Market Overview

Looker Enhances Data Science Capability With Integration for Google BigQuery ML


Removes machine learning bottlenecks and empowers business users with
self-serve predictive metrics

a leading data platform company, today announced an integration with
Google Cloud BigQuery ML (BQML) that accelerates the time-to-value of
data science workflows and allows business users to operationalize
insights with interactive predictive metrics.

With Looker and BigQuery ML, data teams can now save time and eliminate
unnecessary processes by creating machine learning (ML) models directly
in BigQuery via Looker – without the need to transfer data into
additional ML tools. BigQuery ML predictive functionality will also be
integrated into new or existing Looker
allowing users to surface predictive measures in dashboards
and applications.

"Much of the work in machine learning centers around data preparation
and ML model evaluation and tuning," said Lloyd Tabb, Looker Co-founder,
Chairman and CTO. "Looker and BigQuery ML are great together in that
Looker handles the data preparation and BigQuery ML does the learning.
Looker can also help you evaluate and tune ML models to integrate
predictions into dashboards and data workflows. We look forward to
continuing our work with Google and bringing BigQuery ML capability to
Looker Blocks."

"BigQuery ML brings machine learning closer to where customers are
storing large datasets, so they can quickly create and deploy models, at
scale," said Sudhir Hasbe, Director of Product Management, Google Cloud.
"Looker's integration with BigQuery ML adds powerful capabilities for
our joint customers who can now use Looker to run ML models directly in
BigQuery and surface the predictive insights across their organizations."

"Looker and BigQuery have allowed us to arm our content creators,
producers and every department at BuzzFeed with the data and insights
they need to make decisions and iterate rapidly," said Nick Hardy, Data
Scientist at BuzzFeed. "With the introduction of BigQuery ML, we can
further expand the ways these products are impacting our Data Science
workflow — we're excited to see what new opportunities it unlocks."

Looker Accelerates the Data Science Workflow

Looker provides a single, governed lens into an entire organization's
data. It accelerates the data science stack by removing the struggle to
prepare data and freeing up time for data scientists to leverage ML at
scale and use their unique skill set to perform higher-value tasks.
Unified and cleaned data also delivers efficiency and clarity by quickly
and accurately surfacing business insights for better context.
Businesses can now move from data to decisions faster by leveraging
leading analytic technologies to operationalize the outputs of ML models
and take action instantly.

Learn More About Looker and Google BigQuery ML

About Looker

Looker is a complete data platform that offers data analytics and
business insights to every department, and easily integrates into
applications to deliver data directly into the decision-making process.
Over 1,600 industry-leading and innovative companies such as Sony,
Amazon, The Economist, IBM, Spotify, Etsy, Lyft and Kickstarter have
trusted Looker to power their data-driven cultures. The company is
headquartered in Santa Cruz, California, with offices in San Francisco,
New York, Chicago, Boulder, London and Dublin, Ireland. Investors
include CapitalG, Kleiner Perkins Caufield & Byers, Meritech Capital
Partners, Redpoint Ventures, First Round Capital, Sapphire Ventures and
Goldman Sachs. For more information, connect with us on LinkedIn,
and YouTube
or visit

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