Google Cloud

If a company hopes to remain competitive in today’s hyper-connected world, it must speak to individuals, not broad segments. Businesses must consider all types of data generated by their customers—contextual and real-time, structured and unstructured—to deliver relevant and precise results on the most appropriate channel and device.

To ensure business resilience, companies must apply analytics to everyday scenarios, not just high-value or high-risk use cases. Data and Analytics ebook takes a deeper look at how companies take advantage of data extracted from their API program analytics to improve customer experience, expand their target market, and identify new revenue streams.

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Sunday, April 5th
6:30 - 9:30 PM

Dirty Habit
12 Fourth Street,
San Francisco, CA 94103

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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

Session Title

Speaker: Name, Title, Organization
11:20 AM–11:40 AM

Session Title

Speaker: Name, Title, Organization
11:40 AM–12:40 PM

Lunch
12:40 PM–01:00 PM

Session Title

Speaker: Name, Title, Organization
1:00 PM–01:20 PM

Session Title

Speaker: Name, Title, Organization
1:20 PM–01:40 PM

Session Title

Speaker: Name, Title, Organization
1:40 PM–02:40 PM

Closing keynote: Lorem ipsum dolor sit

Speaker: Name, Title, Organization
2:40 PM–03:40 PM

Happy hour

Agenda

Track 1

Track 2

8:30 AM–09:30 AM

Registrations

Registrations
9:30 AM–09:40 AM

Opening Keynote: Lorem ipsum dolor sit

Firstname Lastname, Position, Company XYZ

Opening Keynote: Lorem ipsum dolor sit

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

Track 1

Track 2

Track 3

8:30 AM–09:30 AM

Registrations

Registrations

Registrations
9:30 AM–09:40 AM

Opening Keynote: Lorem ipsum dolor sit

Firstname Lastname, Position, Company XYZ

Opening Keynote: Lorem ipsum dolor sit

Firstname Lastname, Position, Company XYZ

Opening Keynote: Lorem ipsum dolor sit

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

ALL DAY TRACKS

Day 1 Agenda

8:30 AM–09:30 AM

Registrations
9:30 AM–09:40 AM

Opening Keynote: Lorem ipsum dolor sit

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

Session Title

Speaker: Name, Title, Organization
11:20 AM–11:40 AM

Session Title

Speaker: Name, Title, Organization
11:40 AM–12:40 PM

Lunch
12:40 PM–01:00 PM

Session Title

Speaker: Name, Title, Organization
1:00 PM–01:20 PM

Session Title

Speaker: Name, Title, Organization
1:20 PM–01:40 PM

Session Title

Speaker: Name, Title, Organization
1:40 PM–02:40 PM

Closing keynote: Lorem ipsum dolor sit

Speaker: Name, Title, Organization
2:40 PM–03:40 PM

Happy hour

Day 2 Agenda

8:30 AM–09:30 AM

Registrations
9:30 AM–09:40 AM

Opening Keynote: Lorem ipsum dolor sit

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

Session Title

Speaker: Name, Title, Organization
11:20 AM–11:40 AM

Session Title

Speaker: Name, Title, Organization
11:40 AM–12:40 PM

Lunch
12:40 PM–01:00 PM

Session Title

Speaker: Name, Title, Organization
1:00 PM–01:20 PM

Session Title

Speaker: Name, Title, Organization
1:20 PM–01:40 PM

Session Title

Speaker: Name, Title, Organization
1:40 PM–02:40 PM

Closing keynote: Lorem ipsum dolor sit

Speaker: Name, Title, Organization
2:40 PM–03:40 PM

Happy hour

Day 3 Agenda

8:30 AM–09:30 AM

Registrations
9:30 AM–09:40 AM

Opening Keynote: Lorem ipsum dolor sit

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

Session Title

Speaker: Name, Title, Organization
11:20 AM–11:40 AM

Session Title

Speaker: Name, Title, Organization
11:40 AM–12:40 PM

Lunch
12:40 PM–01:00 PM

Session Title

Speaker: Name, Title, Organization
1:00 PM–01:20 PM

Session Title

Speaker: Name, Title, Organization
1:20 PM–01:40 PM

Session Title

Speaker: Name, Title, Organization
1:40 PM–02:40 PM

Closing keynote: Lorem ipsum dolor sit

Speaker: Name, Title, Organization
2:40 PM–03:40 PM

Happy hour

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Google Cloud

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Customer Engineer,

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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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Customer Engineer,

Google Cloud

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Is Apigee:

The Path of Most ResilienceChapter 3: Data and Analytics

Agenda

Agenda

Track 1

Track 2

Track 1

Track 2

Track 3

ALL DAY TRACKS

Day 1 Agenda

Day 2 Agenda

Day 3 Agenda

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Firstname Lastname

Firstname Lastname

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The Path of Most Resilience
Chapter 3: Data and Analytics