In this course, you learn how to leverage SAS Cloud Analytic Services (CAS), the high-performance server that provides the run-time environment for data management and analytics on the SAS Viya platform. You learn how to access, explore, prepare, analyze, and summarize data using the native CAS programming language (CASL). CASL is a new scripting language designed to support the entire analytics life cycle.
Learn How To
Understand and use various SAS Viya servers.Leverage the CAS language to manipulate data and automate processing.Connect to the CAS server to access and manage data.Explore and validate data.Manipulate and update data.Programmatically create reports and visualizations using SAS Viya and the SAS Output Delivery System (ODS).Who Should Attend
Experienced programmers interested in efficiently processing big data using SAS Viya
Prerequisites
Before attending this course, you should have the following:;
An understanding of fundamental computer programming concepts.At least one year of programming experience with a modern language (SAS, R, Python, SQL, and so on).At least one year of experience working with data.Experience using an integrated development environment (IDE) to develop code.;This course is not appropriate for inexperienced programmers or users who do not have experience programming or working with data.SAS Products Covered
SAS Viya
Course Outline
Introduction
Introduction.CAS Language (CASL) FundamentalsIntroduction to CASL. CASL CAS actions. CASL numeric and string variables. CASL arrays. CASL dictionaries.Connecting to CAS and Accessing DataExploring the CAS connection. Exploring and accessing data sources. Managing in-memory tables.Exploring and Validating DataExploring table structure. Characterizing data.Validating data.Preparing DataIntroduction to data preparation. Modifying tables and values. Data preparation actions. Using SQL in CAS.Summarizing and Analyzing DataIntroduction to summarizing and analyzing. Summarizing data with actions. Visualizing and reporting. Getting the best performance.