A Free Chartio Webinar
Massively parallel processing and columnar storage are widely recognized today as key technologies for analyzing large data sets.
Historically, it has been difficult to find solutions in the Postgres ecosystem that provide these capabilities without resorting to replication hacks or incompatible forked distributions.
Fortunately, Citus Data has developed a Postgres extension that provides clustered parallel processing and columnar storage.
Join our webinar with Marco Slot of Citus Data and AJ Welch of Chartio and learn how you can scale out PostgreSQL to manage and gain actionable business intelligence from your Big Data.
In this webinar we will discuss:
Duration: 45 minutes
AJ Welch is a Data Engineer at Chartio. AJ is an expert in helping clients build data warehousing and BI solutions to improve their analytic capabilities
Marco is a software engineer at Citus Data where he works on scaling out PostgreSQL. He has an M.S. in Parallel and Distributed Computer Systems from VU University Amsterdam and a PhD on cooperative self-driving cars at Trinity College Dublin. While studying, he also worked as a software engineer on Amazon CloudFront and Route 53 for several years.