This category serves as the ultimate toolkit for Data Engineers and SAS
© architects focused on performance and efficiency. It centers on optimizing data pipelines (
ETL), from initial ingestion to final preparation for analytics.
Here you will find advanced techniques to modernize your workflows, whether you are operating in
SAS© 9 or
SAS© Viya™ (CAS):
Data Ingestion & Export: Master the handling of flat files (CSV, XML, Excel) and Cloud interactions (PROC
CASUTIL, ZIP loading, encoding management).
Performance & Optimization: Learn how to create composite indexes, compress in-memory data, partition for parallel computing, and utilize Bulk Loading for external databases (Snowflake, Redshift,
Hadoop).
Advanced Manipulation (
Data Step & SQL): Techniques for complex joins, transaction management (modify, update), deduplication, and data cleansing.
Interoperability: Connectors for external databases, REST API calls, and data type optimization (VARCHAR vs. CHAR).
These resources are designed to transform slow, fragile data pipelines into robust, high-speed data architectures.