Built with BigQuery: How True Fit's data journey unlocks partner growth
True Fit, a data-driven personalization platform built on Google Data Cloud to provide fit personalization for retailers by sharing curated datasets.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Google BigQuery
BigQuery, Google's Enterprise Data Warehouse
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.
Real-time Data Integration from Oracle to Google BigQuery Using Striim
A performance study on real-time data Integration from Oracle to Google BigQuery Using Striim.
Unlocking the power of connected vehicle data and advanced analytics with BigQuery
Sibros’ Connected Vehicle Platform on Google Cloud delivers OTA data updates, collection, and commands with the flexibility and scale of the cloud
Accelerate your data to AI journey with new features in BigQuery ML
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.
BigQuery's performance and scale means that everyone gets to play
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.
Build limitless workloads on BigQuery: New features beyond SQL
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.
Unlocking the value of unstructured data at scale using BigQuery ML and object tables
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.
Breaking down marketing data silos with 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.
How Twitter maximizes performance 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.