Built with BigQuery: How Ternary turns customers' cloud-spending pain into gain
Ternary consolidates billing data from customers’ cloud service providers, ISVs, and other data sources using BigQuery and other Google Cloud services.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
July 2023
Unlock insights faster from your MySQL data in BigQuery
Unlock insights faster from your MySQL data in BigQuery through Dataflow JDBC Templates.
Geospatial analytics on our radar #EarthEngine #BigQuery
In this episode of Radar Release, learn about the deeper interoperability between Google’s Earth Engine and BigQuery services. Learn about scaling large data while making it accessible to more users.
How to use custom holidays for time-series forecasting in BigQuery ML
With custom holiday modeling features, BigQuery users can build more powerful and accurate time-series forecasting models using BigQuery ML.
How to use advance feature engineering to preprocess data in BigQuery ML
How to preprocess data using BigQuery ML so you can get better insights and models.
Join optimizations with BigQuery primary keys and foreign keys
Understand how unenforced Key Constraints can benefit queries in BigQuery.
BigQuery Cost Optimization: Storage
Highlights ways for developers and administrators to optimize their storage spend in BigQuery.
BigQuery Cost Optimization: Compute
Highlights for developers and administrators how to optimize compute spend in BigQuery.
BigQuery Cost Optimization: Select Queries
Highlights ways for developers and administrators to improve cost and performance of SELECT queries in BigQuery.
A connector to bring Earth Engine and BigQuery closer together for geospatial analytics
Earth Engine and BigQuery share the goal of making large-scale data processing accessible and usable by a wider range of people and applications.
Introducing the Hive-BigQuery open-source Connector
With the open-source Hive-BigQuery Connector, you now can let Apache Hive workloads read and write to BigQuery and BigLake tables.