AWS Partner Network (APN) Blog

Tag: AWS SCT

Fujitsu-APN-Blog-021423

Optimizing AWS Database Migration Service for Oracle to PostgreSQL with Fujitsu

Migrating a company’s database architecture from an on-premises database to the cloud can be a complicated and time-consuming process. One of the critical decisions is the choice of tooling to deliver the migration, and how to get the best out of the selected tool. This post discusses key learnings and experiences Fujitsu has gained through its use of AWS Database Migration Service (AWS DMS) during database migration projects, primarily from Oracle-to-PostgreSQL migrations.

Modernizing Data Assets from an On-Premises Data Warehouse to Amazon Redshift

Most enterprise customers are trying to migrate their on-premises data warehouse from Oracle or other on-premises solutions to Amazon Redshift. Learn how TEKsystems strives to put forth a series of tools, technologies, and methodologies to meet customers in their current AWS cloud journey path. With a phased migration approach, TEKsystems’s customer realized immediate savings moving off an on-premises data warehouse while running its current applications against Amazon Redshift through partner solutions.

Infosys-AWS-Partners

Migrating Netezza Workloads to AWS Using Amazon EMR and Amazon Redshift

Data warehouse modernization has been a key aspect of many customers’ broader cloud transformation stories. Legacy data warehouse systems, however, present many challenges when dealing with today’s enterprise data needs. Learn how AWS and Infosys collaborated to transform a legacy Netezza platform on AWS for a large retail customer. With Infosys tools, processes, and industry knowledge, the collaboration between AWS and Infosys enables customers to transform their analytics platforms.

Mactores-AWS-Partners

How Mactores Tripled Performance by Migrating from Oracle to Amazon Redshift with Zero Downtime

Mactores used a five-step approach to migrate, with zero downtime, a large manufacturing company from an Oracle on-premises data warehouse to Amazon Redshift. The result was lower total cost of ownership and triple the performance for dependent business processes and reports. The migration tripled the customer’s performance of reports, dashboards, and business processes, and lowered TCO by 30 percent. Data refresh rates dropped from 48 hours to three hours.