With intentions of helping developers to build applications that offer insights from a fire hose of data in real time, Amazon launched a new tool Kinesis Analytics. Expanding the reach of the popular data analysis language beyond conventional database applications the new tool will help user’s setup SQL queries that run on data that updates frequently.
Including Redshift, Amazon S3, and Elastic search Service the result can be routed to four different services once the user has setup the Kinesis Analytics stream. To bring in data from constantly shifting sources in real time such as live data from stock market and sensor information from IoT, this service will be useful.
For data analytics and developers the launch of Kinesis Analytics is a big thing. Bringing the SQL which is one of the biggest skill sets out there according to a survey to Kinesis will be well received. The queries running on a processing window blocks off a particular subset of all incoming data. Three types of windows are supported by the company targeting at supporting the applications like computing rolling averages from a persistently updating data set or analyzing the frequency of requests over a particular period of time.