The availability of Amazon Kinesis Analytics for continuously querying streaming data using standard SQL

Steadily and surely, big data stores, data warehousing, distributed analytics, real-time streaming, machine learning, and business intelligence allows companies and developers to readily extract and deploy actionable insights from the significant amount of data.

In effect, today’s digital businesses generate massive quantities of structured and unstructured data, including streaming data from diverse sources such as website and mobile app click-streams, sensors embedded in connected devices, and IT system log files.

Amazon Web Services, Inc. (AWS), an Amazon.com company taps into this reality with AmazonKinesis Analytics, its new analytics service which helps developers to get actionable insights from streaming data in real-time.

 

As a fully managed service for continuously querying streaming data using standard SQL, using Kinesis Analytics, developers can write standard SQL queries on streaming data and gain actionable insights in real-time, without having to learn any new programming skills. 

One can also recall that, 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. 

You can launch Kinesis Analytics using the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. 

Kinesis Analytics is available in the US East (N. Virginia), US West (Oregon), and EU (Ireland) Regions and will expand to additional Regions in the coming months.