Data Engineering for Kaidee
Growing Online Marketplace tackles expanding Data needs with Apache Cassandra
“We have definitely gained value from the training and support that OpenCredo provided, in designing our newest use cases. We have already started implementing some of the use cases discussed and modelled during the workshop, and are hoping to benefit from the gained data insights shortly” – Mark Hollow, CTO, Kaidee
Data Analysis & Machine Learning for National Journal
Consolidating datasets to drive future Data Analytics capabilities
“OpenCredo helped us integrate that data, seamlessly flow it into our data visualization tool, and deal with a massive amount of data duplication issues. The experience of working with OpenCredo couldn’t have been better – they were highly professional, organized, and supremely competent in delivering this work to us.” – Luke Hartig, Executive Director
Cloud Native Architectures for Not On The High Street
Evolution through Microservices to achieve extraordinary growth in the retail industry
“In this 4 day weekend we take 6% of our annual turnover and have 6x our average peak traffic; OpenCredo worked with us to completely overhaul our infrastructure including a complete migration to a container based solution running on AWS. This could not have gone smoother, and when others failed we had a great weekend.”
Cloud Native Architectures for Central Government
Moving from a single service provider lock-in towards cost-saving multi-cloud.
The department gained contemporary and budget-friendly cloud-based services, moved beyond traditional hosting and locked-in supplier contracts, and reduced their external dependencies, all of which liberated their internal technical teams.
Data Engineering for Sedex
Honouring CSR with fast access to ethical supply chain data via Google Compute Engine
“We have the ability to produce large data sets very quickly and there are huge retailers in the U.S. who could very well become clients just because of that,” said José Copovi-King.
“This is a huge step change for retailers and we’re now out in front of the competition in the CSR environment.”
Data Engineering for SFR
Using Neo4j graph database to limit downtime, improve users’ experience and reduce costs.
“Neo4j is an obvious solution to explore for a graph network problem. It manages risk on the client side, and it also makes processes more efficient – Project Manager, SFR”