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Big Data Meets Edge Computing With Fastly’s Real-Time Google BigQuery Integration

By   /  August 22, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Fastly, the edge cloud platform, has announced a new integration with Google BigQuery that combines the benefits of edge computing with BigQuery’s powerful big data analytics platform. The first in a number of planned integrations with Google Cloud Platform, this collaboration provides companies with an unlimited, real-time edge data pipeline. The big data analytics market will soon surpass $200 billion; as forward-thinking companies move more logic to the edge, this integration provides a unique solution for companies looking to maximize edge computing power for real-time big data analysis, eliminating slow, expensive, origin-based data processing pipelines.”

The release goes on, “Companies like The New York Times rely on Fastly’s BigQuery integration for real-time insights into website pageviews and usage by demographic, geo location, and other dimensions. Fastly log data can even be combined with additional data sources such as Google Analytics, Google Ads data, security, and firewall logs. With a growing customer base including Vimeo, Spotify, and Gannett, Fastly is already streaming tens of millions of data points an hour from the edge into BigQuery for real-time analysis. ‘At The New York Times, we are focused on providing long-term value to our readers, and to do that we need deep insight into each reader’s path from acquaintance to committed subscriber,’ said Nick Rockwell, CTO at The New York Times. ‘With Fastly’s BigQuery integration, we can capture edge data and join to our other key data streams, to improve our understanding and produce a better experience for our 150 million unique monthly visitors’.”

Read more at Marketwired.

Photo credit: Fastly

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