AWS Database Blog

Category: Amazon Aurora

How to extract, transform, and load data for analytic processing using AWS Glue (Part 2)

One of the biggest challenges enterprises face is setting up and maintaining a reliable extract, transform, and load (ETL) process to extract value and insight from data. Traditional ETL tools are complex to use, and can take months to implement, test, and deploy. After the ETL jobs are built, maintaining them can be painful because […]

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How to encrypt Amazon Aurora using AWS KMS and your own CMK

When selecting a relational database engine, customers look at many different aspects, including management, performance, reliability, automation, and more recently, the ability to natively encrypt data at rest. Amazon Aurora provides a highly available, optimal, and scalable relational database engine that supports both MySQL and PostgreSQL. Amazon Aurora also supports native encryption of data at […]

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How Cloudability boosted performance, simplified tuning, and lowered costs with Amazon Aurora

Cloudability is a cloud cost-management platform that empowers enterprises to run with known cloud financials and full accountability. Our platform collects an avalanche of billing and utilization data points—33 million per resource, with over 275,000 services and options from each cloud vendor and more than 1,000 new services rolled out annually per cloud provider. Using […]

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Learn to master MySQL database migrations with Aurora

By Nathaniel Kangpan, SVP Technology & Data Services, Kepler Group I have yet to meet a client in the past 12 months that doesn’t already (a) have a team or two dipping their toes into cloud-based infrastructure, or (b) have the cloud on their roadmap for 2018. Total cost of ownership (TCO) savings for migrating […]

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How to migrate from Oracle to Amazon Aurora MySQL using AWS CloudFormation (Part 1)

Database migrations are challenging, especially for heterogeneous database migrations such as Oracle to Amazon Aurora PostgreSQL, Oracle to Amazon Aurora MySQL, or Microsoft SQL Server to MySQL. The schema structure, data types, and database code of source databases can be quite different from those of the target databases, requiring a schema and code transformation step before the […]

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Use IAM authentication to connect with SQL Workbench/J to Amazon Aurora MySQL or Amazon RDS for MySQL

Introduction Amazon Relational Database Service (Amazon RDS) enables you to use AWS Identity and Access Management (IAM) to manage database access for Amazon RDS for MySQL DB instances and Amazon Aurora MySQL DB clusters. Database administrators can associate database users with IAM users and roles. By using IAM, you can manage user access to all AWS resources from a single location, avoiding […]

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A quick introduction to migrating from an Oracle database to an Amazon Aurora PostgreSQL database

In this post, we build an AWS CloudFormation stack to deploy resources to help demonstrate the process of migrating from an Oracle database to an Amazon Aurora PostgreSQL database. Because this is a heterogeneous migration, we follow a two-phase approach similar to what is detailed in How to Migrate Your Oracle Database to PostgreSQL. The […]

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Analyzing Amazon RDS Database Workloads with Performance Insights

Sign Up to Preview Performance Insights with Additional Database Engines AWS recently announced general availability of Amazon Aurora with PostgreSQL compatibility. With this release, AWS has also included the first release of a useful feature in Amazon Relational Database Service (Amazon RDS) called Performance Insights. Using a dashboard that visualizes database load—along with which SQL […]

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Monitor Amazon Aurora Database Activities Using DataSunrise Database Security

Radik Chumaren, Engineering Leader at DataSunrise DataSunrise is a database security software company that offers a breadth of security solutions, including activity monitoring, data masking (dynamic and static masking), a database firewall, and sensitive data discovery for diversified databases. Our goal is to protect databases against external and internal threats and vulnerabilities. We often see […]

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Using JSON with MySQL 5.7–compatible Amazon Aurora

What’s the big deal about JSON support in MySQL 5.7? MySQL 5.6 supports numeric, date and time, string (character and byte) types, and spatial data types. Although this is a broad set of supported types, these primitive data types can limit your flexibility to evolve an application. If you use MySQL 5.6, you have two […]

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