|AWS Releases Amazon Kinesis Analytics|
New analytics service makes it easy for developers to get actionable insights from streaming data in real-time
Today’s digital businesses generate massive quantities of streaming data from diverse sources such as website and mobile app click-streams, sensors embedded in connected devices, and IT system log files. Being able to continuously query and gain insights from this information in real-time – as it arrives – can allow companies to respond more quickly to business and customer needs. However, existing data processing and analytics solutions aren’t able to continuously process this “fast moving” data, so customers have had to develop streaming data processing applications – which can take months to build and fine-tune – and invest in infrastructure to handle high-speed, high-volume data streams that might include tens of millions of events per hour. Now, with Kinesis Analytics, continuously querying streaming data in real-time is as simple as writing SQL queries. Kinesis Analytics integrates with Kinesis Streams and Kinesis Firehose and can automatically recognize standard data formats within data streams and suggest a schema, which is easy to edit using Kinesis Analytics’ interactive schema editor. Kinesis Analytics automatically provisions, deploys, and scales the resources required to continuously run queries, delivering processed results directly to AWS services, including Amazon Simple Storage Service (Amazon S3), Amazon Redshift, and Amazon Elasticsearch Service.
“AWS’s functionality across big data stores, data warehousing,
distributed analytics, real-time streaming, machine learning, and
business intelligence allows our customers to readily extract and deploy
insights from the significant amount of data they’re storing in AWS,”
Customers can get started with Amazon Kinesis Analytics in minutes by going to the AWS Management Console and selecting a Kinesis Streams or Kinesis Firehose data stream. Kinesis Analytics ingests the data, automatically recognizes standard data formats, and suggests a schema that can be refined using the interactive schema editor. Next, customers use the Kinesis Analytics SQL editor and built-in templates to write SQL queries, and point to where they want Kinesis Analytics to load the processed results. Kinesis Analytics takes care of everything required to continuously query streaming data, automatically scaling to match the volume and throughput rate of incoming data while delivering sub-second processing latencies.
MLB Advanced Media (MLBAM) is a full service solutions provider that
delivers world-class digital experiences through all forms of
interactive media. “We capture telemetry and clickstream data from our
video streaming clients using Amazon Kinesis Streams. We process that
data in real-time to monitor the video streaming experience we provide
our customers,” says
JustGiving is one of the world’s largest social platforms for giving
that’s helped 27.7 million users in 196 countries raise
Customers can launch Kinesis Analytics using the AWS Management Console,
AWS Command Line Interface (CLI), or AWS SDKs. With Kinesis Analytics,
customers pay only for the resources that their stream processing
applications actually use. There is no minimum fee or setup cost.
About Amazon Web Services
For 10 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud platform. AWS offers over 70
fully featured services for compute, storage, databases, analytics,