On-Demand-Aktivitäten
Finden Sie die für Sie richtigen On-Demand-Lernaktivitäten. Labs sind kurze Lernaktivitäten, in denen Ihnen über einen direkten, temporären, praxisorientierten Zugriff auf echte Cloud-Ressourcen spezifische Inhalte vermittelt werden. Kurse sind längere Aktivitäten, die aus mehreren Modulen mit Videos, Dokumenten, praxisorientierten Labs und Quizaufgaben bestehen. Aufgabenreihen sind ähnlich, aber in der Regel kürzer und enthalten nur Labs.
325 Ergebnisse
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Kurs Tipp BigQuery for Marketing Analysts
Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost…
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Lab Tipp Share Data using Google Data Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Share Data using Google Data Cloud course. Are you ready for the challenge?
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Lab Tipp Visualizing Data with Google Data Studio
This lab demonstrates how to use Google Data Studio to visualize data stored in Google BigQuery.
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Lab Tipp Data Publishing on BigQuery using Authorized Views for Data Sharing Partners
In this lab you will learn how Authorized Views in BigQuery can be used to share customer specific data from a Data Sharing Partner.
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Lab Tipp Data Catalog: Qwik Start
In this lab, you explore existing datasets with Data Catalog and mine the table and column metadata for insights.
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Kurs Tipp Share Data Using Google Data Cloud
Earn a skill badge by completing the Share Data Using Google Data Cloud course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platfor…
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Kurs Tipp NCAA® March Madness®: Bracketology with Google Cloud
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Lab Tipp Streaming Data to Bigtable
In this lab, you launch a Dataflow pipeline to load streaming data from Pub/Sub into Bigtable.
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Lab Tipp Exploring the Lineage of Data with Cloud Data Fusion
This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.
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Lab Tipp Redacting Sensitive Data with Cloud Data Loss Prevention
In this lab, you inspect strings and files for sensitive data and then practice using the Cloud Data Loss Prevention (DLP) API to protect data.