AWS Database Blog

Retain more for less with UltraWarm for Amazon Elasticsearch Service

Machine-generated data powers solutions and causes problems. It’s indispensable for identifying operational issues in today’s modern software applications, yet you need flexible, scalable tools like Amazon Elasticsearch Service to analyze it in real time. This log data is so valuable that you don’t want to remove it from hot storage, but there’s so much of […]

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Dive into new functionality for PostgreSQL 11

In this post, I take a close look at three exciting features in PostgreSQL 11: partitioning, parallelism, and just-in-time (JIT) compilation. I explore the evolution of these features across multiple PostgreSQL versions. I also cover the benefits that PostgreSQL 11 offers, and show practical examples to point out how to adapt these features to your applications.

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Analyzing social media feeds using Amazon Neptune

Data generated from various media applications is valuable for organizations to understand customer sentiments and product feedback. It can also be used to recommend new products and services to their customers. This type of data is highly connected and is challenging to ingest and store in a relational database. A relational database does not store […]

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Monitoring Amazon DynamoDB for operational awareness

Amazon DynamoDB is a serverless database, and is responsible for the undifferentiated heavy lifting associated with operating and maintaining the infrastructure behind this distributed system. As a customer, you use APIs to capture operational data that you can use to monitor and operate your tables. This post describes a set of metrics to consider when […]

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Bring your own encryption keys to Amazon DynamoDB

Today, Amazon DynamoDB introduced support for customer managed customer master keys (CMKs) to encrypt DynamoDB data. Often referred to as bring your own encryption (BYOE) or bring your own key (BYOK), this functionality lets you create, own, and manage encryption keys in DynamoDB, giving you full control over how you encrypt and manage the security […]

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New AWS certification purpose-built to validate database expertise

AWS offers purpose-built database services that solve specific problems our customers face, so that they never have to make trade-offs around functionality, performance, or scale. Now, AWS is offering the beta of a purpose-built certification for builders with significant expertise in both on-premises and AWS databases. Here are the details you need so that you […]

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Your guide to Amazon Managed Blockchain and Amazon QLDB breakouts, workshops, and chalk talks at AWS re:Invent 2019

AWS re:Invent 2019 is almost here. This post includes a complete list of Amazon Managed Blockchain and Amazon Quantum Ledger Database (QLDB) breakouts, workshops, and chalk talks taking place at AWS re:Invent 2019. This year we have 22 total sessions on Amazon Managed Blockchain and Amazon QLDB including 7 breakouts, 5 chalk talks, 6 builders sessions, and 4 […]

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Your guide to Amazon Neptune sessions, workshops, and chalk talks at AWS re:Invent 2019

AWS re:Invent 2019 is less than two weeks away. This post includes a complete list of Amazon Neptune sessions, workshops, and chalk talks at AWS re:Invent 2019. Use the information on this page to help schedule your week in Las Vegas and accelerate your knowledge of Amazon Neptune. Sessions, Workshops, and Chalk Talks ADM203 – Reimagining advertising analytics & identity […]

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Working with RDS and Aurora PostgreSQL logs: Part 2

The first post in this series, Working with RDS and Aurora PostgreSQL Logs: Part 1, discussed the importance of PostgreSQL logs and how to tune various parameters to capture more database activity details. PostgreSQL logs provide useful information when troubleshooting database issues. This post focuses on different methods to access PostgreSQL logs. The PostgreSQL logs […]

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Working with RDS and Aurora PostgreSQL logs: Part 1

PostgreSQL is one of the most popular open-source relational database systems. With more than 30 years of development work, PostgreSQL has proven to be a highly reliable and robust database that can handle a large number of complicated data workloads. AWS provides two managed PostgreSQL options: Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. One […]

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