AWS Big Data Blog
Category: Amazon Managed Streaming for Apache Kafka (Amazon MSK)
AWS Glue streaming application to process Amazon MSK data using AWS Glue Schema Registry
Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. This data can come from a diverse range of sources, including Internet of Things (IoT) devices, user applications, and logging and telemetry information from applications, […]
Deep dive on Amazon MSK tiered storage
In the first post of the series, we described some core concepts of Apache Kafka cluster sizing, the best practices for optimizing the performance, and the cost of your Kafka workload. This post explains how the underlying infrastructure affects Kafka performance when you use Amazon Managed Streaming for Apache Kafka (Amazon MSK) tiered storage. We […]
Stream data with Amazon MSK Connect using an open-source JDBC connector
Customers are adopting Amazon Managed Service for Apache Kafka (Amazon MSK) as a fast and reliable streaming platform to build their enterprise data hub. In addition to streaming capabilities, setting up Amazon MSK enables organizations to use a pub/sub model for data distribution with loosely coupled and independent components. To publish and distribute the data […]
How Zoom implemented streaming log ingestion and efficient GDPR deletes using Apache Hudi on Amazon EMR
In today’s digital age, logging is a critical aspect of application development and management, but efficiently managing logs while complying with data protection regulations can be a significant challenge. Zoom, in collaboration with the AWS Data Lab team, developed an innovative architecture to overcome these challenges and streamline their logging and record deletion processes. In […]
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. […]
Connect Kafka client applications securely to your Amazon MSK cluster from different VPCs and AWS accounts
You can now use Amazon Managed Streaming for Apache Kafka (Amazon MSK) multi-VPC private connectivity (powered by AWS PrivateLink) and cluster policy support for MSK clusters to simplify connectivity of your Kafka clients to your brokers. Amazon MSK is a fully managed service that makes it easy for you to build and run applications that […]
Connect to Amazon MSK Serverless from your on-premises network
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed, highly available, and secure Apache Kafka service. Amazon MSK reduces the work needed to set up, scale, and manage Apache Kafka in production. With Amazon MSK, you can create a cluster in minutes and start sending data. With Amazon MSK Serverless, you can […]
Accelerating revenue growth with real-time analytics: Poshmark’s journey
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. This post was co-written by Mahesh Pasupuleti and Gaurav Shah from Poshmark. Poshmark is a leading social marketplace for new and secondhand styles for women, men, kids, […]
How to choose the right Amazon MSK cluster type for you
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations, making it easy for developers and DevOps managers to run Apache Kafka applications and Kafka Connect connectors on AWS, without the need to become experts in operating Apache Kafka. Amazon MSK operates, maintains, and […]
Build an end-to-end change data capture with Amazon MSK Connect and AWS Glue Schema Registry
The value of data is time sensitive. Real-time processing makes data-driven decisions accurate and actionable in seconds or minutes instead of hours or days. Change data capture (CDC) refers to the process of identifying and capturing changes made to data in a database and then delivering those changes in real time to a downstream system. […]