How innovative startups are growing their businesses on Google’s open data cloud
Data is one of the single most valuable assets for organizations today. It can empower businesses to do incredible things like create better views of health for hospitals, enable people to share timely insights with their colleagues, and — increasingly — be a foundational building block for startups…
How to migrate Cloud Storage data from multi-region to regional
There are many considerations to take into account when choosing the location type of your Cloud Storage bucket. However, as business needs change, you may find that regional storage offers lower cost and/or better performance than multi-region or dual-region storage. By design, once your data is already…
Better together: Looker connector for Looker Studio now generally available
Today’s leading organizations want to ensure their business users get fast access to data with real-time governed metrics, so they can make better business decisions. Last April, Google announced Google unified BI experience, bringing together both self-serve and governed BI. Now, Google are making our Looker connector…
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…
ABBANK Adopts Google Cloud to Accelerate Digital Transformation
*From left to right Ms Quyen Truong – Cloud Ace Vietnam Deputy General Directornaging DirectorMr Tran Viet Thang – ABBANK Head of Technology Division Ms Nguyen Thi Huong – ABBANK Deputy General Director, cum Director of General DivisionMs. Malis Selamat – Google Cloud Country Director, Vietnam…
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…