Mountain View, CA, USA
Nov 27, 2018 | By Fern Halper
As more and more businesses turn to advanced data analytics to help them make smarter decisions, run real-time analytics, and improve business operations, an increasing number are modernizing their data warehouses to make it all possible. For many businesses, knowing how to modernize means understanding where their data warehouse sits on the spectrum between traditional and cutting edge. To help, we collaborated with TDWI to offer the data warehouse maturity assessment.
Nov 20, 2018 | By John Day
There are plenty of trends and hot topics in the enterprise technology market today. One common area we hear about from users is that there’s a lot of data to collect, manage, and analyze. And whatever industry you’re in, you probably want to do something more with your data. We built BigQuery, one of the important tools in the Google Cloud Platform (GCP) arsenal, to provide serverless cloud data warehousing and analytics with built-in machine learning to meet modern data needs.
Oct 30, 2018 | By Jordan Tigani
As more and more businesses look to the cloud to store and manage their data, an increasing number are embracing BigQuery as their serverless, highly scalable, enterprise data warehouse.
Oct 12, 2018 | By Michael Saunders
This month we released several new features in beta, including query scheduling, new BigQuery ML models and functions, and geospatial types and queries. We also released the ORC ingest format into GA. Let’s take a closer look at these features and what they might mean for you.
Oct 10, 2018 | By Sudhir Hasbe
BigQuery, Google Cloud’s serverless, highly scalable, low-cost, enterprise data warehouse, was designed to make data analysts productive. With no infrastructure to manage, customers can focus on analyzing data using familiar Standard SQL, while simplifying database administration and data operations. Large enterprises, mid-market growing organizations, and cloud native startups across the globe can use BigQuery to perform analytics at scale with equal ease.
Nov 26, 2018 | By Google Cloud Platform
Large datasets in BigQuery might make it cost prohibitive to scale dashboard solutions. Unless carefully designed, solutions can lead to queries piling up with repeated viewing and result in significant costs in BigQuery. Google Data Studio lets users build interactive shareable data visualizations using their BigQuery data.
Nov 8, 2018 | By Google Cloud Platform
Geotab is one of the world's leading asset tracking companies, with more than 1M vehicles under service every day. They use BigQuery as their enterprise data warehouse to derive new insights from their location data – opening up new possibilities of value for their customers and entirely new lines of business.
Oct 17, 2018 | By Google Cloud Platform
Fiona Zhao, Senior Data Scientist at Geotab, shares insights on how you can utilize data to better your workflow, make intelligent decisions, and boost efficiency. Geotab receives about 2.1 billion data points daily from tracking fleets of vehicles’ location, fuel consumption, engine diagnostics, and safety compliance.