Business today often calls for analyzing millions or even billions of rows of data on demand and in real time. And although relational databases are unmatched for transactional workloads, columnar databases allow for faster and easier analytical queries.
In this latest Data Science Central webinar, we’ll explore how columnar databases can:
Decrease the need to read from disk
Massively compress your dataset
Eliminate the need for indexes
Support ad hoc, on-demand queries at any scale
We’ll use MariaDB AX, an open source columnar database for enterprises, to demonstrate how column-based storage can make your analytics more efficient, flexible and scalable – without sacrificing standard SQL.
Speaker: Shane Johnson, Senior Director of Product Marketing — MariaDB
Hosted by: Bill Vorhies, Editorial Director — Data Science Central
