Looker is Google’s enterprise business intelligence platform for analyzing and acting on governed data. In this episode of Serverless Expeditions Extended, Martin teams up with Chris to discuss and walk through machine learning in Looker. Watch along and learn how organizations use Looker to build custom data workflows that empower users to make better business decisions. Chapters.

Are you having trouble creating and running scheduled jobs in BigQuery, and would like to implement it in your production and development pipelines? Check out this video where we will be discussing BigQuery's scheduled queries feature, and the IAM permissions needed to create and configure them. We will show you how to configure and schedule queries and the configuration options available. Watch this video to learn some important caveats and how to overcome them while using scheduled queries in BigQuery.

Would you like to know how to manage your workloads efficiently? Are you interested in learning how to share the slots across different workloads/projects?

Welcome back to the marketing analytics series where we teach practitioners about Google Cloud marketing analytics solutions. In this video, Kelci shows how you can democratize marketing data with BigQuery and Looker. Watch to see how you can use Looker Blocks and Looker Action to help your company achieve a successful marketing mata strategy and share insights across your organization. Chapters.

Are you working with separate systems to analyze structured and unstructured data? Introducing BigQuery object tables, a new type of table in BigQuery that provides a structured record interface for unstructured data in Google Cloud Storage. Watch to see how object tables extend Google data cloud’s best practices of securing, sharing, and governing structured data to unstructured, without needing to learn or deploy new tools.

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.