Productive and effective businesses need dependable data.
Achieving this requires a secure and scalable data platform, an 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. The result is a business operating with optimum speed, agility and insight.
OpenCredo has experience across DevOps, cloud, distributed systems, big data and security. We also work with data processing technologies including machine learning, graph and statistical analysis. Whether you need design advice or are planning a move to distributed big data services, we can help.
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 helped our clients with data engineering in the following ways through our discovery and delivery services:
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.
GOTO Copenhagen 2023 – The 12 Factor App For Data (Recording)
Watch the recording of our Technical Delivery Director, James Bowkett from the GOTO Copenhagen 2023 conference for his talk ‘The 12 Factor App For Data’The 2023 Mayor’s Business Climate Challenge (BCC) – Final Part
Learn more about our efforts and our progress towards becoming an environmentally friendly company for the Mayor’s Business Climate Challenge (BCC) in 2023 in this…