SAS Data Integration Studio Instructor-led Training

There are many benefits of using SAS Data Integration Studio. One of its fundamental functions is to generate code. Metadata – data about data – and transformations work together to produce SAS code that populates data warehouses and data marts. With SAS’ powerful analytics, this data is essential for solving business problems.
SAS Data Integration Studio is rarely used for ad-hoc data investigations or what if analysis. Instead, it’s more suitable for repeatable extract, transform, and load processing that runs in a batch environment on daily, weekly, or monthly intervals.

The SAS Data Integration Studio bridge imports implemented data resources and business intelligence models in XML files that are created by SAS Data Integration Studio, Version 9. The XML files must be compliant with the Object Management Group (OMG) Common Warehouse Metamodel (CWM) XML Metadata Interchange (XMI) file format.

SAS® Data Integration (DI) provides an effective tool for visual designing. It works irrespective of any data source, platform or the applications and allows to build, implement and manage data with ease. It also improvises the changes that are likely to happen during a data integration process. It captures the information from any source and displays it easily to the users.

SAS Data Integration online training course offered by Multisoft Virtual Academy is imparted with the expert trainers from the industry. Its purpose is to let the candidates know about the architecture of the platform for SAS® Business Analytics, using register tables wizard to register source data, importing and exporting of relational metadata.

• SAS Data Integration Studio online tutor-led training - Course Syllabus - download

SAS DATA INTEGRATION STUDIO – course curriculum

Objective

Details

Overview

- Define the architecture of the platform for SAS Business Analytics.
- Describe the available interfaces including:

• SAS Data Integration Studio
• DataFlux Data Management Studio

- Define the change management feature of SAS Data Integration Studio.
- Discuss the DataFlux Data Management Server.

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.

- 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.

• Discuss SAS packages.
• Discuss importing and exporting of relational metadata.

Creating Metadata for Target Data and Jobs

- Describe features of the New Table wizard.
- Discuss components of Join's Designer window including:

• Navigate pane
• SQL clauses pane
• Tables pane
• Properties pane

- Investigate mapping and propagation.
- Work with performance statistics.

• Enable/disable performance statistics.
• Be able to view performance statistics.

- Generate reports on metadata for tables and jobs.
- Define Impact and Reverse Impact Analysis.
- Import SAS code.

• Import macro-based SAS code.

Working with Transformations

- Discuss and use the Extract and Summary Statistics transformation.
- Discuss and use the Loop transformations.

• Iterate a job.
• Iterate a transformation.

- Investigate where status handling is available.
- Explain the functionality of the Data Validation transformation.

• Identify and configure the three types of validations.
• Configure an error table and an exception table for data validation.

- Discuss and use the Rank, Transpose, Append, List and Sort transformations.
- Discuss and use the Apply Lookup Standardization transformation.
- Discuss and use the Compare Tables transformation.
- Discuss and use transformations in the SQL grouping of transformations.
- Apply and use the Standardize with Definition transformation.

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.
- Discuss the Bulk Table Loader transformation.
- Discuss and use the components of the Join’s Designer Window related to in database processing.

Working with Slowly Changing Dimensions

- List the functions of the SCD Type 2 transformation.
- Define keys. (business, surrogate, and retained)
- Detect and track changes.
- Discuss the Lookup transformation.
- Discuss the SCD Type 1 Loader.

Defining Generated Transformations

- Define SAS code transformation templates.
- Create a custom transformation

Deploying Jobs

- Discuss the types of job deployment available for SAS Data Integration Studio Jobs.
- Provide an overview of the scheduling process.
- Discuss the types of scheduling servers.
- Discuss the Schedule Manager in SAS Management Console.
- Discuss batch servers.
- Describe deployment of SAS Data Integration Studio jobs as a SAS Stored Process.

In Database Processing

- Define in- database processing

• List benefits of in-database processing

- Enable in-database processing.
- Define and discuss ELT methods
- Use a DBMS function in a SAS DI job

Anyone who wants to make a successful career in SAS.

Passion and determination to achieve your goals!

• SAS Di Developer
• SAS Data Integration Engineer
• SAS data integration application developer

Uplatz Certificate of Completion

Digital certificate - Included