AWS Big Data Blog

Category: Amazon Kinesis

Following a remote planning phase in which we defined our requirements and laid out the basic design.

How Baqend built a real-time web analytics platform using Amazon Kinesis Data Analytics for Apache Flink

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. This is a customer post written by the engineers from German startup Baqend and the AWS EMEA Prototyping Labs team. Baqend is one of the fastest-growing software as a service (SaaS) startups in Germany, serving over 5,000 business customers with […]

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Validate, evolve, and control schemas in Amazon MSK and Amazon Kinesis Data Streams with AWS Glue Schema Registry

Data streaming technologies like Apache Kafka and Amazon Kinesis Data Streams capture and distribute data generated by thousands or millions of applications, websites, or machines. These technologies serve as a highly available transport layer that decouples the data-producing applications from data processors. However, the sheer number of applications producing, processing, routing, and consuming data can […]

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The following architecture diagram illustrates the wind turbine protection system.

Building a real-time notification system with Amazon Kinesis Data Streams for Amazon DynamoDB and Amazon Kinesis Data Analytics for Apache Flink

Amazon DynamoDB helps you capture high-velocity data such as clickstream data to form customized user profiles and Internet of Things (IoT) data so that you can develop insights on sensor activity across various industries, including smart spaces, connected factories, smart packing, fitness monitoring, and more. It’s important to store these data points in a centralized […]

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Building an ad-to-order conversion engine with Amazon Kinesis, AWS Glue, and Amazon QuickSight

Businesses in ecommerce have the challenge of measuring their ad-to-order conversion ratio for ads or promotional campaigns displayed on a webpage. Tracking the number of users that clicked on a particular promotional ad and the number of users who actually added items to their cart or placed an order helps measure the ad’s effectiveness. Utilizing […]

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Building a scalable streaming data processor with Amazon Kinesis Data Streams on AWS Fargate

Data is ubiquitous in businesses today, and the volume and speed of incoming data are constantly increasing. To derive insights from data, it’s essential to deliver it to a data lake or a data store and analyze it. Real-time or near-real-time data delivery can be cost prohibitive, therefore an efficient architecture is key for processing, […]

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Best practices for consuming Amazon Kinesis Data Streams using AWS Lambda

Many organizations are processing and analyzing clickstream data in real time from customer-facing applications to look for new business opportunities and identify security incidents in real time. A common practice is to consolidate and enrich logs from applications and servers in real time to proactively identify and resolve failure scenarios and significantly reduce application downtime. […]

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Detect change points in your event data stream using Amazon Kinesis Data Streams, Amazon DynamoDB and AWS Lambda

The success of many modern streaming applications depends on the ability to sequentially detect each change as soon as possible after it occurs, while continuing to monitor the data stream as it evolves. Applications of change point detection range across genomics, marketing, and finance, to name a few. In genomics, change point detection can help […]

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Migrating from Vertica to Amazon Redshift

Amazon Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. With Amazon Redshift, you can query petabytes of structured and semi-structured data across your data warehouse, operational database, and your data lake using standard SQL. When you use Vertica, you have to install and upgrade Vertica database software and manage the […]

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Unified serverless streaming ETL architecture with Amazon Kinesis Data Analytics

Businesses across the world are seeing a massive influx of data at an enormous pace through multiple channels. With the advent of cloud computing, many companies are realizing the benefits of getting their data into the cloud to gain meaningful insights and save costs on data processing and storage. As businesses embark on their journey […]

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Streaming data from Amazon S3 to Amazon Kinesis Data Streams using AWS DMS

Stream processing is very useful in use cases where we need to detect a problem quickly and improve the outcome based on data, for example production line monitoring or supply chain optimizations. This blog post walks you through process of streaming existing data files and ongoing changes from Amazon Simple Storage Service (Amazon S3) to […]

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