The SAS and Hadoop training course teaches delegates on how to use SAS programming methods to read, write, and manipulate Hadoop data. Base SAS methods that are covered include reading and writing raw data with the DATA step and managing the Hadoop file system and executing Map-Reduce and Pig code from SAS via the HADOOP procedure. In addition, the SAS/ACCESS Interface to Hadoop methods that allow LIBNAME access and SQL pass-through techniques to read and write Hadoop HIVE or Cloudera Impala tables structures is part of this course. Although not covered in any detail, a brief overview of additional SAS and Hadoop technologies, including DS2, high-performance analytics, SAS LASR Server, and in- memory Statistics, as well as the computing infrastructure and data access methods that support these, is also part of this course.
By attending SAS and Hadoop workshop, delegates will learn to:
- Access Hadoop distributions using the LIBNAME statement and the SQL pass-through facility
- Create and use SQL procedure pass-through queries
- Use options and efficiency techniques for optimizing data access performance
- Join data using the SQL procedure and the DATA step
- Read and write Hadoop files with the FILENAME statement
- Execute and use Hadoop commands with PROC HADOOP
- Use Base SAS procedures with Hadoop
- invoke execution of MapReduce programs and Pig programs in Hadoop within a SAS program
- Write programs to create source data for SAS High Performance Analytics programs and execute SAS High Performance Analytics programs to analyze the data in parallel
- Write SAS programs to start up a SAS LASR server grid, load data into memory in parallel and process that data in parallel with the IMSTAT procedure
Comfortable programming in SAS and Structured Query Language (SQL).
This SAS and Hadoop class is suitable for SAS programmers who need to access data in Hadoop from within SAS.