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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

Intermediate
26m
(1)

Created by Big Data LDN

Last Updated Jun 07, 2021

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  • Course

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

Intermediate
26m
(1)

Created by Big Data LDN

Last Updated Jun 07, 2021

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  • Data
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.

Democratising Data – How We Built a Self-serve Data Platform
Intermediate
26m
(1)
Table of contents

About the author
Big Data LDN - Pluralsight course - Democratising Data – How We Built a Self-serve Data Platform
Big Data LDN
143 courses 4.1 author rating 297 ratings

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