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.

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.

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.

The new normal brought digital commerce to the forefront, with customers preferring remote sales, online ordering and payments, and contactless purchases. The question is, are organizations equipped to cater to these constantly evolving buyer habits? Let’s see how the right solution and strategic application development can help fuel growth in the digital economy.

Data lakes have challenges. And until you solve those problems, efficient, cost-effective data analytics will remain out of reach. That’s why ChaosSearch is rethinking the way businesses manage and analyze their data. As Mike Leone, Senior Analyst for Data Platforms, Analytics and AI at ESG Global, and Thomas Hazel, ChaosSearch’s founder and CTO, explained in a recent webinar, ChaosSearch offers a data analytics optimization solution that makes data faster and cheaper to store and analyze.

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.

Leverage accounting and finance data in your centralized warehouse to refine spend strategy.