When looking at data, business decision makers are often blocked by an intermediate question of "What should I take away from this data?" Beyond putting together the numbers and building the results, data analysts and data scientists play a critical role in helping answer this question. Organizations big and small depend on data analysts and data scientists to help “translate from words to numbers, and then back to words” as sports analytics pioneer Dean Oliver once said.

Spring is here. Clocks move forward. The Sakura (cherry blossom) festival in Japan marks the celebration of the new season. In India, the holi festival of colors ushers in the new harvest season. It’s a time for renewal and new ways of doing things. This month, we are pleased to debut our newest set of SQL features in BigQuery to help our analysts and data engineers spring forward.

How much do you know about Domain-Driven Design (DDD)? It's a design approach to software development where the language and structure of software code match the business domain. The concept comes from a 2003 book by Eric Evans. And it influences software architects, information architects, data engineers, and computer science professionals who organize code and solve some seriously stressful software problems. Domain-Driven Design is a super-successful concept with brilliant business logic benefits.

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure. With the addition of Google Cloud, we deliver on our vision of providing a hybrid and multi-cloud architecture to support our customer’s analytics needs regardless of deployment platform.

Since Snowflake’s inception we’ve had the needs of our customers as our North Star, with a clear focus on security and governance of data, continuous advances on performance and reduction of latencies, and relentless capabilities innovation. As part of our product development, we constantly evaluate where open standards, open formats, and open source can help or hinder our progress towards those goals. In short, it is a matter of degree.

When you’re one of many developers commanding streaming applications running in Apache Kafka, you want enough data observability to fly your own data product to the moon. But you also want to boldly go where no developer has gone before to discover new applications. At the same time, you don’t want to be exposed to sensitive data that summons you to your compliance team, crashing you back down to earth.

When COVID hit, multinationals went into a tailspin, scrambling for solutions to pandemic-related problems like suspended flights, social distancing, and stay-at-home orders. How could global brands function when operations are so interconnected? One global sales and marketing brand stayed calm in the crisis, innovating localized strategies that strengthened remote regional teams.

With the steep rise of data, smart businesses have started capitalizing on this new oil to build a new type of products and services: data applications. Admittedly, the engineering and business development of data apps overlaps with their cousins - the trusty desktop app and the well-known web app, … But there is a core difference that sets data applications apart: they are first and foremost about the data they use to deliver value.