What is Base SAS?

It is a 4GL programming used for transformation, data access, analysis and reporting. Base SAS is designed for basic data manipulation, descriptive analysis, data storage management, and documentation. Base SAS Online Training provides more benefits for your career advancement.

Features of Base SAS:

Flexible 4GL:

  • Base SAS can be accessed using a familiar Python interface. The SAS pipefitter package includes a Python API for creating pipelines that translate and execute SAS code in the background. The pipefitter package is available for free on GitHub.
  • SAS macros allow you to modularize work for easier reuse and maintenance, reducing coding for frequent operations. It may be executed manually or in batch mode, and the code is flexible across various IT settings.
  • Another SAS programming language, DS2, is included with the SAS Platform. It enables you to manipulate data within databases to reduce data migration and enhance efficiency.
  • Users can resubmit a failed program in restart mode to finish performance, starting with the step which did not finish when the error happened.

Support Cross-Platforms:

  • Structured Query Language support functioning language. XML maps are created using a drag-and-drop interface.
  • The capabilities of analysis range from simple descriptive statistics to complex data correlations for data interrogation.
  • Base SAS now includes geographic data manipulation algorithms such as GEOCODE, PROJECT, and MAPIMPORT.
  • Globalization with complete support for the most popular character encodings. SAS has Unicode compatibility, allowing it to work with data in different languages across all platforms.

Scalability and Performance:

  • Parallel optimization allows you to work with large amounts of data in a short time. Data can be partitioned between devices to allow for faster access, although it is still referred to as a single data set. The construction of many indexes in parallel lowers the time required to create big data sets with numerous indices or to append data to existing data sets.
  • SAS execution environment support for Pig, MapReduce, and HDFS operations. Multithreading is used in key SAS routines to speed up the execution of standard activities like sorting and data summarising.
  • SAS format catalogues can be published and assembled within databases, allowing formats to be applied to actual data values during query execution.

FITA Academy's Base SAS Online Course will be your career establishing course.