AWS Big Data Blog

Category: Amazon Kinesis*

Streaming Analytics with DataTorrent RTS and Amazon EMR

Nick Durkin is a Senior Solution Engineer for DataTorrent. DataTorrent is an AWS Technology Partner. In this blog post, we introduce fast big data and provide context about the DataTorrent RTS streaming analytics platform. In addition, we show you how to implement a real-time, streaming analytics application for capturing social media trends from Twitter using […]

Read More

Snakes in the Stream – Feeding and Eating Amazon Kinesis Streams with Python

Markus Schmidberger is a Senior Consultant for AWS Professional Services The Internet of Things (IoT) is becoming increasingly popular, and it’s easy to see why: it generates new business value for your company by connecting all available machines and devices. The big challenge is real-time data processing and analysis. Cloud computing is an excellent way […]

Read More

Getting HBase Running on Amazon EMR and Connecting it to Amazon Kinesis

Wangechi Doble is an AWS Solutions Architect Introduction Apache HBase is an open-source, column-oriented, distributed NoSQL database that runs on the Apache Hadoop framework. In the AWS Cloud, you can choose to deploy Apache HBase on Amazon Elastic Cloud Compute (Amazon EC2) and manage it yourself or leverage Apache HBase as a managed service on […]

Read More

Visualizing Real-time, Geotagged Data with Amazon Kinesis

Nick Corbett is a Big Data Consultant for AWS Professional Services Amazon Kinesis is a fully managed service for processing real-time data at massive scale.  Whether you are building a system that collects data from remote sensors, aggregating log files from multiple servers, or creating the latest Internet of Things (IoT) solution, Amazon Kinesis lets […]

Read More

Implement a Real-time, Sliding-Window Application Using Amazon Kinesis and Apache Storm

Rahul Bhartia is an AWS Solutions Architect Streams of data are becoming ubiquitous today – clickstreams, log streams, event streams, and more. The need for real-time processing of high-volume data streams is pushing the limits of traditional data processing infrastructures. Building a clickstream monitoring system, for example, where data is in the form of a continuous clickstream rather […]

Read More

Hosting Amazon Kinesis Applications on AWS Elastic Beanstalk

Ian Meyers is a Solutions Architecture Senior Manager with AWS Amazon Kinesis provides a scalable and highly available platform for ingesting data from thousands of clients. Once data is available on a Kinesis stream, you can build applications to process the data using the Kinesis Client Library (KCL). KCL provides a framework for managing many […]

Read More