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SAS® Viya is a cloud-based, distributed analytics platform that allows SAS programmers to process and analyze large datasets efficiently using the in-memory processing capabilities of the Cloud Analytic Services (CAS) engine. For those aiming to demonstrate their expertise in managing, manipulating, and analyzing big data in the SAS Viya environment, the SAS programming certification exam focuses on using the full power of the CAS server. Successful candidates will prove their ability to write SAS code that interacts with CAS tables, data sources, and various CAS features for large-scale data analysis.
One of the core skills tested in this certification is the ability to work with CAS tables and data sources. As data is stored in the CAS engine, programmers need to know how to load, manage, and access these tables for processing. This means being familiar with how CAS works differently from traditional SAS data sets, as it is in-memory and optimized for distributed computing. Candidates must demonstrate their ability to efficiently load data into CAS and interact with it at scale, ensuring high performance in their SAS programs.
In addition to working with CAS tables, candidates should also be proficient in modifying DATA step and SQL programs to run in the CAS environment. Since data processing in Viya occurs in parallel across multiple nodes, SAS programmers must understand how to adapt their traditional programming methods to take full advantage of the distributed nature of CAS. Using CAS-enabled procedures is an essential part of this process, as these procedures are optimized for running in CAS and are crucial for tasks like data summarization, transformation, and analysis.
Another key skill is the use of user-defined formats in CAS. Formats are essential for controlling how data is displayed in reports and analyses. With CAS, candidates need to be able to create and apply custom formats that ensure consistent data representation across various processes and outputs. This skill is critical for delivering accurate and meaningful insights from large datasets.
Moreover, candidates should be familiar with the CAS programming language (CASL), which is a specialized language designed to interact with data in the CAS environment. CASL allows programmers to execute data manipulations directly in CAS without relying on traditional SAS syntax. This is especially valuable when working with large, distributed datasets that require efficient processing.
Lastly, using CAS actions to interact with data is an important aspect of the certification. CAS actions are a series of commands and functions that enable direct manipulation and interaction with data stored in CAS. Mastery of CAS actions is crucial for efficiently performing operations such as filtering, aggregating, and transforming large datasets in a distributed computing environment.
In conclusion, the SAS certification for working with CAS in SAS Viya demonstrates the ability to harness the full power of the CAS engine for large-scale data analysis. By mastering key skills such as modifying SAS programs to work with CAS, using CAS procedures and actions, and leveraging the CAS programming language, candidates will be well-equipped to manage and analyze data at scale in the SAS Viya environment. This certification is ideal for SAS programmers seeking to enhance their data management and analysis capabilities in a cloud-based, distributed analytics platform.
