High-Performance Data Processing with CASL in SAS(R) Viya(R)
In this course, you learn how to leverage SAS Cloud Analytics Services (CAS), the high-performance, in-memory analytics and distributed computing engine in SAS Viya. 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.
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Experienced programmers interested in efficiently processing big data using SAS Viya
Course structure
Introduction
- Introduction.
CAS Language (CASL) Fundamentals
- Introduction to CASL.
- CASL CAS actions.
- CASL numeric and string variables.
- CASL arrays.
- CASL dictionaries.
Connecting to CAS and Accessing Data
- Exploring the CAS connection.
- Exploring and accessing data sources.
- Managing in-memory tables.
Exploring and Validating Data
- Exploring table structure.
- Characterizing data.
- Validating data.
Preparing Data
- Introduction to data preparation.
- Modifying tables and values.
- Data preparation actions.
- Using SQL in CAS.
Summarizing and Analyzing Data
- Introduction to summarizing and analyzing.
- Summarizing data with actions.
- Visualizing and reporting.
- Getting the best performance.
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.
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