Self-Service Data Preparation in SAS® Viya®

Cílová skupina

Business and data analysts, data miners, data scientists, citizen data scientists, statisticians, and others who interact with data from a variety of sources to perform data discovery, wrangling, blending, and manipulation to ensure that the data is fit for purpose in analytical models, explorations, and reports

Struktura kurzu

Overview of Data Preparation in SAS Viya

• Overview of SAS Viya and its capabilities.
• Understand the analytics life cycle.
• Understand the data preparation tools in SAS Viya and how they fit into the analytics life cycle.

Accessing, Importing, and Loading Data

• Manage data using SAS Data Explorer.
• Create data source connections.
• Load and import data from caslibs and files local to the browser.
• Enrich tables with Esri geoenrichment and geocode data.

Assessing Data Structure and Quality

• Generate profiles in SAS Data Explorer.
• Assess data with SAS Information Catalog.

Transforming Data for Analytics

• Introduction to SAS Data Studio and plans.
• Use suggestions to prepare data.
• Prepare data using column transforms.
• Use custom code to transform and aggregate data.
• Cleanse data using data quality transforms.
• Blend data using multi-input transforms.
• Restructure and filter data using row transforms.

Governing Data and Managing Jobs

• Monitor object relationships using SAS Lineage Viewer.
• Schedule and monitor SAS Viya jobs and job flows in the SAS environment.