AWS Big Data Blog
Express brokers for Amazon MSK: Turbo-charged Kafka scaling with up to 20 times faster performance
In this post, we walk you through the implementation of MSK Express brokers, highlighting their core features, benefits, and best practices for rapid Kafka scaling.
Build a secure data visualization application using the Amazon Redshift Data API with AWS IAM Identity Center
In this post, we dive into the newly released feature of Amazon Redshift Data API support for SSO, Amazon Redshift RBAC for row-level security (RLS) and column-level security (CLS), and trusted identity propagation with AWS IAM Identity Center to let corporate identities connect to AWS services securely. We demonstrate how to integrate these services to create a data visualization application using Streamlit, providing secure, role-based access that simplifies user management while making sure that your organization can make data-driven decisions with enhanced security and ease.
Cross-account data collaboration with Amazon DataZone and AWS analytical tools
In this post, we will cover how you can use Amazon DataZone to facilitate data collaboration between AWS accounts.
Amazon OpenSearch Service vector database capabilities revisited
As we enter 2025, OpenSearch Service support for OpenSearch 2.17 brings these improvements to the service. In this post, we walk through 2024’s innovations with an eye to how you can adopt new features to lower your cost, reduce your latency, and improve the accuracy of your search results and generated text.
Design patterns for implementing Hive Metastore for Amazon EMR on EKS
In this post, we explore the design patterns for implementing the Hive Metastore (HMS) with EMR on EKS with Spark Operator, each offering distinct advantages depending on your requirements. Whether you choose to deploy HMS as a sidecar container within the Apache Spark Driver pod, or as a Kubernetes deployment in the data processing EKS cluster, or as an external HMS service in a separate EKS cluster, the key considerations revolve around communication efficiency, scalability, resource isolation, high availability, and security.
Governing streaming data in Amazon DataZone with the Data Solutions Framework on AWS
In this post, we explore how AWS customers can extend Amazon DataZone to support streaming data such as Amazon Managed Streaming for Apache Kafka (Amazon MSK) topics. Developers and DevOps managers can use Amazon MSK, a popular streaming data service, to run Kafka applications and Kafka Connect connectors on AWS without becoming experts in operating it.
Amazon Prime Video advances search for sports using Amazon OpenSearch Service
In this post, we will walk you through how Prime Video used Amazon OpenSearch Service and its AI and machine learning (AI/ML) capabilities to build a more intuitive and enhanced sports search experience.
Top analytics announcements of AWS re:Invent 2024
AWS re:Invent 2024, the flagship annual conference, took place December 2–6, 2024, in Las Vegas, bringing together thousands of cloud enthusiasts, innovators, and industry leaders from around the globe. Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. In this post, we walk you through the top analytics announcements from re:Invent 2024 and explore how these innovations can help you unlock the full potential of your data.
Amazon Web Services named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools
Amazon Web Services (AWS) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools. We were positioned in the Challengers Quadrant in 2023. This recognition, we feel, reflects our ongoing commitment to innovation and excellence in data integration, demonstrating our continued progress in providing comprehensive data management solutions.
Building and operating data pipelines at scale using CI/CD, Amazon MWAA and Apache Spark on Amazon EMR by Wipro
This blog post discusses how a programmatic data processing framework developed by Wipro can help data engineers overcome obstacles and streamline their organization’s ETL processes. The framework leverages Amazon EMR improved runtime for Apache Spark and integrates with AWS Managed services.