Data analysis is incredibly useful for all kinds of businesses and also has academic and hobbyist applications. Nonetheless, it’s still possible to fall into numerous traps when trying to accurately interpret your data. That’s why we’re giving you a list of the top 8 common data analysis mistakes to avoid at all costs. Our first expert Jitin Narang, CMO at TechAHead contributed the following five top data mistakes to avoid:

Happy anniversary to us! Fifteen years ago, Talend’s founders anticipated the business need to have data accessible to all users across an organization. I’ve been with Talend since the beginning, and I wanted to celebrate this milestone by sharing our product innovation and evolution through the years. Talend was created with the idea that we could offer something new to the market: open source ETL.

This is part of our series of blog posts on recent enhancements to Impala. The entire collection is available here.