Testen Sie Ihre Datenanalysefähigkeiten mit den Experten

Wöchentliche BigQuery Data Challenge

Donnerstags
Online

Können Sie die BigQuery Data Challenge lösen?

Felipe Hoffa bietet wöchentlich ein neues Datenpuzzle, das es zu lösen gilt. Fragen Sie es so schnell wie möglich ab und zeigen Sie Ihr Können.

So gehts:

  1. Erstellen Sie ein Konto in BigQuery. Hier finden Sie eine Schritt-für-Schritt-Anleitung.
  2. Suchen Sie die 2 unten aufgeführten Anfragen
  3. Führen Sie die 2 Anfragen aus und erhalten Sie Ihre Ergebnisse
  4. Senden Sie Ihre Challenge-Ergebnisse über das Formular unten

Der Gewinner wird nach dem Zufallsprinzip aus allen korrekten Antworten ausgewählt und gewinnt ein Cloud-Guthaben von 500 $!

Challenge has closed. Thank you for your interest. We are no longer taking submissions. You will be directed to our training page in 5 seconds or click this link to go now.


Die Challenge dieser Woche


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

Hosts

Felipe Hoffa

Developer Advocate

 

Felipe Hoffa

Developer Advocate

 

Developer Advocate @Google. Aus Chile nach San Francisco und hinaus in die Welt.

2011 zog Felipe Hoffa von Chile nach San Francisco, um als Software Engineer bei Google anzufangen. Seit 2013 ist er als Developer Advocate für Big Data tätig. Er inspiriert Entwickler in aller Welt dazu, ihre Daten mit den Tools der Google Cloud Platform zu analysieren und besser zu verstehen als je zuvor. Sie finden ihn in mehreren YouTube-Videos, Blogposts und auf Konferenzen in aller Welt.

Folgen Sie Felipe unter @felipehoffa.


Eric Schmidt

Staff Developer Advocate

 

Eric Schmidt

Staff Developer Advocate

 

Eric leitet das Datenanalyse-Team für Developer Relations innerhalb von Google Cloud. Hier arbeitet er mit Kunden und Partnern gemeinsam an Workflows in den vertikalen Domains des Einzelhandels, der Finanzdienstleistungen sowie der Medien- und Unterhaltungsbranche.

Folgen Sie Eric unter @notthateric.


Shane Glass

Lead,

Google Cloud Public Datasets Program

Shane Glass

Lead,

Google Cloud Public Datasets Program

Shane ist Programm-Manager für Google Cloud Developer Relations. Er leitet das Google Cloud-Programm für öffentliche Datasets, das besonders gefragte öffentliche Datasets leichter zugänglich macht und so Nutzern den Zugriff und das Entdecken neuer Einblicke in der Cloud vereinfacht. Vor Google war Shane Projektmanager des Big Data Project von NOAA. Er dient außerdem als Offizier für öffentliche Angelegenheiten in der US Army Reserve. Seinen Bachelor hat er an der University of South Carolina und seinen Master in Data Analytics an der UMUC gemacht.


Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Firstname Lastname

Customer Engineer,

Google Cloud

Firstname Lastname

Customer Engineer

Google Cloud

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Silver

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h3 headline 30 characters max

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h3 headline 30 characters max

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Two-promo module. 40 characters max = two lines max on mobile.

h3 headline 30 characters max

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h3 headline 30 characters max

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