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| Section | Weight | Objectives |
|---|---|---|
| Ensure the Accuracy of Data | 20% | - Use SAS Data Quality Server - Use DataFlux Data Management Studio - Describe the structure of the SAS Quality Knowledge Base |
| Techniques for Working with Big Data | 40% | - Use SAS Data Loader to manage Hadoop data - Use the SAS/ACCESS Libname Engine - Query and manage Hadoop data using Pig and Pig Latin - Use DS2 Programming to manage Hadoop data - Describe key concepts of the Hadoop ecosystem - Use the SAS/ACCESS SQL Pass-thru Facility - Query and manage Hadoop data using Hive and HiveQL |
| Working with SAS Data Integration Studio | 20% | - Create Metadata for Source Data - Create Metadata for Target Data and Jobs - Describe SAS Data Integration Studio basics |
| Special Data Management Topics | 20% | - Virtualize data with SAS Federation Server - Connect to data using SAS/ACCESS - Process IoT streams in real time with SAS Event Stream Processing - Work with SAS Data Governance technologies |
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