The data science blog by eoda
The data analysis blog from the data science specialist: We tell you stories about the data science languages R and Python, data science in a business context and much more.
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How to Build Data Science Platforms - Part 2: Intelligent User and Role Concept
Reading time: approx. 2min. Why are users- and role-permissions a factor not to be underestimated in data science platforms?
How to build analytics platforms - Part 1: UI & Teams
Reading time: approx. 2min. Which factors must be met by modern data science platforms?
Version control – The uncomplicated work on a joint project
Reading time: approx. 4min. Version management is a central tool for project management. Learn more about how Git can help you work more efficiently on joint projects!
Package management: Using repositories in production systems
Reading time: approx. 4min. A good package management in production systems and a fully functional infrastructure are the basis for a complication-free development environment. Learn how to work properly with repositories here!
Ansible: Infrastructure as code (IaC)
Reading time: approx. 3min By using Ansible, IT infrastructures can be automated so that manual intervention is no longer necessary. In our article we show you selected examples of how an automated infrastructure configuration can be implemented.
Kubernetes: Horizontal scaling of data science applications in the cloud
Reading time: approx. 2 min Due to the constant growth of data and the ever more complex requirements of an IT infrastructure, there are always new challenges for data scientists and data engineers. One possible solution is to combine the RStudio Job Launcher with a Kubernetes cluster: Read our blog article to find out about the advantages!
R, Python & Julia in data science: A comparison
Reading time: approx. 3min R, Python or Julia? Meanwhile there are many programming languages, but which one is suitable for your own needs is still unclear. We give you a recommendation!
Easy data access: The advantages of a unique database connection with ODBC and DBI
Reading time: approx. 2min Optimum data access is particularly important for the work of data scientists. It enables them to access the relevant data quickly and efficiently.
Are you [R]eady for production? The Data Science Event 2019 – Register now!
[R]eady for production – The Data Science Event 2019. In the upcoming week, eoda and RStudio invite the German speaking R-community to the…