Amazon Kinesis is a fully managed, cloud-based service for real-time data processing over large, distributed data streams. Customers who use Amazon Kinesis can continuously capture and process real-time data such as IoT sensor data, website clickstreams, financial transactions, social media feeds, IT logs, location-tracking events, and more. Roy Ben-Alta explores the Amazon Kinesis platform in detail and discusses best practices for scaling your core streaming data ingestion pipeline as well as real-world customer use cases and design pattern integration with Amazon Elasticsearch, AWS Lambda, and Apache Spark.
Roy Ben-Alta is the big data analytics business development manager at Amazon Web Services, where he works with AWS customers in building data-driven products, whether batch or real time, and creating analytics solutions in the cloud. Roy has worked in the data and analytics industry for over a decade and has helped hundreds of customers bring compelling data-driven products to the market.
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