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

by Big Data LDN

Big Data LDN 2019 | Democratising Data – How We Built a Self-serve Data Platform | Edward Kent

What you'll learn

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.

Table of contents

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

About the author

Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.

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