SAS Big Data Programming and Loading
Exam Content Guide
Below we provide a list of the objectives that will be tested on the exam.
For more specific details about each objective download the complete exam content guide.
SAS and Hadoop - 30%
- Describe the baseline requirements for interacting with Hadoop
- Use the HADOOP procedure and the Hadoop FILENAME statement to interact with Hadoop from a SAS session
- Query and manage Hive tables stored in Hadoop using explicit SQL pass-through
- Work with Hadoop files using the SAS/ACCESS LIBNAME statement
SAS DS2 Programming - 30%
- Write DS2 programs
- Read data using DS2
- Work with variables, arrays, and ANSI SQL data types
- Use expressions and functions in DS2 programs
- Work with Methods, Packages, and Threads
Hadoop Programming - 15%
- Describe the Hadoop architecture
- Manipulate and load data files using command line tools
- Write Hive programs to create, join, and query data tables
- Write Pig programs to perform ETL tasks and to analyze large data sets
Data manipulation with the IMSTAT procedure - 25%
- Execute IMSTAT procedures
- Perform actions required to produce graphs with PROC IMSTAT
- Manipulate In-Memory Data
- Use High-Performance procedures with the SAS LASR Analytic Server
