Google BigQuery

Mountain View, CA, USA
2010
Nov 19, 2022   |  By Dr. Ali Arsanjani
Connected-Stories NEXT is an end-to-end creative management platform built on Google Cloud to develop, serve, and optimize interactive video and display ads that scale across any channel.
Nov 17, 2022   |  By Omar Marzouk
BigQuery performance helps Soundtrack Your Brand transform big data into music to offer businesses personalized music recommendations.
Nov 8, 2022   |  By Zakia Bulgot
BigQuery’s impressive performance reduces processing time from months to hours and delivers on-demand real-world insights for Telus.
Nov 2, 2022   |  By Shaun Haerinck
True Fit, a data-driven personalization platform built on Google Data Cloud to provide fit personalization for retailers by sharing curated datasets.
Nov 1, 2022   |  By Sudhir Hasbe
A performance study on real-time data Integration from Oracle to Google BigQuery Using Striim.
Oct 28, 2022   |  By Yemi Falokun
Sibros’ Connected Vehicle Platform on Google Cloud delivers OTA data updates, collection, and commands with the flexibility and scale of the cloud
Oct 27, 2022   |  By Abhinav Khushraj
BigQuery ML reduces data to AI barrier by making it easy to manage the end-to-end lifecycle from exploration to operationalizing ML models using SQL.
Oct 24, 2022   |  By Daniel J. Lewis
Today, we’re hearing from telematics solutions company Geotab about how Google BigQuery enables them to democratize data across their entire organization and reduce the complexity of their data pipelines.
Oct 20, 2022   |  By Christopher Crosbie
Our mission at Google Cloud is to help our customers fuel data driven transformations. As a step towards this, BigQuery is removing its limit as a SQL-only interface and providing new developer extensions for workloads that require programming beyond SQL. These flexible programming extensions are all offered without the limitations of running virtual servers.
Oct 20, 2022   |  By Candice Chen
Most commonly, data teams have worked with structured data. Unstructured data, which includes images, documents, and videos, will account for up to 80 percent of data by 2025. However, organizations currently use only a small percentage of this data to derive useful insights. One of main ways to extract value from unstructured data is by applying ML to the data.
Nov 17, 2022   |  By Google BigQuery
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.
Nov 15, 2022   |  By Google BigQuery
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.
Nov 2, 2022   |  By Google BigQuery
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.
Oct 19, 2022   |  By Google BigQuery
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.
Oct 8, 2022   |  By Google 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.
Sep 15, 2022   |  By Google BigQuery
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!
Aug 30, 2022   |  By Google 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.
Aug 18, 2022   |  By Google 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!
Aug 4, 2022   |  By Google 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.
Jul 28, 2022   |  By Google BigQuery
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

BigQuery is Google's serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.

Analyze all your data by creating a logical data warehouse over managed, columnar storage, as well as data from object storage and spreadsheets. Build and operationalize machine learning solutions with simple SQL. Easily and securely share insights within your organization and beyond as datasets, queries, spreadsheets, and reports. BigQuery allows organizations to capture and analyze data in real time using its powerful streaming ingestion capability so that your insights are always current, and it’s free for up to 1 TB of data analyzed each month and 10 GB of data stored.