Category: Visualization

  • Bringing machine learning models into production

    Developing and bringing machine learning models into production is a task with a lot of challenges. These include model and attribute selection, dealing with missing values, normalization and others. Finding a workflow that puts all the gears, from data preprocessing and analysis over building models and selecting the best performing one to serving the model […]

  • Apache Zeppelin: Use with remote Spark cluster and Yarn

    Apache Zeppelin is pretty usefull for interactive programming using the web browser. It even comes with its own installation of Apache Spark. For further information you can check my earlier post. But the real power in using Spark with Zeppelin lies in its easy way to connect it to your existing Spark cluster using YARN. […]

  • Apache Zeppelin: Visualization and Spark data processing

    Apache Zeppelin is a web-based notebook for interactive data analytics. It comes will features for all the steps of data analysis: Data Ingestion Data Discovery Data Analytics Data Visualization & Collaboration Besides that feature set it also supports multiple languages in the backend. Currently it supports languages like: Apache Spark (SQL, PySpark, Java, Scala) R […]

  • Python vs. R for Data Science

    In Data Science there are two languages that compete for users. On one side there is R, on the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit: R R is a language and programming environment especially […]

  • Visualization: Enhancing the Palo Suite with NVD3.js

    After my previous post How to visualize data? I was unsatisfied with the visualization provided by the Palo Suite provided by Jedox. This could have several reasons, not the least, that I may not have been able to get the max out of it. But the quality of the resulting diagramms and it’s interactivity were […]

  • How to visualize data?

    Data visualization is something like an art. How to make results from your research in data easy to understand by management, business users or just everyone out there? A list of data, like an Excel sheet ist not what catches the eye. The art in visualization is shown perfectly on the site of Martin Wattenberg. […]

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