IT Infrastructures for Data Science
For more than 10 years, our experienced solution and data engineers have been implementing IT infrastructures – from medium-sized businesses to international corporations. Get your infrastructure ready for the digital challenges of the future – with eoda.
IT Infrastructures for Data Science
For more than 10 years, our experienced solution and data engineers have been implementing IT infrastructures – from medium-sized businesses to international corporations. Get your infrastructure ready for the digital challenges of the future – with eoda.
Our eoda | analytic infrastructure consulting
To get the most out of data potential in times of digitalization, a seamless implementation of analytics solutions in your business processes is needed. The right infrastructure is the linchpin for the productive use of data science and AI in your company.
Consulting
Here we gain an initial comprehensive overview of your existing IT landscape and your future plans. You receive a status quo report and a vendor-neutral implementation concept with a roadmap and the next steps.
Implementation
We implement your professional analysis environment. Benefit from our expertise and in-depth knowledge of the diverse data science toolset to find long-term solutions for you and realize the best possible environment.
Operations
We operate your analysis infrastructure and enable seamless processes and optimal support for you as a competent and reliable partner. On request, we will of course also be happy to train your IT administrators in the operation of the implemented data science toolset.
“With the design and implementation of our IT infrastructure, eoda has created the technical foundation for the development of our data science & data engineering division. The eoda infrastructure team is very competent and ensures reliable operation within the framework of our agreed SLAs through quick reactions and proactive problem solving. All in all, a fantastic collaboration.”
Dipl.-Ing. Stephan Eidt | Head of Fundamental Market Analysis | Stadtwerke München
„The implementation concept of eoda | analytic infrastructure consulting is very well elaborated and suits to our requirements perfectly. eoda has implemented a productive analysis environment for us that meets the strict requirements of a corporate IT environment without restricting the way data science works.“
Alex Burisch | IT Organizer| REWE International Dienstleistungs GmbH
“With the design and implementation of our IT infrastructure, eoda has created the technical foundation for the development of our data science & data engineering department. The eoda infrastructure team is very competent and ensures reliable operation within the framework of our agreed SLAs through quick reactions and proactive problem solving. All in all, a fantastic collaboration.”
Dipl.-Ing. Stephan Eidt | Head of Fundamental Market Analysis | Stadtwerke München
„The implementation concept of eoda | analytic infrastructure consulting is very well elaborated and suits to our requirements perfectly. eoda has implemented a productive analysis environment for us that meets the strict requirements of a corporate IT environment without restricting the way data science works.“
Alex Burisch | IT Organizer| REWE International Dienstleistungs GmbH
Components for successful data science infrastructures
IT infrastructures on premises and in the cloud
Infrastructures on premises or in the cloud with e.g. AWS and Microsoft Azure: We develop your “enterprise ready” infrastructure. What this includes: high availability, scalability, and load balancing to ensure the smooth functioning of your IT infrastructure. Even more: against the background of the security requirements, we guarantee a secure data connection for the operative operation of your analysis environment.
Operationalization of analytics
We provide you with an analytics platform that ranges from setting up the right IDE to hosting and scaling APIs. Our system administrators and developers configure your servers, provide support and implement individual solutions for you. Through version management and deployment pipelines, we ensure that your data science projects are managed and deployed in a structured and highly automated manner. The implementation of the data science infrastructure can be handled and extended as dynamically as possible using infrastructure as code (IaC) tools.
Operationalization of analytics
We provide you with an analytics platform that ranges from setting up the right IDE to hosting and scaling APIs. Our system administrators and developers configure your servers, provide support and implement individual solutions for you. Through version management and deployment pipelines, we ensure that your data science projects are managed and deployed in a structured and highly automated manner. The implementation of the data science infrastructure can be handled and extended as dynamically as possible using infrastructure as code (IaC) tools.
Data engineering
Where is data located? How can information be bundled? Where is data stored? Is it structured or unstructured data? With the help of the right data management strategy we pave the way for successful concepts in the field of data engineering. Data lake or data warehouse: we record your individual requirements and develop solutions for the professional use of data science in your company. A decisive aspect of this is the establishment of high-performance data pipelines as the center of your IT infrastructure.
Operation & support
With selected tools, release plans of the used components are monitored with a special focus on critical updates. In addition, server and software monitoring is a crucial part of a successful data science infrastructure.
Operation & support
With selected tools, release plans of the used components are monitored with a special focus on critical updates. In addition, server and software monitoring is a crucial part of a successful data science infrastructure.
A selection of our projects in the field of data science infrastructures
Case Study: Set-up for an analysis environment for corporate structures
Consulting, implementation, training and support: We built a powerful analysis environment for REWE around the productive use of the data science language R.
Case Study: Development of an analysis infrastructure for Covestro AG
For Covestro, we created a reproducible, centralized development environment for R and Python that better helps to meet compliance guidelines while making collaboration more efficient.
Case Study: Cloud infrastructure with Terraform & RStudio Server
For the University of Amsterdam and its more than 30,000 students, we have built a flexible and scalable data science infrastructure that helps save costs while being the foundation for the use cases of the future.
Case Study: Infrastructure consulting, implementation and support for fashion companies
Around the topic of data analysis with R, we were able to build a high-performance and fail-safe analytics infrastructure for a leading international fashion company, enabling the seamless implementation of analytics into business processes.
Our toolset for your data science infrastructure
Jump start now – we will walk you through it!