AWS Database Blog
Category: Database
Common administrator responsibilities on Amazon RDS and Amazon Aurora for PostgreSQL databases
Amazon Web Services (AWS) offers Amazon Relational Database Service (RDS) and Amazon Aurora as fully managed relational database services. With a few commands, you can have your production database instance up and running on AWS. An online database frees the database administrator (DBA) from many maintenance and management tasks. However, there are a few significant […]
Read MoreConfiguring Microsoft SQL Server Reporting Services on Amazon RDS for SQL Server
You can now run Microsoft SQL Server Reporting Services (SSRS) directly on an Amazon Relational Database Service (RDS) for SQL Server DB instance. You can activate SSRS on Single-AZ or Multi-AZ instances on the Standard or Enterprise editions of SQL Server 2016 or 2017. If you run SSRS on Amazon Elastic Compute Cloud (Amazon EC2), […]
Read MoreMigrating to Amazon DocumentDB with the hybrid method
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 3.6 or 4.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without worrying about managing the underlying infrastructure. As a document database, […]
Read MoreAchieving minimum downtime for major version upgrades in Amazon Aurora for PostgreSQL using AWS DMS
AWS provides two managed PostgreSQL options: Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. When Amazon RDS or Aurora support a new major version of a database engine, for example, PostgreSQL 10 to 11, you can upgrade your DB instances to the new version. Major version upgrades can contain database changes that may not be […]
Read MoreBuilding a customer identity graph with Amazon Neptune
A customer identity graph provides a single unified view of customers and prospects by linking multiple identifiers such as cookies, device identifiers, IP addresses, email IDs, and internal enterprise IDs to a known person or anonymous profile using privacy-compliant methods. It also captures customer behavior and preferences across devices and marketing channels. It acts as […]
Read MoreEnabling distributed transaction support for domain-joined Amazon RDS for SQL Server instances
Amazon Relational Database Service (RDS) for SQL Server now supports distributed transactions using Microsoft Distributed Transaction Coordinator (MSDTC). With MSDTC, you can run distributed transactions involving RDS for SQL Server DB instances. This post goes over the most common ways to run distributed transactions when using Amazon RDS for SQL Server using AWS Directory Service […]
Read MoreBuilding a GraphQL interface to Amazon QLDB with AWS AppSync: Part 2
This post is the second installment of a two-post series discussing how to integrate Amazon Quantum Ledger Database (QLDB) and AWS AppSync. This combination provides a versatile, GraphQL-powered API on top of the Amazon QLDB-managed ledger database. For information about connecting Amazon QLDB and AWS AppSync by building an AWS Lambda function and running a […]
Read MoreBuilding a GraphQL interface to Amazon QLDB with AWS AppSync: Part 1
Amazon Quantum Ledger Database (QLDB) is a purpose-built database for use cases that require an authoritative data source. Amazon QLDB maintains a complete, immutable history of all changes committed to the database (referred to as a ledger). Amazon QLDB fits well in finance, eCommerce, inventory, government, and numerous other applications. Pairing Amazon QLDB with services […]
Read MoreData modeling with NoSQL Workbench for Amazon DynamoDB
When using a NoSQL database such as Amazon DynamoDB, I tend to make different optimization choices than what I am accustomed to with relational databases. At the beginning, it was not easy for me, because my relational database experience was telling me to do things differently. To help with that, AWS released NoSQL Workbench for […]
Read MoreHow Zendesk tripled performance by moving a legacy system onto Amazon Aurora and Amazon Redshift
This is a guest post by James Byrne, Engineering Leader at Zendesk, focusing on data pipeline development and operations for the Zendesk Explore analytics product, and Giedrius Praspaliauskas, AWS Solutions Architect. Zendesk is a CRM company that builds support, sales, and customer engagement software designed to foster better customer relationships. From large enterprises to startups, […]
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