BigData Republic is a multidisciplinary team of experienced Big Data Scientists, Big Data Engineers, Big Data Architects and Big Data Strategists. Irrespective of an organization’s big data maturity level, we help to translate business goals into the design, implementation and utilization of innovative solutions. We offer four key services to deliver business value for our clients, depending on the maturity level of each organization:
Big data maturity levels: Where do you stand?
Creating awareness and identifying big data potential together.
PROOF OF CONCEPT
(data science as-a-service)
Delivering actionable insights without the need of a big data infrastructure.
SCALE & CONNECT
Implementing embedded analytics: real-time, adaptable and scalable solutions.
(training & consultancy)
Providing skills and knowledge, enabling you to create big data solutions.
We have worked with a broad variety of clients, ranging from small business enterprise to multinationals. Sectors include retail, finance, energy, automotive and more. A selection of our clients:
We believe in open-source technology. BigData Republic contributes all code that is not confidential to a specific customer back to the open-source community. This practice promotes code reuse, which allows us to kick-start projects, reduce project costs, and help customers keeping up-to-date with the state-of-the-art. We do not offer standardized products as we believe one size does not fit all. However, our solutions are the perfect starting point for your custom-tailored solution without starting from scratch. These solutions include:
The data science box
The data science box allows data scientists to analyze company data using their favorite tools such as R and Python. This virtual environment can be run on a laptop. Recommended as starting point for single-user projects.
The data science hub
If you prefer more control over who is accessing the data, and want to promote collaboration between data scientists, the data science hub is an ideal solution. The hub is similar to the box, but it allows multiple users in the same virtual environment. The hub can be deployed in the cloud or in an on-premise data center. Recommended as starting point for most multi-user projects.
The data science cluster
Both the data science box and hub can be connected to the data science cluster. This allows data scientists to perform analyses on very large data sets, as well as apply more complex machine learning algorithms in parallel. The cluster can be deployed on any of the major clouds (AWS/Azure/Google) as well as in an on-premise data center. Together with the box or hub, the data science cluster provides all you need for a full-fledged data science lab.
These kick-start solutions enable you and BigData Republic to execute all of your data science use-cases.
Training and education
We help to improve the skill sets of your internal employees to get better results on your big data and data science related projects. We offer a blend of standardized and tailor-made education and training programs:Training & education
We are a multidisciplinary team of experienced Big Data Scientists, Big Data Engineers, Big Data Architects and Big Data Strategists. These combined skill sets and competencies allows us to not only build predictive and prescriptive models, but also to engineer software in a tailor-made big data infrastructure that efficiently processes data, applies algorithms and exposes data-driven insights.
BIG DATA ENGINEER
Full-stack software developers, facilitating the connection between big data sources and users.
BIG DATA SCIENTIST
Builds predictive models that transform the way companies make business decisions.
We do not restrict ourselves to one product or technique. This enables us to choose the best solution for each organization.