AWS Big Data Blog
Category: Amazon Aurora
Automate the archive and purge data process for Amazon RDS for PostgreSQL using pg_partman, Amazon S3, and AWS Glue
The post Archive and Purge Data for Amazon RDS for PostgreSQL and Amazon Aurora with PostgreSQL Compatibility using pg_partman and Amazon S3 proposes data archival as a critical part of data management and shows how to efficiently use PostgreSQL’s native range partition to partition current (hot) data with pg_partman and archive historical (cold) data in […]
Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift
November 2023: This post was reviewed and updated to include the latest enhancements in Amazon Aurora MySQL zero-ETL integration with Amazon Redshift on general availability (GA). Amazon Aurora zero-ETL integration with Amazon Redshift was announced at AWS re:Invent 2022 and is now generally available (GA) for Aurora MySQL 3.05.0 (compatible with MySQL 8.0.32) and higher […]
How Huron built an Amazon QuickSight Asset Catalogue with AWS CDK Based Deployment Pipeline
This is a guest blog post co-written with Corey Johnson from Huron. Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned owners, last updated date, used by whom, how frequently, and more. It helps engineers, […]
Reference guide to build inventory management and forecasting solutions on AWS
Inventory management is a critical function for any business that deals with physical products. The primary challenge businesses face with inventory management is balancing the cost of holding inventory with the need to ensure that products are available when customers demand them. The consequences of poor inventory management can be severe. Overstocking can lead to […]
How Epos Now modernized their data platform by building an end-to-end data lake with the AWS Data Lab
Epos Now provides point of sale and payment solutions to over 40,000 hospitality and retailers across 71 countries. Their mission is to help businesses of all sizes reach their full potential through the power of cloud technology, with solutions that are affordable, efficient, and accessible. Their solutions allow businesses to leverage actionable insights, manage their […]
How Plugsurfing doubled performance and reduced cost by 70% with purpose-built databases and AWS Graviton
Plugsurfing aligns the entire car charging ecosystem—drivers, charging point operators, and carmakers—within a single platform. The over 1 million drivers connected to the Plugsurfing Power Platform benefit from a network of over 300,000 charging points across Europe. Plugsurfing serves charging point operators with a backend cloud software for managing everything from country-specific regulations to providing […]
Automate Amazon ES synonym file updates
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Search engines provide the means to retrieve relevant content from a collection of content. However, this can be challenging if certain exact words aren’t entered. You need to find the right item from a catalog of products, or the correct […]
Accelerating Amazon Redshift federated query to Amazon Aurora MySQL with AWS CloudFormation
Amazon Redshift federated query allows you to combine data from one or more Amazon Relational Database Service (Amazon RDS) for MySQL and Amazon Aurora MySQL databases with data already in Amazon Redshift. You can also combine such data with data in an Amazon Simple Storage Service (Amazon S3) data lake. This post shows you how […]
Announcing Amazon Redshift federated querying to Amazon Aurora MySQL and Amazon RDS for MySQL
Since we launched Amazon Redshift as a cloud data warehouse service more than seven years ago, tens of thousands of customers have built analytics workloads using it. We’re always listening to your feedback and, in April 2020, we announced general availability for federated querying to Amazon Aurora PostgreSQL and Amazon Relational Database Service (Amazon RDS) […]
Bringing machine learning to more builders through databases and analytics services
Machine learning (ML) is becoming more mainstream, but even with the increasing adoption, it’s still in its infancy. For ML to have the broad impact that we think it can have, it has to get easier to do and easier to apply. We launched Amazon SageMaker in 2017 to remove the challenges from each stage […]