SAS Event Stream Processing

This course teaches you how to build SAS Event Stream Processing applications that ingest and analyze high-volume and high-velocity data streams, respond in real time, and store only relevant data elements. The course discusses basic concepts of event stream processing. You learn what component objects are available to build event stream processing applications. In addition, you learn how to use the graphical Studio interface and the code-based XML

The self-study version of this course contains structured course notes that provide a detailed overview and exercises and that help you develop essential skills. There is also a Virtual Lab that enables you to practice what you learn in the course.

The e-learning includes the following:

• digital course notes for self-study
• Virtual Lab: 20 hours of hands-on software practice.
• interface to build Event Stream Processing applications

Apprendre à

• describe the architecture of SAS Event Stream Processing
• design and write SAS Event Stream Processing models
• build applications that use the SAS Event Stream Processing engine
• use SAS Event Stream Processing connectors, adapters, and the publish/subscribe APIs to read data from, and write data to, various event stream formats
• explain the concepts behind event stream processing transformations
• identify the analytical capabilities in SAS that you can use to process the results from SAS Event Stream Processing.

A qui s’adresse cette formation ?

Data stewards, data analysts, and data scientists who need to analyze and transform streaming data while it is still in motion

Formats de formation disponibles	Durée standard (peut varier selon les sessions. Se référer au calendrier)
Formations présentielles:	2.0 jours
Formations à distance:	4 sessions d'une demi-journée chacune
e-Learning:	14 heures/180 jour licence

Télécharger le descriptif de formation

Familiarity with XML and familiarity with the UNIX/Linux command line interface are required.

Cette formation concerne SAS Data Quality Solution, SAS Analytics Platform logiciel

Introduction to SAS Stream Event Processing

• define event streams and the Internet of Things
• identify the purpose of SAS Event Stream Processing

SAS Event Stream Processing Models

• describe the SAS Event Stream Processing model hierarchy
• define projects and continuous queries
• identify windows and edges
• summarize the publish and subscribe facilities

SAS Event Stream Processing Studio

• describe the main model development functions of SAS Event Stream Processing Studio
• explain the function of the XML Factory Server
• use SAS Event Stream Processing Studio to edit existing models and to develop new models

Event Transformations

• describe SAS Event Stream Processing transformations and windows
• explain the use of indexes
• describe the Source, Union, and Filter windows
• describe the SAS Event Stream Processing operation codes
• explain the canonical set of events
• describe the Compute, Copy, Aggregate, and Counter windows

Inputs and Outputs

• describe the Publish and Subscribe system in SAS Event Stream Processing
• list available connectors and adapters
• identify the Publish and Subscribe parameters
• define the SAS LASR Analytic Server adapter
• demonstrate the LASR adapter usage
• identify the CAS adapter and describe its usage

Advanced Event Transformations

• describe the capabilities of the Join window
• illustrate the importance of connector orchestration
• introduce connector groups
• introduce the Pattern window
• introduce pattern matching
• introduce the Procedural window
• discuss design patterns