During April 2-5, the Data Science Research (DSR) Lab at the University of Florida joined forces with HPCC Systems from LexisNexis to run a hands-on workshop focused on ECL (Enterprise Control Language). Over 20 students participated in this event to learn more about managing and analyzing big data.
The workshop kicked off with an introduction to ECL, designed to equip new data scientists with the skills necessary for big data processing. ECL is particularly effective for handling large datasets and performing detailed data analysis. The workshop combined informative lectures with practical labs, ensuring participants could apply their newfound knowledge immediately.
Over the four days, the workshop covered a broad range of topics.
- Day One was all about the basics of ECL, teaching students how to craft data queries and commands.
- Day Two shifted to ETL processes—extracting, transforming, and loading data, which are essential steps in preparing data for analysis.
- Day Three focused on organizing and presenting data clearly and effectively.
- Day Four ramped up to more complex subjects like using ECL for deeper analytics and integrating machine learning to spot trends and make predictions.
After the workshop, students valued the practical and hands-on training, and expressed their enthusiasm to apply ECL and the related knowledge to their future projects. Beyond just being a series of lectures, the ECL workshop was also an opportunity for students to engage within the group and enhance their skills in big data technologies. Both HPCC systems and DSR lab are committed to continuing the support for our students to develop into proficient data scientists and be ready to tackle the challenges of the modern data-driven world.