Join us at Google Data Cloud Live: Seattle

Join us for a half day of learning and innovation, exploring how you can harness the power of data to make smarter business decisions and solve your most complex challenges.
November 15, 2022 1:00 PM–5:30 PM PST
Google Seattle (SLU)
1021 Valley Street
Seattle, WA 98109

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November 15, 2022 1:00 PM–5:30 PM
Google Seattle (SLU)

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November 15, 2022 1:00 PM–5:30 PM
Google Seattle (SLU)

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H1 60 characters et ipsum dolor sit amet phaerta et purus

November 15, 2022 1:00 PM–5:30 PM
Google Seattle (SLU)

H1 60 characters et ipsum dolor sit amet phaerta et purus

November 15, 2022 1:00 PM–5:30 PM
Google Seattle (SLU)

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180 characters lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris id auctor erat. Mauris cursus pharetra purus, et blandit magna condimentum et felis.

November 15, 2022 1:00 PM–5:30 PM
Google Seattle (SLU)

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You’re invited to Google Data Cloud Live: Seattle

Google Data Cloud Live is coming to Seattle and will feature technology leaders and data professionals who will share insights on how you can capitalize on the next wave of data solutions. You'll have the opportunity to learn about the many ways that you and your organization can make smarter decisions and solve complex challenges with key innovations in AI, machine learning, and analytics.

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November 15, 2022
1:00 PM–5:30 PM
Google Seattle (SLU)
1021 Valley Street
Seattle, WA 98109

Speakers

Bruno Aziza

Head of Data & Analytics,

Google Cloud

Keelin McDonell

Product Strategy – AI,

Google Cloud

Bibin Varghese

Customer Engineer,

Google Cloud

Rupal Shah

Customer Engineer, Analytics Specialist

Google Cloud

Chad Jennings

Sr. Product Manager,
Data Analytics & Geospatial Analytics,

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

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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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
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    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
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  • 1:20 PM–01:40 PM
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  • 1:40 PM–02:40 PM
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  • 2:40 PM–03:40 PM
    Happy hour
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Agenda

  • 1:00 PM–1:30 PM
    Registration & Networking
  • 1:30 PM–1:45 PM
    Opening Keynote
  • 1:45 PM–2:25 PM
    Data Analytics Product Roadmap - Unlocking Innovation with Limitless Data

    As we enter the next phase of digital transformation, leading organizations can differentiate and offer increased value to their customers by using data to drive innovation. The ability to manage every stage of the data life cycle across data warehouses, data lakes, and rich data-driven experiences with a complete and unified data cloud can break down silos, improve operational efficiency, and unlock innovation.

    With built-in industry leading machine learning and AI, Google Cloud brings a strategic, best-in-breed data platform to organizations looking to fuel their transformations and growth. Learn the latest Google Cloud strategy for data analytics, including the latest product innovations and how you can accelerate your data cloud journey.
  • 2:25 PM–2:40 PM
    Break
  • 2:40 PM–3:20 PM
    Data Lake Modernization - Data Warehouses & Data Lakes

    Valuable analytical data continues to grow and is increasingly distributed. Data silos mean enterprises often need to move data across storage tiers first to perform analytics, which is expensive. Built on years of investment in BigQuery, BigLake is a storage engine that unifies data warehouses and data lakes by providing uniform fine-grained access control and performance acceleration across multi-cloud storage and open formats. Learn how BigLake can help your organization:

    • Unlock analytics on distributed data without writing new infrastructure
    • Expand analytics and machine learning use cases with compute engines of choice
    • Unify data governance & data management at scale
  • 3:20 PM–4:00 PM
    AI/ML Strategy & Product Roadmap

    Enterprises use Vertex AI to generate accurate and real-time business insights with all of the machine learning tools they need. Historically, the data to the ML workflow has been subject to silos and context switching. With Vertex AI, new innovations bring together Google Cloud’s data, analytics, and AI tools to enable business analysts, data scientists, and ML engineers to collaborate, ingesting and analyzing data as they build, deploy, and manage ML models within one user interface.
  • 4:00 PM–4:30 PM
    Panel Discussion & Closing
  • 4:30 PM–5:30 PM
    Networking Reception

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

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

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