AWS Big Data Blog

Category: Internet of Things

How SOCAR handles large IoT data with Amazon MSK and Amazon ElastiCache for Redis

This is a guest blog post co-written with SangSu Park and JaeHong Ahn from SOCAR.  As companies continue to expand their digital footprint, the importance of real-time data processing and analysis cannot be overstated. The ability to quickly measure and draw insights from data is critical in today’s business landscape, where rapid decision-making is key. […]

How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. SOCAR is the leading Korean mobility company with strong competitiveness in car-sharing. SOCAR has become a comprehensive mobility platform in collaboration with Nine2One, an e-bike sharing service, […]

Build a big data Lambda architecture for batch and real-time analytics using Amazon Redshift

With real-time information about customers, products, and applications in hand, organizations can take action as events happen in their business application. For example, you can prevent financial fraud, deliver personalized offers, and identify and prevent failures before they occur in near real time. Although batch analytics provides abilities to analyze trends and process data at […]

Improve clinical trial outcomes by using AWS technologies

We are living in a golden age of innovation, where personalized medicine is making it possible to cure diseases that we never thought curable. Digital medicine is helping people with diseases get healthier, and we are constantly discovering how to use the body’s immune system to target and eradicate cancer cells. According to a report […]

How to build a front-line concussion monitoring system using AWS IoT and serverless data lakes – Part 2

In part 1 of this series, we demonstrated how to build a data pipeline in support of a data lake. We used key AWS services such as Amazon Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and AWS Lambda. In part 2, we discuss how to process and visualize the data by creating a […]

How to build a front-line concussion monitoring system using AWS IoT and serverless data lakes – Part 1

In this two-part series, we show you how to build a data pipeline in support of a data lake. We use key AWS services such as Amazon Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and AWS Lambda. In part 2, we focus on generating simple inferences from that data that can support RTP parameters.

Real-time bushfire alerting with Complex Event Processing in Apache Flink on Amazon EMR and IoT sensor network

In this blog post, we discuss how to build a real-time IoT stream processing, visualization, and alerting pipeline using various AWS services. We took advantage of the Complex Event Processing feature provided by Apache Flink to detect patterns within a network from the incoming events.