What we're about

Traditional approaches to data preparation (ETL, SQL and Excel) are not dead but can't scale to address massive data volumes of poly-structured data (unstructured, semi-structured and structured) every day.

Let's meet to talk about new technologies which are being applied to solve the most complex data prep requirements: distributed computing, parallel data processing, semantic machine learning, elastic public and private cloud, and more. Meetup to feature business analysts, data scientists, data admins and developers sharing tools, tips and tricks for getting data prep done in the modern world.

Past events (7)

Interactive Applications on Spark: Big and small lessons learned

Paxata Headquarters

Data Prepsters - spotlight on Microstrategy!

Paxata Headquarters

Share how machine learning helps solve data quality issues

Paxata Headquarters