Category: Database

Learn how Q2, a financial experience company that provides digital banking and lending solutions, worked with AWS ISV Partner ALTR, a provider of data security as a service that runs exclusively on AWS, to launch a PCI DSS-compliant application in a fraction of the time it normally takes to achieve certification. Q2’s Biller Direct application provides a centralized payment environment where users can enroll, manage their bills, and view projected spend.

As organizations move to AWS, ensuring you have an effective disaster recovery (DR) strategy in place to manage outages is paramount. Through defining a common understanding of RTO and RPO requirements, organizations can adequately design for DR solutions. Learn how Onica’s Elastic Engineering team co-created a solution with a client that leverages serverless architecture and enables an automated backup and restore for Amazon RDS instances.

The massive scale and efficiencies offered by cloud data lakes are best served by a continuous replication mechanism from on-premises and cloud-based enterprise resource planning (ERP) applications. Learn how SAP ERP, Amazon Redshift, and HVR Change Data Capture (CDC) add up to more than the sum of the individual parts, and dive deep into HVR’s architecture and the unique value proposition for SAP customers building their data lakes with AWS.

Couchbase NoSQL database admins have been using AWS to host clusters for many years. Couchbase Cloud provides customers access to sophisticated management software that allows them to co-manage their NoSQL cloud database directly inside their AWS-powered infrastructure. Learn how Couchbase leverages the underlying cloud resources, and explore graphical examples of key features from the web-based control plane to demonstrate how easy it is to use.

With Amazon Keyspaces, AWS has enabled SaaS providers to run their Apache Cassandra workloads using a fully managed, serverless offering. This option allows you to leverage the strengths of Cassandra while getting all of the scale, cost, reliability, and operational efficiency that comes with a managed model. Learn how Amazon Keyspaces can be used to store data in a multi-tenant architecture and review common models for partitioning each tenant’s data.

Many SaaS applications boast of microservices as a means to divide a monolithic architecture into easily manageable solutions. Sometimes these microservices have their own databases. To maintain data consistency across the system, you need to implement a data synchronization system between source and target data persistence layers. Learn how Trantor has developed a solution using Amazon AppFlow to easily synchronize the data between Salesforce and Amazon RDS for PostgreSQL in near real-time.

Baffle Data Protection Services (DPS) provides a data-centric protection layer allowing customers to tokenize, encrypt, and mask data in Amazon RDS at the column or row level, without any application code modifications while supporting a BYOK or HYOK model. Review the architecture for Baffle DPS, and walk through how to launch and test Baffle DPS from an AWS CloudFormation template with Amazon RDS databases to encrypt data at the column level.

Follow along as Agilisium provides an early look at Amazon Redshift’s ra3.4xlarge instance type (RA3). This post details the result of various tests comparing the performance and cost for the RA3 and DS2 instance types. It will help AWS customers make an informed decision on choosing the instance type best suited to their data storage and compute needs. As a result of choosing the appropriate instance, your applications can perform better while also optimizing costs.

Many enterprises with applications that use Microsoft SQL Server workloads feel constrained by the punitive licensing costs. They are looking to save on MS SQL Server license commitments, and reduce their operational overhead and complexity. Learn how Zen helped their customer save 75& on licensing costs by migrating SQL Server workload to Amazon Amazon RDS, and dive deep on the technical challenges, solution architecture, key processes, and individual steps of the migration.

Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as business intelligence, predictive analytics, and real-time streaming analytics. Learn how Etleap integrates with new data sharing and cross-database querying capabilities in Amazon Redshift to enable workload isolation for diverse analytics use cases in customer environments. Etleap integrates with any data source and runs either as a hosted solution (SaaS) or inside your VPC.