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WSO2 Data Analytics Server 3.0.0 combines real-time, batch, interactive, and predictive (via machine learning) analysis of data into one integrated platform to support the multiple demands of Internet of Things (IoT) solutions, as well as mobile and Web apps as illustrated by the image below.

types of analytics supported by WSO2 DAS

 

As a part of WSO2’s analytics platform, WSO2 DAS introduces a single solution with the ability to build systems and applications that collect and analyze both realtime and persisted, data and communicate the results. It is designed to treat millions of events per second, and is therefore capable to handle Big Data volumes and Internet of Things projects.

WSO2 DAS 3.0.0 workflow consists of the following three main phases.

Aggregating data

WSO2 DAS exposes a single API for external data sources to publish data events to it. Further, it provides configurable options to either process the data event stream inflow (in memory) for realtime analytics, to persist (in data storage) for batch analytics and/or to index for interactive analytics as shown in the below diagram.

aggregating data

Creating event stream definitions

The first step in aggregating data is defining an event stream by creating the event stream definition. A stream definition provides the initial structure and identification required for event processing. It includes a set of data types as properties, name ,version and other attributes. When  an external data publisher sends data events to WSO2 DAS (the receiver), it needs to specify the name and version of the stream intended. Also, data events should be sent according to the structure defined in the stream definition.

 


 

 

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