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Self-Service Data Preparation in SAS Viya

( Duration: 2 Days )

This Self-Service Data Preparation in SAS Viya training course provides an overview of the analytic data preparation capabilities of SAS Data Preparation in SAS Viya. These self-service data preparation capabilities include bringing data in from a variety of sources, preparing and cleansing the data to be fit for purpose, analyzing data for better understanding and governance, and sharing the data with others to promote collaboration and operational use.

By attending Self-Service Data Preparation in SAS Viya workshop, delegates will learn to:

  • Ingest and blend data from a variety of data sources
  • Visually analyze and profile data for better understanding of quality issues
  • Collaborate and share data on data management projects
  • Wrangle data in a self-service data preparation environment with no coding skills
  • Leverage custom sas code when preparing analytic-driven data
  • Examine relationships between data to assess impact and aid in governance
  • Create and schedule repeatable workflows to automate time-consuming data preparation tasks.

The Self-Service Data Preparation in SAS Viya class is ideal for:

  • 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

COURSE AGENDA

1

Introduction to sas viya and sas data preparation

  • Overview of sas viya and its capabilities
  • Understand the critical capabilities of analytic data preparation
  • Understand the capabilities of sas data preparation to create analytic-driven data
2

Discover, ingest, and explore data

  • Understand best practices and effective data ingestion considerations for exploring data
  • Ingest and filter data from a variety of sources, including sas data sets and social media
  • Profile data to better understand the quality and structure
3

Self-service data preparation for analytics-ready data

  • Create and manage target tables and their columns
  • Cleanse data using data quality transforms that leverage the sas quality knowledge base (qkb)
  • Create data preparation plan files to track, view, and modify changes made to data
4

Transform data into analytics-ready data

  • Manage and aggregate target table columns
  • Leverage sas functions and cas action sets
  • Cleanse data using data quality transforms and the sas quality knowledge base
  • Filter and transpose table data rows
  • Create data preparation plan files to track and schedule data preparation tasks
5

Data governance and lineage

  • Explore relationships among data sources, data objects, and actions taken on data
  • Analyze data object dependencies to determine impact analysis
  • Trace data curation pipeline activity

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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