Productive, effective businesses need data that works for them – data they can depend on, available in a format they need, and crucially, when they need it!
This relies on having a data platform that’s secure, scalable and ready to support and optimise key data workflows and business process. Without it, it doesn’t take long for a business to lose operational effectiveness.
Effective Data Engineering ensures your data is handled, stored and moved around efficiently. It requires a solid understanding of data patterns, streaming capabilities and trade-offs required to achieve your optimal outcome. At the end of the day, Data Engineering ensures your information works hard for you, giving your business speed, agility and insight.
OpenCredo has a broad range of experience in DevOps, Cloud, Distributed Systems and Big Data. Our team’s skills lie across the remits of cloud infrastructure, distributed systems, security and data analytics.
So, whether you need general design advice or are planning a move to distributed Big Data services, we can help with both Discovery and Delivery services. Some of the ways we have helped before include:
When it comes to Data Engineering, we’ve worked with clients and projects of all sizes and configurations. From the small and highly specialised to large, complex projects, we’ve handled the lot! This has included building real-time streaming platforms and automated machine learning environments for data scientists, and benchmarking various NoSQL databases. We’re also authors of the book on the graph database – Neo4j In Action.
Adding even more value to our experience are our partnerships with cloud vendors like GCP and AWS. Through these, we’re able to offer cohesive integrations of their services into broader overall solutions.
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
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.”
Using Neo4j graph database to minimise network downtime, improve customers’ 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”
We are passionate about building fit for purpose solutions with the right technology – not just recommending the latest and greatest. We’re pragmatic, hands-on, and big believers in collaboration. It’s our consultant’s ability to adapt their expertise and insights to diverse business challenges and contexts that brings lasting results to our clients.