AWS Big Data Blog

Category: Open Source

Achieve high availability in Amazon OpenSearch Multi-AZ with Standby enabled domains: A deep dive into failovers

Amazon OpenSearch Service recently introduced Multi-AZ with Standby, a deployment option designed to provide businesses with enhanced availability and consistent performance for critical workloads. With this feature, managed clusters can achieve 99.99% availability while remaining resilient to zonal infrastructure failures. In this post, we explore how search and indexing works with Multi-AZ with Standby and […]

Choosing an open table format for your transactional data lake on AWS

August 2023: This post was updated to include Apache Iceberg support in Amazon Redshift. Disclaimer: Due to rapid advancements in AWS service support for open table formats, recent developments might not yet be reflected in this post. For the latest information on AWS service support for open table formats, refer to the official AWS service […]

Choose the k-NN algorithm for your billion-scale use case with OpenSearch

April 2024: This post was reviewed for accuracy. February 2023: This post was reviewed and updated for accuracy of the code. When organizations set out to build machine learning (ML) applications such as natural language processing (NLP) systems, recommendation engines, or search-based systems, often times k-Nearest Neighbor (k-NN) search will be used at some point […]

Handling data erasure requests in your data lake with Amazon S3 Find and Forget

February 2024: This post was reviewed and updated for accuracy. Data lakes are a popular choice for organizations to store data around their business activities. Best practice design of data lakes impose that data is immutable once stored, but new regulations such as the European General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), […]

Analyzing healthcare FHIR data with Amazon Redshift PartiQL

Healthcare organizations across the globe strive to provide the best possible patient care at the lowest cost. In a patient’s care journey, multiple organizations are often involved, including the healthcare provider, diagnostic labs, pharmacies, and health insurance payors. Each of these organizations needs to exchange health data efficiently with the others to ensure care continuity […]