Analytics

The Predictive Analytics Journey

Times are tough – adversity is hitting our public sector and healthcare agencies from every angle. Budgets and resources are stretched beyond breaking point with many agencies facing multi-million real-term cuts. Combine this with an increase in complex demand, heightened public scrutiny and a continued expectation of improvement; something must change.

Astrazeneca: Building the Data Platform of the Future

AstraZeneca plc is a global, science-led biopharmaceutical company that is the world’s seventh-largest pharmaceutical business, with operations in more than 100 countries. The company focuses on the discovery, development, and commercialization of prescription medicines, which are used by millions of patients worldwide.

What's happening in BigQuery: a new ingest format, data type updates, ML, and query scheduling

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.

Please hold, your call is important

We’ve recently experienced two fairly large system problems that have affected approximately 35% of our clients. The first issue took 50 minutes to resolve and the other approximately 10 hours. The root cause in both cases was the way we handled the provisioning of adhoc sandboxes on top of our SnowflakeDB (a few words about “how we started w/ them”).

Three Critical Steps to Evangelize the New in Business Intelligence and Analytics

How do you protect the stability of the work you’ve already done, while evangelizing experimentation, exploration and progress within your organization? The rapid evolution in business intelligence and analytics capabilities is both exhilarating and overwhelming.

BigQuery arrives in the London region, with more regions to come

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.