WSO2 Data Analytics Server (DAS) listens to a constant stream of events that represents the transactions and activities of an enterprise from different sources, processes them in real time and communicates the results in a variety of interfaces. This allows organisations to respond quickly to their environments, thus gaining an advantage over their competitors. In addition, WSO2 DAS combines real-time analytics with batch (equipped with incremental processing), 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.
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.
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Creating event receivers
Analyzing data
You can configure any data event stream received by WSO2 DAS for real time and/or batch analytics.
Realtime analytics
You can process the event streams inflow through the WSO2 real time analytics engine which is powered by Siddhi. The realtime analytic engine can process multiple event streams in realtime. For this, you need to specify a set of queries or rules using the SQL like Siddhi Query Language in an execution plan. Execution plan is the editor for the event processing logic. An execution plan consists of a set of queries and import and export streams. For more information see the following sections.
Batch and interactive analytics
Spark console
You can obtain faster results by executing adhoc queries on the indexed attributes through an interactive Web console, named as the Batch Analytics Console.
Event publishers
Event publishers provide the capability to send event notifications and alerts from WSO2 DAS to external systems. For more information, see Creating Alerts.
Event flow
You can use the Event Flow feature of WSO2 DAS to visualize how the components of it are connected with each other. Also, you can use it to validate the flow of the events within the DAS.
Event simulation
Event Simulator is a tool which you can use for monitoring and debugging event streams. You need to create event(s) by assigning values to event stream attributes to simulate them. For more information, see Publishing Data Using Event Simulation.
Data Explorer
The Data Explorer is the Web console for searching analytical data. Primary key, data range, facet search are some available options for simple analytical record searches. It is also possible to search records by providing Lucene queries for advanced searches. For more information, see Data Explorer.
Predictive analytics
You can perform predictive analytics for data in WSO2 DAS by integrating it with WSO2 ML. This integration allows WSO2 ML to use an Analytics table in WSO2 DAS as a dataset and make predictions/recommendations using that data by applying Machine Learner algorithms.
Communicating results
WSO2 DAS uses several presentation mechanisms to present event notifications and processing results. For more information, see Communicating Results.
Analytics Dashboard
WSO2 DAS provides an Analytics Dashboard for creating customizable dashboards for visualization of analytical data. Dashboard creation is wizard driven, where you can use widgets/gadgets such as line, bar, and arc charts to get data from analytical tables and add them on a structured grid layout to provide an overall view. For more information, see Analytics Dashboard.