Productive and effective businesses need dependable data, that is consistently available in an accessible format.
This requires a secure and scalable data platform, understanding of data patterns and streaming, and optimised data workflows. Without these a business can quickly lose its operational effectiveness.
Effective Data Engineering ensures data is handled, stored and moved around efficiently. So that the business can operate with optimum speed, agility and insight.
OpenCredo has a experience across DevOps, Cloud, Distributed Systems and Big Data.
Our skills encompass across security and data analytics.
Whether you need design advice, or are planning a move to distributed Big Data services, we can help.
Examples of our Data Engineering Discovery and Delivery work:
When it comes to Data Engineering, we’ve worked with clients and projects of all sizes and configurations. This has included building real-time streaming platforms, automated machine learning environments for data scientists and benchmarking NoSQL databases. We’re also authors of the book on the graph database – Neo4j In Action.
We have partnerships with cloud vendors GCP and AWS, as well as Confluent (Kafka), Datastax (Cassandra) and Neo4j.
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 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”
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.
Data Science on Steroids: Productionised Machine Learning as a Value Driver for Business
Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. By leveraging data for actionable insights, IT will increasingly…
