AWS Big Data Blog
Category: Thought Leadership
Build an analytics pipeline for a multi-account support case dashboard
As organizations mature in their cloud journey, they have many accounts (even hundreds) that they need to manage. Imagine having to manage support cases for these accounts without a unified dashboard. Administrators have to access each account either by switching roles or with single sign-on (SSO) in order to view and manage support cases. This […]
Working with percolators in Amazon OpenSearch Service
Amazon OpenSearch Service is a managed service that makes it easy to secure, deploy, and operate OpenSearch and legacy Elasticsearch clusters at scale in the AWS Cloud. Amazon OpenSearch Service provisions all the resources for your cluster, launches it, and automatically detects and replaces failed nodes, reducing the overhead of self-managed infrastructures. The service makes it […]
How to choose the right Amazon MSK cluster type for you
March 2025: This post was reviewed and updated for accuracy. 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 […]
Patterns for enterprise data sharing at scale
Data sharing is becoming an important element of an enterprise data strategy. AWS services like AWS Data Exchange provide an avenue for companies to share or monetize their value-added data with other companies. Some organizations would like to have a data sharing platform where they can establish a collaborative and strategic approach to exchange data […]
Split your monolithic Apache Kafka clusters using Amazon MSK Serverless
Today, many companies are building real-time applications to improve their customer experience and get immediate insights from their data before it loses its value. As the result, companies have been facing increasing demand to provide data streaming services such as Apache Kafka for developers. To meet this demand, companies typically start with a small- or […]




