Analytics databases in a startup environment: beyond MySQL and Spark

Picking the right tools in a startup environment can save a lot of time and resources for the team to focus on the real business priorities — with short-term and long-term advantages and disadvantages as well. This talk summarizes my experiences from different companies, using various databases, including MySQL, Postges, SQL Server, MongoDB, CouchDB, Redis, Redshift, S3, Athena, Snowflake and Spark.

Daróczi Gergely
Senior Director of Data Operations, System1

Gergely Daróczi is an enthusiast R user and package developer, Ph.D. candidate in Sociology, former assistant professor and founder/CTO of an R-based web application at rapporter.net, ex Lead R Developer & Research Data Scientist, then Director of Analytics at CARD.com, currently working as the Senior Director of Data Operations at System1 with a strong interest in designing a scalable data platform built on the top of R, AWS and a dozen APIs. He maintains some CRAN packages mainly dealing with reporting and API integrations, co-authored a number of journal articles in social and medical sciences, and wrote a book on “Mastering Data Analysis with R”.