The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. Google Cloud Skills Boost provides real Google Cloud environments that help developers and IT professionals learn cloud platforms and software, such as Firebase, Kubernetes, and more.

Welcome back to the Marketing Analytics Series! In this video, Kelci will demonstrate how to ingest and query marketing data with BigQuery. From an augmented understanding of your data to leveraging BigQuery’s public datasets, discover how you too can break down marketing data silos with BigQuery.

How does a tweet go from one person to hundreds of millions of people? How does the data process so quickly? In this episode of Architecting with Google Cloud, Priyanka chats with Gary and Saurabh from Twitter about how data from over 200 million users goes through the Twitter data center and Google Cloud. Watch along and learn how data stored across tens of thousands of BigQuery tables in Google Cloud runs millions of queries each month.

Datastream is a serverless and easy-to-use change data capture and replication service that makes it easy to replicate data from operational databases into BigQuery reliably and with minimal latency. In this video, Gabe Weiss, Developer Advocate at Google, discusses setting up real-time replication from Cloud SQL to BigQuery. Watch along and learn how to get started with Datastream for BigQuery!

Do you have lots of Hive ACID tables that you are looking to migrate to Google BigQuery? In this video, Anu Venkataraman, Strategic Cloud Engineer at Google, discusses an approach to migrate Hive ACID tables to BigQuery.

How can you deliver data from Looker to third-party services through a custom action hub server? In this episode of Serverless Expeditions Extended, we walk through code to send data from Looker to BigQuery through Cloud Functions. Watch to learn how you can export data from Looker to BigQuery!

How does Martin optimize data for business analytics? In this Serverless Expeditions Shorts, Martin describes how he leverages the power of BigQuery to efficiently run queries across millions of records to drive business decisions.

Here to bring you the latest news in the startup program by Google Cloud are Valeriya Shin and Mathilde Bachy! Welcome to the second season of the Google Cloud Technical Guides for Startups - the Build Series. Build Series - Episode 4: How to get started with BigQuery

Want to bring data from BigQuery into your Google Cloud AI models? In this video, we’ll show you how quickly you can start exploring your BigQuery data using Vertex AI Workbench. Watch to see how you can set up a single interface for your model development needs!

Did you know there is native integration between Vertex AI and BigQuery ML? With unified cloud data, your machine learning pipelines will have multiple options for training and storing/accessing data. Watch along and learn about the new native integrations between Vertex AI and BigQuery ML for Google Cloud.