Democratising Data – How We Built a Self-serve Data Platform

Big Data LDN 2019 | Democratising Data – How We Built a Self-serve Data Platform | Edward Kent
Course info
Level
Intermediate
Updated
Dec 17, 2019
Duration
26m
Table of contents
Democratising Data – How We Built a Self-serve Data Platform
Description
Course info
Level
Intermediate
Updated
Dec 17, 2019
Duration
26m
Description

Auto Trader is the UK's leading digital automotive marketplace. They receive 60 million cross-platform visits each month. Interpreting the vast quantity of data we collect is essential for their success and the success of their customers. Three years ago, Auto Trader started building a new cloud-based data platform. Their mission was to empower the company and their customers to make informed data-driven decisions, by democratizing access to data and promoting a self-serve platform. They wanted to increase their capability for complex analyses and data-science-led data products, while making it easier than ever before for new users to access the data they need. Edward Kent will walk you through the architecture of Auto Trader's multi-cloud data platform and the various tools they are using to fulfill this mission, including AWS S3, Apache Spark, Databricks, Google BigQuery, and Looker.

About the author
About the author

Big Data LDN is the UK’s largest data and analytics conference and exhibition.

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