AWS Database Blog

Choosing the Right DynamoDB Partition Key

Gowri Balasubramanian is a solutions architect at Amazon Web Services This blog post will cover important considerations and strategies for choosing the right partition key while migrating from a relational database to DynamoDB. This is an important step in the design  and building of scalable and reliable applications on top of DynamoDB. What is a […]

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How to Migrate Your Oracle Database to Amazon Aurora

Ed Murray is a manager at Amazon Web Services. This blog post gives you a quick overview of how you can use the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS) to facilitate and simplify migrating your commercial database to Amazon Aurora. In this case, we focus on migrating from […]

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Performing Parallel Queries and Phrase Searching with Amazon RDS for PostgreSQL 9.6.1

Jeff Levine is a solutions architect for Amazon Web Services. As a solutions architect for Amazon Web Services, one of my responsibilities is to help our customers to learn about new features and capabilities of our services. Amazon RDS makes it possible to set up, operate, and scale relational databases in the cloud without having […]

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Streaming Changes in a Database with Amazon Kinesis

Emmanuel Espina is a software development engineer at Amazon Web Services. In this blog post, I will discuss how to integrate a central relational database with other systems by streaming its modifications through Amazon Kinesis. The following diagram shows a common architectural design in distributed systems. It includes a central storage referred to as a […]

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Get Started with Amazon Elasticsearch Service: How Many Data Instances Do I Need?

Welcome to the first in a series of blog posts about Elasticsearch and Amazon Elasticsearch Service, where we will provide the information you need to get started with Elasticsearch on AWS. How many instances will you need? When you create an Amazon Elasticsearch Service domain, this is one of the first questions to answer.

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Introducing Cost Allocation Tags for Amazon DynamoDB

Nitin Sagar is a senior product manager for DynamoDB. You can now add tags to your Amazon DynamoDB tables. Tags are simple, user-customizable key and value pairs that are supported by many AWS services. Tagging for DynamoDB provides fine-grained visibility into your DynamoDB bill. You can assign tags to your tables and see cost breakouts […]

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Introducing AWS Schema Conversion Tool Version 1.0.502

We are pleased to announce the recent release of version 1.0.502 of the AWS Schema Conversion Tool (AWS SCT). Two key capabilities included with this release are the use of Amazon Aurora with PostgreSQL compatibility as a target and integration with AWS Database Migration Service (AWS DMS). Amazon Aurora with PostgreSQL compatibility as a target […]

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Auditing an Amazon Aurora Cluster

At re:Invent, we announced a number of new features for Amazon Aurora, the MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Today we are happy to announce that our advanced auditing feature is now available to all customers. What is […]

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Indexing Metadata in Amazon Elasticsearch Service Using AWS Lambda and Python

Amit Sharma (@amitksh44) is a solutions architect at Amazon Web Services. You can use Amazon S3 to implement a data lake architecture as the single source of truth for all your data. Taking this approach not only allows you to reliably store massive amounts of data but also enables you to ingest the data at […]

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A Large-Scale Cross-Regional Migration of NoSQL DB Clusters

Andrey Zaychikov is solutions architect at Amazon Web Services In this blog post, I will share experiences from a cross-regional migration of large-scale NoSQL database clusters (from Europe to the U.S.). The migration was a joint project implemented by the Ops team of our reference customer, FunCorp, and AWS Solutions Architects. “Our flagship product, iFunny, […]

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