Big data engineering is about identifying and assembling the right big data technologies – including open-source software – to achieve business objectives and generate tangible value from existing data assets while having the necessary governance to create a foundation that will scale and increase value over time and integrate with existing assets. Big data success starts with the right architecture, based on experience of enterprise deployment at scale. Big data engineering requires blending effective principles of data management with distributed systems architecture and DevOps practices.
Eworks skilled and experienced architects and engineers design and build big data solutions that produce faster time-to-value, with clear architectural blue prints for the long term. Our approach to big data engineering has been honed over scores of successful projects. And we build on a foundation of reuse for frameworks and components that enable companies to unlock the value of their data much sooner than other methods.
Eworks builds Big Data applications and solutions based on Hadoop, NoSQL and other leading platforms. We can help with:
- IT and operational cost reductions
- Device behavioral data for improved customer service and proactive maintenance
- Detailed parametric and test data to improve manufacturing yield
- Improved insight into consumer behavioral data
- Adoption of analytics as a competitive weapon