WP Engine's Story on Data-Driven Business Transformation With BigQuery (Cloud Next '19)

Опубликовано 11 апреля 2019, 19:39

WP Engine recently transformed how it ingests, processes, cleans, analyzes, and reports on corporate data — including big data at 9 billion new records per day — using BigQuery and Data Studio. The classic extract, transform, and load (ETL) process is still the right architecture for extracting data from external sources including MySQL, APIs, and CSVs, transforming business logic, cleaning the data, and then documenting the results, however the modern era demands modern tools.

In this session, you’ll hear from WP Engine Founder and CTO Jason Cohen on best practices for driving business transformation with data, based on how the company leveraged BigQuery, Data Studio, ETL and more to run queries across the company’s trillions of data points to create data-driven business decisions.

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Watch more:
Next '19 Data Analytics Sessions here → bit.ly/Next19DataAnalytics
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions

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Speaker(s): Jason Cohen

Session ID: DA209

event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - Data Analytics - Google Data Studio, Cloud - Data Analytics - BigQuery; fullname: Jason Cohen;