This course teaches you how to build SAS Event Stream Processing applications that ingest 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 SAS Event Stream Processing Studio interface and the code-based SAS Event Stream Processing XML interface to build event stream processing applications.

Lernen Sie, wie Sie / Learn how to

• Describe the architecture of SAS Event Stream Processing.
• Develop and test SAS Event Stream Processing applications using the XML interface as well as the SAS Event Stream Processing Studio interface.
• Execute SAS Event Stream Processing applications from a command line interface.
• Use SAS Event Stream Processing connectors and adapters to read data from, and write data to, various event stream formats.
• Explain the concepts behind SAS Event Stream Processing transformations.
• Use the transformations to ingest, filter, join, and aggregate event streams.
• Use additional transformations to execute external routines against event streams and to detect patterns in event streams.
• Discuss performance optimizations.

Zielgruppe / Who should attend

Developers and architects who design and create applications that process IoT (Internet of Things) streams in real time, as well as data scientists and analysts who need to gain insights from streaming data while it is in motion

Verfügbare Schulungsformen / Formats available	Dauer (kann variieren, Details s. Terminliste)
Präsenzkurs:	2.0 Tage
Live Web Class:	14 Stunden	Systemvoraussetzungen

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

In diesem Kurs wird mit folgenden Software Modulen gearbeitet / This course addresses SAS Event Stream Processing Software

Introduction to SAS Stream Event Processing

• Define event streams and the Internet of Things (IoT).
• Explain the purpose of SAS Event Stream Processing.
• Identify the components 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 ESP Server.
• Use SAS Event Stream Processing Studio to develop and test projects.

Event Transformations

• Describe SAS Event Stream Processing transformations and windows.
• Explain the use of indexes.
• Describe and demonstrate the Source, Union, and Filter windows.
• Describe the SAS Event Stream Processing operation codes.
• Explain the canonical set of events.
• Describe and demonstrate 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 and demonstrate the SAS LASR Analytic Server adapter.
• Define and demonstrate the SAS Cloud Analytic Services adapter.

Advanced Event Transformations

• Describe and demonstrate the capabilities of the Join window.
• Define and demonstrate connector orchestration.
• Introduce and demonstrate the Pattern window.
• Describe pattern matching with events of interest and logic expressions.
• Introduce and demonstrate the Procedural window.
• Introduce the Calculate window.
• Discuss SAS Event Stream Processing design patterns and application performance tuning.