The “Just KNIME It!” data challenges are an opportunity for you to practice your workflow building skills with KNIME Analytics Platform, the intuitive and powerful open source low-code software, and share what you learned with the data science community.
Here's how it works:
- Every Wednesday we post a problem that can be solved with KNIME
- Next, you think of a solution (feel free to use the KNIME Forum to ask questions and get feedback on your ideas) and implement it as a workflow
- We share our solution to the problem on the following Tuesday
Since many solutions are possible for any given challenge, we encourage you to share yours on your KNIME Hub space and on social media, so that we can keep the discussion going!
The challenges will be designed in 3 difficulty levels: easy, medium and hard. In the first week, we will start off with a medium-level challenge more or less as follows (we have to keep a bit of mystery!): You have a dataset of images stored on a virtual machine, and you cannot alter their location because they are a shared resource across several users. You also cannot create copies of the dataset because memory is scarce on that machine. Your goal then is to build a framework that allows users to interactively visualize the dataset in KNIME, and include/exclude those images that are not of interest for downstream analysis.
The “Just KNIME It!” challenges will range from dealing with images, to time series manipulation, to using CDC data to answer questions about disease, to introductory Python scripting. No stone will be left unturned. Our aim is to challenge and engage our community with fun mini-bytes of KNIMEness.
Are your KNIME senses tingling? Do you already have an idea of how you would solve such a problem?
The next series of Just KNIME It! challenges kicks off on May 15. Register here to sign up for weekly challenge reminders, starting May 8.