Held in Las Vegas November 28-December 2, AWS re:Invent is the largest annual conference hosted by Amazon Web Services (AWS) for the global technology community. 24,000 attendees are expected to tap into the cloud strategies, solutions and insights developed by AWS and its partners in the AWS Partner Network (APN). Participants will be able to engage in hands-on labs and bootcamps showcasing ways to improve developer productivity, network security, and application performance.
SQLstream can be found at booth #134, where our team of engineers will demonstrate and discuss Blaze, a distributed platform for flexible development and deployment of scalable stream processing, reusable analytic operations, and applications. Additionally, SQLstream will demonstrate and discuss the SQLstream Blaze Adapter for Amazon Kinesis Analytics. The SQLstream Blaze Adapter enables businesses to securely and cost-effectively ingest, analyze, and manage streaming data on and between cloud and on-premises environments.
“The store-before-query analytics and conventional ETL models are irrelevant in a world where streaming analytics can empower businesses to take the next right action, continuously and real time”, said Damian Black, SQLstream CEO. “The combination of Amazon Kinesis Analytics and SQLstream Blaze makes it easier than ever for businesses to securely and cost-effectively ingest, analyze, and manage streaming data on and between public cloud, private cloud, and on premises.”
SQLstream empowers people, services, and machines to take the next right action, continuously and in real time. SQLstream has designed its streaming analytics platform to enable anyone to create real-time applications from raw data in minutes, that deliver streaming data ingestion, streaming analytics, and live actions. SQLstream offers the only solution enabling businesses to continuously respond to changing conditions, every moment. SQLstream is based in San Francisco, California.
For more information, visit http://sqlstream.com/demo/amazon-kinesis-adapter_cloud-analytics/.