AWS Big Data Blog
Category: Internet of Things
Build a dynamic rules engine with Amazon Managed Service for Apache Flink
This post demonstrates how to implement a dynamic rules engine using Amazon Managed Service for Apache Flink. Our implementation provides the ability to create dynamic rules that can be created and updated without the need to change or redeploy the underlying code or implementation of the rules engine itself. We discuss the architecture, the key services of the implementation, some implementation details that you can use to build your own rules engine, and an AWS Cloud Development Kit (AWS CDK) project to deploy this in your own account.
Building a scalable streaming data platform that enables real-time and batch analytics of electric vehicles on AWS
The automobile industry has undergone a remarkable transformation because of the increasing adoption of electric vehicles (EVs). EVs, known for their sustainability and eco-friendliness, are paving the way for a new era in transportation. As environmental concerns and the push for greener technologies have gained momentum, the adoption of EVs has surged, promising to reshape […]
How PostNL processes billions of IoT events with Amazon Managed Service for Apache Flink
This post is co-written with Çağrı Çakır and Özge Kavalcı from PostNL. PostNL is the designated universal postal service provider for the Netherlands and has three main business units offering postal delivery, parcel delivery, and logistics solutions for ecommerce and cross-border solutions. With 5,800 retail points, 11,000 mailboxes, and over 900 automated parcel lockers, the […]
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
February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. 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 […]
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
August 2024: This post was reviewed and updated for accuracy. 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 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.