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Data Curation for SAS Data Scientists

Exam Content Guide

Below we provide a list of the objectives that will be tested on the exam.
For more specific details about each objective download the complete exam content guide.

Data Curation

During the testing of these objectives; you will be expected to perform common tasks, such as:

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

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

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

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

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