Category: Database

Thousands of organizations rely on Salesforce to manage their customer relationships, though they may store related data in a variety of heterogeneous external systems. Organizations use AWS for the variety of data stores, and Amazon RDS makes it simple for users to set up, operate, and scale databases in the cloud. Learn how to build an integration between Salesforce and Amazon RDS using the Salesforce Connect Adapter for GraphQL.

Developers can rely on AWS CloudFormation to update or add new resources to an application, as CloudFormation provides two methods for updating the stack: direct update or change set. Learn how to update the value and add new resources to your running Amazon RDS deployment, and explore architecture diagrams to help you see how the system behaves when you apply the changes via CloudFormation template.

Organizations need to be able to carefully define, monitor, and manage who has access to specific pieces of data according to their policies and external regulations. Effective data governance ensures data is consistent and trustworthy without being misused. Learn how Privacera enables data access governance on Amazon Aurora, including tag-based access control policies, and how Privacera can be used to mask columns or filter by row.

By following the creed of “intuition engineered” while collaborating with Oracle and AWS, Cognizant developed the Cognizant Insurance Model Office for OIPA, a cloud-compatible DevOps solution to automate OIPA setup on AWS, and accelerate the development of multiple new business capabilities in-parallel. Learn how the Cognizant Insurance Model Office for OIPA brings a performant and productive policy administration experience to insurance carriers.

Due to the legacy nature and and high maintenance cost of its legacy AS400 application running in an on-premises data center, a large global oil and gas company decided to move to the cloud as part of its application modernization to reduce cost and improve productivity. Learn how DXC Technology can help migrate workloads to AWS in large-scale environments and bridge the gap in migrating applications across traditional, private cloud, and AWS environments.

Organizations running Oracle Database on vSphere environments are looking for migration paths for the database and the best path for them. In this post, explore database migration paths to AWS from on-premises vSphere environments and the benefit of integrating VMware Cloud on AWS with AWS Cloud Databases. We’ll also discuss how each migration path helps customers streamline operations, reduce costs, and improve overall business agility.

Ensuring the security and proper management of sensitive information is paramount, and Collibra Protect and AWS Lake Formation offer a powerful combination to address the growing challenges of enterprise data access governance. Learn how Collibra Protect, part of the Collibra Data Intelligence Cloud, protects sensitive data and makes it available to specified groups of users. AWS Lake Formation is a fully managed serverless service that allows you to build clean and secure data lakes in days.

CockroachDB is a cloud-native, distributed SQL database designed for applications with data-intensive workloads. AWS Database Migration Service is a managed migration and replication service that helps move database and analytics workloads to AWS quickly, securely, and with minimal downtime and zero data loss. Learn how AWS DMS can help migrate data to CockroachDB, and walk through an example migration.

Getting the same performance on open-source databases as you get on commercial-grade databases can be challenging. EPAM’s database assessment tool, migVisor, can play a key role in the overall migration methodology. Learn how using migVisor in combination with other AWS assessment solutions and services can help you gain a holistic view of your environment and make informed decisions to determine the feasibility of migrating your databases and correlated applications to AWS.

To curb spend and unlock scale, Precisely collaborates with AWS to provide the means to synchronize mainframe data in the cloud at speed and power modern applications. Learn how Precisely Connect integrates data seamlessly from legacy systems into next-generation cloud and data platforms. Using Precisely Connect, data from sequential files, VSAM datasets, or databases such as IMS and Db2 can be transferred to Amazon RDS.