Google Cloud customers who want app-level encryption in hybrid cloud data warehouses can encrypt and decrypt that data outside BigQuery. Here’s how to do that securely.

The Chief Data Officer is arguably one of the most important roles at a company, particularly those that aspire to be data-driven. CDO appointments and the elevation of data leaders have accelerated in recent years, and the role has morphed as perceptions of data have evolved. Responsibilities span strategy and execution, people and processes, and the technology needed to deliver on the promise of data.

Built with BigQuery: How to Accelerate Data-Centric AI development with Google Cloud and Snorkel AI.

Organizations have been focused on enhancing customer experiences to enable quicker responses to services and to provide localized behavior for many years now. However, with the Internet of Things (IoT), Smart Cities, Gaming technologies and Self-Driving Cars going more mainstream, there is an even greater need for organizations to react faster to customer behavior and bring solutions closer to the customers.

Business Intelligence transforms raw data into actionable insights that support business decisions through reports, dashboards, and charts. You can use the blazer gem in Ruby on Rails to gather and display business metrics!

Building a data-driven pricing platform for speed, scale and automation with BigQuery, Looker and more.

BigQuery multi-statement transactions are now generally available and offer greater scale and additional functionality to handle the most complex of transactions.

In just a couple of weeks, I will be in Singapore for our first in-person Sales Kick Off since 2020, and I can’t wait to join colleagues as we prepare our organization for the year ahead – first in the APAC region, quickly followed by Europe and the Americas.

Data teams and their business-side colleagues now expect—and need—more from their observability solutions than ever before. Modern data stacks create new challenges for performance, reliability, data quality, and, increasingly, cost. And the challenges faced by operations engineers are going to be different from those for data analysts, which are different from those people on the business side care about. That’s where DataOps observability comes in.

Business intelligence (BI) involves converting data into valuable insights using software and services. It influences a company’s strategic and tactical business preferences. BI tools access and analyze data sets and show analytical results in the form of reports, graphs & charts, dashboards, summaries, and maps. This process provides in-depth insight into the situation of the business.