SAS - Data Curation for SAS Data Scientists

Curriculum

Module 1: Working with SAS Data Integration Studio (20%)

• Describe SAS Data Integration Studio basics
• Create Metadata for Source Data
• Create Metadata for Target Data and Jobs

Module 2: Ensure the accuracy of data (20%)

• Describe the structure of the SAS Quality Knowledge Base
• Use DataFlux Data Management Studio
• Use SAS Data Quality Server

Module 3: Techniques for Working with Big Data (40%)

• Describe the key concepts of the Hadoop ecosystem (Aligns with BDP2 objective 3.1) J. S.
• Query and manage Hadoop data using Hive and HiveQL (Aligns with BDP2 objective 3.3) J.S.
• Query and Manage Hadoop Data using Pig and Pig Latin
• Access HDFS and Invoke Hadoop Applications from SAS
• Use the SAS/ACCESS SQL Pass-thru Facility
• Use the SAS/ACCESS Libname Engine
• Use DS2 Programming to manage Hadoop data
• Use SAS Data Loader to manage Hadoop data

Module 4: Special Data Management Topics (20%)

• Connect to data using SAS/ACCESS
• Virtualize data with SAS Federation Server
• Process IoT Streams in Real Time with SAS Event Stream Processing
• Work with SAS Data Governance technologies