Category: Open Source

This post demonstrates how to implement a dynamic rules engine using Amazon Managed Service for Apache Flink. Our implementation provides the ability to create dynamic rules that can be created and updated without the need to change or redeploy the underlying code or implementation of the rules engine itself. We discuss the architecture, the key services of the implementation, some implementation details that you can use to build your own rules engine, and an AWS Cloud Development Kit (AWS CDK) project to deploy this in your own account.

In this, we will provide a step-by-step guide showing you how you can build a real-time OLAP datastore on Amazon Web Services (AWS) using Apache Pinot on Amazon Elastic Compute Cloud (Amazon EC2) and do near real-time visualization using Tableau. You can use Apache Pinot for batch processing use cases as well but, in this post, we will focus on a near real-time analytics use case.

This post is co-written with Amit Gilad, Alex Dickman and Itay Takersman from Cloudinary.  Enterprises and organizations across the globe want to harness the power of data to make better decisions by putting data at the center of every decision-making process. Data-driven decisions lead to more effective responses to unexpected events, increase innovation and allow […]

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 […]

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 […]

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 […]

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), […]

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 […]