate reports on metadata for tables and jobs

  • Define Impact and Reverse Impact Analysis.

WORKING WITH SLOWLY CHANGING DIMENSIONS:

  • List the functions of the SCD Type 1, SCD Type 2 transformation

  • Define business keys

  • Define surrogate and retained keys

  • Detect and track changes

  • Discuss the Lookup transformation.

ETL TOOL (SAS DI):

Concepts:

  • Introduction of data warehousing

  • Define the architecture of the platform for SAS Business Analytics

  • Describe the available interfaces

  • Define the change management feature of SAS Data Integration Studio.

WORKING WITH TRANSFORMATIONS:

  • Discuss and use the Extract and Summary Statistics transformation

  • Discuss and use the Loop transformations

  • Investigate where status handling is available

  • Discuss and use the Data Validation transformation

  • Discuss and use the Rank, Transpose, Append, List, Compare and Sort transformations

  • Discuss and use the Apply Lookup Standardization transformation

  • Define the Concept of a Checkpoint.

DEFINING GENERATED TRANSFORMATIONS:

  • Define SAS code transformation templates

  • Create a custom transformation

CREATING METADATA FOR SOURCE AND TARGET DATA:

  • Define administrative tasks to be performed for SAS Data Integration Studio

  • Describe the New Library Wizard

  • Use Register Tables wizard to register source data

  • Use Register Tables wizard to register metadata for a Microsoft Access database table using ODBC

  • Register metadata for a comma-delimited external file

  • Import and Export Metadata.

WORKING WITH TABLES AND THE TABLE LOADER TRANSFORMATION:

  • Discuss reasons to use the Table Loader transformation

  • Discuss various load styles provided by the Table Loader transformation

  • Discuss various types of keys and how to define in SAS Data Integration Studio

  • Discuss indexes and how to define in SAS Data Integration Studio

  • Discuss Table Loader options for keys and indexes.

REPORTING TOOLS (SAS BI):

BUSINESS USER REPORTING APPLICATIONS:

  • Use the SAS Add-In for Microsoft Office

  • Use SAS Web Report Studio

  • Use SAS Information Delivery Portal.

BUILDING A SAS BI DASHBOARD APPLICATION:

  • Build SAS BI Dashboard Components

  • Build advanced SAS BI Dashboard Components

UTILIZING MULTIDIMENSIONAL (OLAP) DATA SOURCES:

  • Apply Online Analytical Processing concepts

  • Build an OLAP cube with SAS OLAP Cube Studio

  • Build an information map from a SAS OLAP Cube.

ADVANCED REPORTING TECHNIQUES AND ROLES:

  • Modify an existing SAS Information Map

  • Create a New SAS BI Dashboard Indicator

  • Create data sources for reporting and analysis

  • Interpret permissions and file structures defined in metadata by the platform administrator

BUILDING STORED PROCESSES:

  • Create a stored process from a SAS Enterprise Guide Project

  • Create a stored process from a SAS Program

  • Add prompts to a stored process

  • Create a stored process to provide a dynamic data source

  • Define the macro variables generated for each prompt type.

CREATING INFORMATION MAPS:

  • Utilize different data sources

  • Use filters and the prompting framework to dynamically subset data

  • Create profilers to subset the information map data.

UTILIZING ADVANCED TECHNIQUES WITH SAS REPORTS:

  • Build advanced reports with SAS Web Report Studio

  • Create and use SAS report templates

  • Link reports in SAS Web Report Studio

  • Schedule and distributing SAS Reports

  • Build SAS reports with SAS Enterprise Guide

  • Create shared prompts.

SUPPORT

  • Study material: Notes and Books

  • Daily assignments with respect to chapter for hands on experience

  • Interview preparation

  • Resume preparation help

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