Category: Kinesis Data Analytics

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces you don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. Amazon Keyspaces is serverless, so you only pay for the resources that you use. You can use […]

Amazon Kinesis Data Analytics Studio makes it easy for customers to analyze streaming data in real time, as well as build stream processing applications powered by Apache Flink using standard SQL, Python, and Scala. Just a few clicks in the AWS Management console lets customers launch a serverless notebook to query data streams and get […]

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data and gain actionable insights in real time with Apache Flink. Apache Flink is an open-source framework and engine for processing data streams in real time. Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications using open-source libraries and […]

Nearly all businesses today require some form of data analytics processing, from auditing user access to generating sales reports. For all your analytics needs, the Data Analytics Lens for AWS Well-Architected Framework provides prescriptive guidance to help you assess your workloads and identify best practices aligned to the AWS Well-Architected Pillars: Operational Excellence, Security, Reliability, […]

Amazon Kinesis Data Analytics Studio makes it easy to analyze streaming data in real time and build stream processing applications powered by Apache Flink using standard SQL, Python, and Scala. With a few clicks on the AWS Management Console, you can launch a serverless notebook to query data streams and get results in seconds. Kinesis […]

This post presents a reference architecture and optimization strategies for building serverless data analytics solutions on AWS using Amazon Kinesis Data Analytics. In addition, this post shows the design approach that the engineering team at NortonLifeLock took to build out an operational analytics platform that processes usage data for their VPN services, consuming petabytes of […]

Before the release of Amazon Kinesis Data Analytics Studio, customers relied on Amazon Kinesis Data Analytics for SQL on Amazon Kinesis Data Streams. With the release of Kinesis Data Analytics Studio, data engineers and analysts can use an Apache Zeppelin notebook within Studio to query streaming data interactively from a variety of sources, like Kinesis […]

Amazon Kinesis Data Analytics Studio makes it easy to analyze streaming data in real time and build stream processing applications using standard SQL, Python, and Scala. With a few clicks on the AWS Management Console, you can launch a serverless notebook to query data streams and get results in seconds. Kinesis Data Analytics reduces the […]

Streaming data into or out of a data system must be fast. One of the most expensive pieces of any streaming system is the I/O of the system: reading from the streaming layer using Apache Kafka or Amazon Kinesis, reading a file, writing to an Amazon Simple Storage Service (Amazon S3) data lake, or communicating […]

This is a blog post co-written by Karl Platz at Isentia. In their own words, “Isentia is the leading media monitoring, intelligence and insights solution provider in Asia Pacific, helping top-performing communication teams make sense of the world’s conversations in real-time.” Isentia is a publicly listed (ASX:ISD) media monitoring and intelligence company that provides software […]