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Migrating Applications to Amazon RDS for Oracle

Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale Oracle Database deployments in the cloud. Using Amazon RDS saves time and effort by offloading repetitive database management tasks, and it affords scaling and DR capabilities that would be very difficult to achieve in on-premises or...

How to Replicate Data from Any Supported Database to Amazon Redshift

This short tutorial will show you how to replicate data with Attunity Replicate from any supported database to Amazon Redshift..

Implementing Disaster Recovery Across On-Premises & AWS

Organizations leveraging Amazon Web Services (AWS) can choose from a variety of Disaster Recovery (DR) strategies to deploy across an on-premises infrastructure and one or more AWS regions. Join us for this webinar and learn how Attunity is helping Amazon customers implement durable, low-cost DR solutions. Using Attunity, customers can...

Attunity CloudBeam with Attunity Replicate for Amazon Redshift

Attunity CloudBeam on-premises Database to Amazon Redshift Replication with Replicate for Amazon Redshift is an optimized data loading solution for Amazon Redshift, AWS’s new data warehouse in the cloud. Attunity’s offering is being designed to provide a high-speed, scalable and fully-managed solution designed to move data from enterprise databases into...

Demonstration: Attunity Replicate for Amazon RDS

For organizations looking to run Oracle, SQL Server, or MySQL in the Cloud, Amazon RDS can be an attractive proposition. With Amazon RDS, organizations enjoy a cost-efficient, scalable solution that requires virtually no administration. However, while organizations look to capitalize on the potential operational gains, they face the challenge of...

Etix Performs Complex Queries on Transactional Data Using Amazon Redshift, Jaspersoft & Attunity CloudBeam

Find out how Etix, an independent ticketing company, uses Amazon Redshift, Jaspersoft and Attunity CloudBeam to perform large computations and comprehensive data analysis across 13 years of transactional data.