Scalable. Cost-effective. Flexible.

Experience rich real-time analytics, worry-free infrastructure management, & best-in-class intelligent data technology.

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Why Looker and BigQuery?

Rich, interactive dashboards and reports paired with uncompromising performance, scale, enterprise-grade security, and data freshness are just the start. When you choose Looker and BigQuery for your data stack, you’re choosing:

The competitive advantage of real-time analytics. Looker’s in-database architecture paired with BigQuery’s Stream API lets you see and analyze events as they happen.
Easier access to machine learning insights. Configure machine learning models in BigQuery using a SQL interface, then bring those ML-powered insights to the business stakeholders who will best understand them through Looker.
Reduced operational overhead. BigQuery’s serverless architecture scales up and down automatically to meet your business needs.
Insights everyone can access and trust. Looker’s ability to centrally define metrics and deliver them to everyone in your organization can help turn more of your people into data people.

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Google Cloud

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Google Cloud

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Google Cloud

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Google Cloud

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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Google Cloud

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Pushing the limits of BigQuery with Kabam

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Fast analytics at scale with Google BigQuery

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Break
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Lunch
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Happy hour

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Fast analytics at scale with Google BigQuery

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10:40 AM–11:00 AM

Break
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11:20 AM–11:40 AM

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Happy hour

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8:30 AM–09:30 AM

Registrations
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Firstname Lastname, Position, Company XYZ
9:40 AM–10:00 AM

Pushing the limits of BigQuery with Kabam

Firstname Lastname, Position, Company XYZ
10:00 AM–10:40 AM

Fast analytics at scale with Google BigQuery

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10:40 AM–11:00 AM

Break
11:00 AM–11:20 AM

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11:20 AM–11:40 AM

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1:40 PM–02:40 PM

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8:30 AM–09:30 AM

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9:30 AM–09:40 AM

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Firstname Lastname, Position, Company XYZ
9:40 AM–10:00 AM

Pushing the limits of BigQuery with Kabam

Firstname Lastname, Position, Company XYZ
10:00 AM–10:40 AM

Fast analytics at scale with Google BigQuery

Speaker: Name, Title, Organization
10:40 AM–11:00 AM

Break
11:00 AM–11:20 AM

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11:20 AM–11:40 AM

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11:40 AM–12:40 PM

Lunch
12:40 PM–01:00 PM

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1:00 PM–01:20 PM

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1:40 PM–02:40 PM

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Happy hour

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8:30 AM–09:30 AM

Registrations

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9:30 AM–09:40 AM

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Firstname Lastname, Position, Company XYZ
9:40 AM–10:00 AM

Pushing the limits of BigQuery with Kabam

Firstname Lastname, Position, Company XYZ

Pushing the limits of BigQuery with Kabam

Firstname Lastname, Position, Company XYZ

Pushing the limits of BigQuery with Kabam

Firstname Lastname, Position, Company XYZ

Agenda

Track 1

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8:30 AM–09:30 AM

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9:30 AM–09:40 AM

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9:40 AM–10:00 AM

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Pushing the limits of BigQuery with Kabam

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Scalable. Cost-effective. Flexible.

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Scalable. Cost-effective. Flexible.

Why Looker and BigQuery?

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