Publications by eoda GmbH
Data science courses with R in Frankfurt!
Data science courses with R in Frankfurt! R is one of the leading programming languages for data analysis. In our R trainings, we teach you the manifold possibilities of the free programming language in a practically orientated and comprehensive way. Unlock the potential of data science with the free R programming language for advanced analytics ...
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How to Build Analytics Platforms – Part 3: Customizable Workflow and Dashboards
What does a modern analytics platforms need to offer companies real added value? The more information a platform represents and the more detailed the individual analytics projects are, the stricter is often the way in which projects must be planned and implemented. But what would happen if the individual project steps were based on the company an...
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Easy data access: The advantages of a unique database connection with ODBC and DBI
Easy data access: The advantages of a unique database connection with ODBC and DBI Every developer has his favorite tools and frameworks to work with when connecting to the database. The number of different front end and back end combinations increases the complexity of the analysis. Any Relational Database Management System (RDBMS) that needs i...
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How to build analytics platforms – Part 4: Database scalability and business models
What does a modern analytics platform need to offer companies real added value? Without data, there are no data products or analyses! What sounds so banal is one of the most important requirements for modern analytical platforms: The possibility to connect various data sources and develop new use cases, data products and entire business models. L...
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Data science 2019 – Interlinguality and the question of the „right“ programming language
As digitalization progresses and data science interfaces continue to grow, new opportunities are constantly emerging to reach the personal analysis goals. Despite the „modernity“ of the industry, there is now a wealth of software for every need: From the design of the analysis infrastructure to the complete, decentralized evaluation through e...
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R trainings in Frankfurt!
R is one of the leading programming languages for data analysis. In November 2019 we bring our popular data science trainings to Frankfurt! Introduction to R | 12 – 13 November 2019 The course is intended as an introduction to R and its basic functionalities and facilitates the introduction to R with practical tips and exercises. This basic co...
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How to build analytics platforms – Part 5: Data visualization and reliable results
What does a modern analytics platform need to offer companies real added value? Contradiction and connection at the same time: Information content vs. simple presentation A meaningful result or the answer to important questions is not everything. Making data and results comprehensible is just as important for companies as target-oriented analys...
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Horizontal scaling of data science applications in the cloud
Prediction models, machine learning algorithms and scripts for data storage: The modern data science application not only shows more and more complexity, but also puts the existing infrastructure to the test by temporary resource peaks. In this article, we will show how tools such as the RStudio Job Launcher in conjunction with a Kubernetes clust...
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Package management: Using repositories in production systems
Data science is characterized among other things using open source tools. An advantage when working with open source languages such as R or Python is the large package world. This provides tools for numerous use cases and problems through the development within huge communities. The packages are organized in digital online archives – so-called ...
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Version control – The uncomplicated work on a common project
Whoever starts a job as a developer in 2019, be it in software development or in data science, data ops, etc., is usually confronted with a tool for version management relatively early. Programs such as Git, SVN and BitKeeper are primarily used to transparently wind forwards and rewind the development history or to develop new features on separat...
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