SAS Studio : A web-based integrated development environment (IDE) for writing and executing SAS programs, as well as accessing data, creating reports, and performing analytics

SAS Enterprise Guide : A point-and-click interface for SAS programming and data analysis, offering features for data exploration, manipulation, visualization, and reporting.

SQL in SAS : Utilizing Structured Query Language (SQL) within SAS for querying and manipulating data in relational databases, performing joins, aggregations, and transformations.

SAS Viya Platform : SAS's cloud-native analytics platform that enables scalable and distributed data processing, advanced analytics, machine learning, and model deployment.

SAS Cloud Analytic Services (CAS) : A cloud-based, in-memory analytics engine that provides distributed computing capabilities for processing large-scale datasets and performing complex analytics tasks.

CASLIBs : Libraries in CAS that allow users to organize and access data stored on the CAS server, including SAS datasets, Parquet files, CSV files, Excel files, and database tables.

Parquet Files : A columnar storage format optimized for analytics workloads, commonly used for storing and processing large datasets efficiently.

CSV Files : Comma-separated values files used for storing tabular data in plain text format, widely supported by various data analysis tools and platforms.

Database Management Systems (DBMS) : Platforms for storing, managing, and querying structured data, including relational database systems such as Oracle, SQL Server, MySQL, and PostgreSQL.

SASHDAT Format : SAS proprietary binary format for storing SAS datasets, providing efficient storage and retrieval of data within SAS environments.

SAS Procedures and Functions : Built-in procedures and functions in SAS for performing various data manipulation, analysis, and reporting tasks, such as summarizing data, creating custom formats, and merging datasets.

Macro Variables and Macro Programs : SAS's macro language for automating repetitive tasks, generating dynamic code, and parameterizing SAS programs.

SAS Data Integration Studio : Knowledge of building and managing data integration processes for efficient data workflows.