Since the very beginning, Unravel Data has made it a mission to ensure customers are successful, wherever they deploy their modern data platforms. On-premises, in the cloud, and in hybrid environments, Unravel supports the full stack of data processing engines to provide data operations visibility wherever it resides.

Google Cloud’s enterprise data warehouse BigQuery offers some flexible pricing options so you can get the most out of your resources. Our recently added Flex Slots can save you money by switching your billing to flat-rate pricing for defined time windows to add maximum efficiency. Flex Slots lets you take advantage of flat-rate pricing when it’s most advantageous, rather than only using on-demand pricing.

BigQuery has several built-in features and capabilities to help you save on costs, manage spend, and get the most out of your data warehouse resources. In this blog, we’ll dive into Reservations, BigQuery’s platform for cost and workload management. In short, BigQuery Reservations enables you to: Quickly purchase and deploy BigQuery slots Assign slots to various parts of your organization

When you use data to guide your business decision-making process, you need to continually optimize your data analytics usage to get more out of that data. Here, we’ll share some ways to be more efficient with your BigQuery usage through ups and downs and changing demands.

This blog post series will put you in the mind of a defender. In cybersecurity, being a good defender means thinking like an attacker. Part 1 of this blog will focus on understanding why service accounts are excellent targets in the mind of the bad guys, and the threats and attacks a bad guy may use. In Part 2, we’ll lay out how to mitigate the threats and defend against these attacks using the tools Snowflake Cloud Data Platform gives you.

Classic data modeling and history-based actuarial models do not comprehensively work anymore. In order to get useful insights that can be implemented to support customers and the business, insurers must rapidly incorporate new data sources in their analysis. Current events that are different than anything we have seen in recent history force us to get used to a new world that cannot totally be evaluated and analyzed based on historical experience and knowledge.

Guest post by Mark Ferman, Sr. Oil & Gas Analytics Advisor Oil and Gas companies operate within one of the most demanding business environments on the planet with an array of complex challenges that regularly test their ability to innovate, plan, and execute strategic objectives.

This blog post is part of a series on Cloudera’s Operational Database (OpDB) in CDP. Each post goes into more details about new features and capabilities. Start from the beginning of the series with, Operational Database in CDP. This blog post gives you an overview of the NoSQL, component integration, and object store support capabilities of OpDB.

Editor’s note: Today we’re hearing from some of the team members involved in building BigQuery over the past decade, and even before. Our thanks go to Jeremy Condit, Dan Delorey, Sudhir Hasbe, Felipe Hoffa, Chad Jennings, Jing Jing Long, Mosha Pasumansky, Tino Tereshko, and William Vambenepe, and Alicia Williams. This month, Google’s cloud data warehouse BigQuery turns 10.

While cloud providers and data analytics firms are proliferating across markets and landscapes, what distinguishes one from another? How can you know which one holds the keys to your agency’s digital transformation? The reality is that no matter how slick the advertising, how pervasive the presence across conferences and webcasts, or how high the C-suite’s former government offices … it’s the offerings that matter most.