Track Your Cloud Costs with BigQuery for Easy Analysis
Mark MirchandaniGoogle Cloud Developer Advocate Export your billing data to BigQuery to keep track of your cloud costs Regular file export for Google Cloud billing is going away on May 15th! Try out this interactive tutorial to set up exporting and explore your billing data with BigQuery…
Introducing BigQuery Partner Center — a new way to discover and leverage integrated partner solutions
Google are committed to building the most open and extensible Data Cloud. Google want to provide our customers with more flexibility, interoperability and agility when building analytics solutions using BigQuery and tightly integrated partner products. Google have therefore significantly expanded our Data Cloud partner ecosystem, and are…
Announcing new BigQuery inference engine to bring ML closer to your data
Organizations worldwide are excited about the potential of Artificial Intelligence and Machine Learning capabilities. However, according to HBR, only 20% see their ML models go into production because ML often is deployed separately from their core data analytics environment. To bridge this increasing gap between data…
New BigQuery editions: flexibility and predictability for your data cloud
When it comes to their data platforms, organizations want flexibility, predictable pricing, and the best price performance. Today at the Data Cloud & AI Summit, Google are announcing BigQuery editions with three pricing tiers — Standard, Enterprise and Enterprise Plus — for you to choose from,…
Secure and privacy-centric sharing with data clean rooms in BigQuery
Businesses across industries share data, combining first-party data with external sources to obtain new insights and collaborate with partners. In fact, 6000+ organizations share over 275 PBs of data across organizational boundaries every week using BigQuery. Last year, we launched in market Analytics Hub, built on…
How to do multivariate time series forecasting in BigQuery ML
Companies across industries rely heavily on time series forecasting to project product demand, forecast sales, project online subscription/cancellation, and for many other use cases. This makes time series forecasting one of the most popular models in BigQuery ML. What is multivariate time series forecasting? For…
Built with BigQuery: How Oden provides actionable recommendations with network resiliency to optimize manufacturing processes
Background The Oden Technologies solution is an analytics layer for manufacturers that combines and analyzes all process information from machines and production systems to give real-time visibility to the biggest causes of inefficiency and recommendations to address them. Oden empowers front-line plant teams to make effective decisions,…
How to use advance feature engineering to preprocess data in BigQuery ML
Preprocessing and transforming raw data into features is a critical but time consuming step in the ML process. This is especially true when a data scientist or data engineer has to move data across different platforms to do MLOps. In this blogpost, Google describe how we…
Demystifying BigQuery BI Engine
BigQuery BI Engine is a fast, in-memory analysis system for BigQuery currently processing over 2 billion queries per month and growing. BigQuery has its roots in Google’s Dremel system and is a data warehouse built with scalability as a goal. On the other hand BI…
Built with BigQuery: Lytics launches secure data sharing and enrichment solution on Google Cloud
Background and Context A Customer Data Platform (CDP) provides a monolithic view of the customer by collecting data from various sources to provide accessibility across different systems. CDPs are becoming increasingly vital as companies look to improve customer experience, engagement and personalization. Among the different…
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Recent Posts
- Advancing the art of AI-driven security with Google Cloud
- Introducing multimodal and structured data embedding support in BigQuery
- Five ways to foster team culture and community with Google Chat
- 5 ways AI and no-code innovations are easier to adopt in 2024
- Introducing stronger default Org Policies for our customers
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