Systems | Development | Analytics | API | Testing

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.

Cortex Data Foundation for SAP provides templates, solution content, deployment accelerators, and reference architecture to solve business problems. In this video, Lucia Subatin takes a deep dive into the technical details of Cortex Data Foundation for SAP by providing the recipe, ingredients, and some pro tips to deploy the data foundation solution content. Put on your chef’s hat and apron and get ready to start deploying!

What is BigQuery and how can it help you gain new insights from your SAP data? In this video, Kevin Nelson, a Developer Advocate at Google Cloud, will demonstrate how to integrate your SAP data with BigQuery to help drive new insights across your organization and give more power to your data analytics users. Chapters: product: Cloud - General; fullname: Kevin Nelson;