317 results

1. Lab Featured

   Visualizing Data with Google Data Studio

   This lab demonstrates how to use Google Data Studio to visualize data stored in Google BigQuery.

2. Course Featured

   Google Cloud Solutions II: Data and Machine Learning

   In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architectur…

3. Lab Featured

   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.

4. Lab Featured

   Data Catalog: Qwik Start

   In this lab, you explore existing datasets with Data Catalog and mine the table and column metadata for insights.

5. Course Featured

   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…

6. Lab Featured

   Streaming Data to Bigtable

   In this lab, you launch a Dataflow pipeline to load streaming data from Pub/Sub into Bigtable.

7. Course Featured

   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…

8. Lab Featured

   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.

9. Lab Featured

   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.

10. Lab Featured

    Redacting Confidential Data within your Pipelines in Cloud Data Fusion

    In this lab you wil learn how to use the Cloud Data Fusion plugin for Cloud DLP to redact sensitive data.