Columnar Storage + Python: Powering Modern Data Science and Analytics

Over the past several years, we’ve seen databases evolve to handle the increasing demands of applications and solutions. Adapting to the growing volume and velocity of data ingestion has been at the forefront of modern database innovation. In response, MariaDB created a columnar storage engine, ColumnStore, capable of handling real-time analytics on billions of rows and terabytes of data. Using distributed data and massively parallel processing (MPP) mechanisms, MariaDB Platform can easily scale out massive analytical workloads. In this webinar we’ll examine how MariaDB Platform can be used as a distributed, columnar database. We’ll also take a closer look at the ColumnStore architecture, exploring how it can be combined with MariaDB’s new Python connector to create robust solutions to modern-day data science and analytical problems. Watch this webinar to discover:

MariaDB’s powerful analytical capabilities and how they work

How the combination of columnar storage and Python addresses today’s data science problems

How to utilize MariaDB ColumnStore and MariaDB Connector/Python – via a live coding demo