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…
How to plan your SQL Server migration to Cloud SQL
A SQL Server DBA has many options for transferring data from one SQL Server instance to a new environment – those options can be overwhelming. This blog aims to help you decide what option you might want to choose for your specific migration scenario. We’ll…
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…
Log Analytics in Cloud Logging is now GA
Solving big problems usually takes a combination of the right people and the right tools. SRE, DevOps, and IT operations teams in organizations both big and small have used Google Cloud’s built-in logging service, Cloud Logging, to troubleshoot faster, recognize trends easier, and scale operations…
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…
How to deploy Tink for BigQuery encryption on-prem and in the cloud
Data security is a key focus for organizations moving their data warehouses from on-premises to cloud-first systems, such as BigQuery. In addition to storage-level encryption, whether using Google-managed or customer-managed keys, BigQuery also provides column-level encryption. Using BigQuery’s SQL AEAD functions, organizations can enforce a more granular level of…
Transforming customer experiences with modern cloud database capabilities
From professional sports leagues to kidney care and digital commerce, Google Cloud databases enable organizations to develop radically transformative experiences for their users. The stories of how Google Cloud Databases have helped Box, Credit Karma, Davita, Forbes, MLB, and PLAID build data-driven applications is truly…
Self-service analytics from ThoughtSpot comes to Google Sheets
Today’s workplace is data intensive. This is why, even in a modern data stack world full of incredible business intelligence tools, “good ol’ reliable” spreadsheets are still commonly used to wrangle data problems big and small. Data is everywhere, so why aren’t insights? While companies recognize the value data…
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Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
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