Dear Data Scientists – how to ease your job!

March 12, 2020
By

[This article was first published on R-Bloggers – eoda GmbH, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

You are the modern Indiana Jones of digitalization! Always on the lookout to increase knowledge, show relations and take your organization to the next level. Just like the great discoverers like Leif Eriksson, Vasco da Gama and Lewis and Clark, you never let yourself be stopped from pursuing an idea and discovering new possibilities. As Margaret Hamilton, Katherine Johnson or Marie Curie you recognize structures, patterns and find ways to solve problems or make processes more efficient. And just like these people you have a huge pool of methods, tools and knowledge that you use every day. With your skills you can simplify the daily work of your colleagues, relieve them and get things straight concerning the data jungle. Your own work is often difficult and inconvenient.

Every day you are faced with a multitude of challenges in your projects: How do you get feedback from the departments, how do you share your scripts with other data scientists or how do you distribute your scripts quickly and easil? You quickly want to connect and access data? Performance and compliance are less interesting for you than making your results available to different groups?

Wouldn’t it be great if you also had a solution that would make your work easier?

YUNA – The data science platform from data scientists for data scientists

Let’s consider the common data science languages R, Python and Julia. Maybe you were involved in projects where analysis scripts were available in different languages. A platform that would be able to use all these languages, regardless of the language, but still fully, with all their (connectivity) packages and libraries – that would be something, wouldn’t it? If you could continue using your usual IDEs, you wouldn’t even have to change your work.

Imagine you could run the scripts you develop in a scalable environment. In an environment where you wouldn’t have to worry about data retrieval, user queries and data sources. And when all agents work together, thanks to dynamic load balancing, you and your analysis deserve the „big“ in „big data“.

Pair the above examples with advanced script execution logging, so you’ll know exactly what your scripts are always outputting. Imagine a platform where parameterized, automated, sequential script execution is standard. Imagine being able to evaluate and optimize your scripts before, after and during production?

Or in short: Would it be exciting to work in a software solution that was developed in collaboration with you? By people who experience exactly the same things as you do every day.

With this idea YUNA was developed – The data science platform by data scientists for data scientists

Data Science is a team sport

In data science projects, you are rarely a lone fighter – even if you are the only person who is really involved in the field. Be it in the conception of the use case , the presentation of results and the planning of the next project. You often work together with different people who have their very own requirements – and you often have to be the translator so that the others understand your complex work.

With YUNA, many questions can be answered by tracing results back to the actual data source, such as machine sensors. Business users can set business questions to which you will find the answers. Coordination paths are greatly reduced, and you can concentrate on the essential – data science, your passion, your job.

Find more information about YUNA at: https://www.eoda.de/en/leistungen/yuna

To leave a comment for the author, please follow the link and comment on their blog: R-Bloggers – eoda GmbH.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)