AWS Database Blog

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Best practices for upgrading Amazon RDS for Oracle DB instances from 12c to 19c

Amazon Relational Database Service (Amazon RDS) for Oracle provides newer versions of databases as they are introduced by Oracle so you can keep your DB instances up to date. These versions can include bug fixes, security enhancements, and other improvements. When Amazon RDS for Oracle supports a new version, you can choose how and when […]

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Monitor Amazon QLDB query access patterns

Amazon Quantum Ledger Database (Amazon QLDB) is a purpose-built ledger database that provides a complete and cryptographically verifiable history of all changes made to your application data. Customers in regulated industries use the cryptographically verifiable history as part of meeting compliance and facilitating audits. Similar to when working with traditional databases like MySQL or PostgreSQL, […]

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Migrate from SQL Server to Amazon Aurora using Babelfish

Enterprise customers have repeatedly told us they want to migrate to open-source databases such as PostgreSQL. You can choose from several different ways to migrate your data and database schema from SQL Server to PostgreSQL. However, after the initial database migration is completed, manually rewriting application code, switching out database drivers, and verifying that the […]

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Improve query performance with parallel queries in Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition

Parallel queries in PostgreSQL have the ability to use more than one CPU core per query. In parallel queries the optimizer breaks down the query tasks into smaller parts and spreads each task across multiple CPU cores. Each core can process the tasks at the same time thereby reducing the total time taken to complete […]

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Build a fault-tolerant, serverless data aggregation pipeline with exactly-once processing

The business problem of real-time data aggregation is faced by customers in various industries like manufacturing, retail, gaming, utilities, and financial services. In a previous post, we discussed an example from the banking industry: real-time trade risk aggregation. Typically, financial institutions associate every trade that is performed on the trading floor with a risk value […]

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Build a near real-time data aggregation pipeline using a serverless, event-driven architecture

The collection, aggregation, and reporting of large volumes of data in near real time is a challenge faced by customers from many different industries, like manufacturing, retail, gaming, utilities, and financial services. In this post, we present a serverless aggregation pipeline in AWS. We start by defining the business problem, introduce a serverless architecture for […]

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Vehicle routing optimization with Amazon Aurora PostgreSQL-Compatible Edition

Vehicle route planning with the goals of meeting customer satisfaction expectations, reducing fuel consumption, and reducing emissions can be challenging. The vehicle routing problem (VRP) goal is to find optimal routes for multiple vehicles visiting multiple locations to fulfill business-specific constraints such as cost and time. The VRP has various use cases in industries such […]

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Modify SSIS packages from SQL Server to Babelfish for Aurora PostgreSQL

Customers want to migrate from SQL Server to license-free databases like Amazon Aurora PostgreSQL–Compatible Edition, but it takes considerable work from an application point of view. Applications have SQL Server database code written in T-SQL; to modify that takes effort and is time-consuming. With Babelfish for Aurora PostgreSQL, you can make this process much simpler […]

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Get started with the Amazon DocumentDB JDBC driver

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB workloads. SQL is the de facto standard for data and analytics and one of the most popular languages among data engineers and data analysts. The Amazon DocumentDB JDBC driver provides a SQL interface that allows SQL-based […]

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Configure a standalone SQL Server node as database availability replica of a SQL Server failover cluster instance

AWS provides three ways to create highly available SQL Server databases. Most customers use the single-click Multi-AZ Amazon Relational Database Service (Amazon RDS) for SQL Server deployment. With Amazon RDS for SQL Server, you can enable the Multi-AZ option, which replicates data synchronously across different Availability Zones without the need to set up high availability […]

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