AWS Partner Network (APN) Blog

Category: Database

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How Onica’s Elastic Engineering Team Automated Disaster Recovery for Amazon RDS Instances

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.

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How to Get Real-Time SAP Data into Amazon Redshift with HVR

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.

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Simplified Cloud Database Management Using Couchbase Cloud and 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.

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Storing Multi-Tenant SaaS Data in a Serverless Environment with Amazon Keyspaces

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.

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Using Amazon AppFlow to Achieve Bi-Directional Sync Between Salesforce and Amazon RDS for PostgreSQL

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.

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How to Tokenize and De-Identify Your Data in Amazon RDS with Baffle

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.

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Amazon Redshift Benchmarking: Comparison of RA3 vs. DS2 Instance Types 

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.

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How Zen Saved 75% on Licensing By Migrating MS SQL Server Workloads to Amazon RDS

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.

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How Etleap Integrates with Amazon Redshift Data Sharing to Provide Isolation of ETL and BI Workloads

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.

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Team Up with AWS Partners Validated by Database Engine Type Through the Amazon RDS Service Delivery Program

Amazon RDS customers are looking for AWS Partners with specific database engine expertise to set up, operate, and scale relational databases in the cloud. To meet this need, we are relaunching the Amazon RDS Service Delivery Program, which now validates AWS Partners by database engine type. This allows customers to identify an Amazon RDS Partner that best meets their database engine-specific migration and implementation needs.

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