Category: Customer Solutions

This is a guest blog post by Oliver Jägle, Software Architect at DB Curbside Management, in partnership with AWS Senior Solutions Architect Ben Freiberg. Have you ever rented a scooter or a bicycle instead of walking or taking a bus? You’re not alone. More and more people around the globe have adopted this sort of […]

Customers use semi-structured or unstructured data storage for various business use cases, which is schema-less and flexible in nature. One such type of semi-structured data is JavaScript Object Notation (JSON). JSON stores data in the form of KEY, VALUE, LIST, and ARRAY formats. Oracle Database stores JSON object data in CLOB data type columns. PostgreSQL […]

With the evolution of microservice-based architectures, organizations are increasingly adopting purpose-built databases. Occasionally, businesses need guidance on which cloud service and solutions are best for them, as well as a plan for helping with the migration. When performing heterogeneous database migrations, you might encounter problems with attribute patterns on NoSQL compared to traditional relational database […]

This post is co-authored with Neha Gupta & Kanica Mandhania from Zomato. Zomato, an India-based restaurant aggregator, food delivery, and dining-out company, operates in over 1,000 cities and lists more than 350,000 restaurants. Since its inception in 2008, Zomato has grown tremendously, both in scope and scale—and has emerged as the leading market player in […]

Amazon Relational Database Service (Amazon RDS) for Oracle is a fully managed commercial database that makes it straightforward to set up, operate, and scale Oracle deployments in the cloud. In this post, we share the story of a database migration for a business-critical application from a vital database instance running inside Oracle SuperCluster to Amazon […]

This post is co-written with Holger Macht and Mike Matsumoto from Zalando. Zalando is a leading European online shop for fashion and lifestyle. Founded in Berlin in 2008, Zalando brings head-to-toe fashion to over 50 million active customers, offering clothing, footwear, accessories, and beauty supplies. The assortment of international brands ranges from world-famous names to […]

Open Raven is a leader in automated multi-cloud data security. Open Raven is the data security posture management company that prevents leaks, breaches, and compliance incidents. The Open Raven Data Security Platform connects to your cloud environment within minutes and works over native APIs and serverless functions. The Open Raven Data Security Platform works at cloud […]

This post is co-written with Peter Fein, Staff Engineer 2 at VMware VMware Tanzu CloudHealth, consolidated a multi-tenant, self-managed, 166-node sharded MySQL databases to Amazon Aurora MySQL-Compatible Edition and Amazon RDS Proxy. The goal was to support long-term, continuous, multi-factor data growth on their platform while improving reliability and simplifying operations. VMware Tanzu CloudHealth is […]

In this post, we show you how you can use the RMAN XTTS functionality to migrate from an Oracle database hosted on Amazon Elastic Compute CLoud (Amazon EC2) to Amazon RDS for Oracle. Combined with Amazon Elastic File System (Amazon EFS) integration, XTTS can help reduce the complexity of your migration strategy, reduce the number and copies of data and backups required (as well as associated storage space consumption), and reduce the application downtime associated with completing the migration of your data.

In this post, we discuss an automotive manufacturing information management use case where we store information about components within a vehicle as well as the hierarchy between each of the components. For our automotive use case, we use Amazon DynamoDB to deliver transactional queries, such as component attribute lookups. We will also show you how to use DynamoDB for larger responses such as a recursive query for all the components in a vehicle. While recursive object relationships can be represented in graph databases and possibly traditional RDBMS (with complex joins), these deeper queries can also be represented in DynamoDB.