August has been a busy month for us right here at Looker. We began off Knowledge Analytics week at Google Cloud Subsequent ’20: OnAir with a major release of top-requested enhancements—constructing on our imaginative and prescient of empowering corporations to construct highly effective knowledge experiences and drive constructive, data-driven enterprise outcomes. Then, all through this week, we’ve offered our vision for data leaders, shared a few of our latest capabilities, led digital hands-on-labs, and highlighted inspiring buyer tales and demos throughout your complete Subsequent OnAir expertise.
Within the smart analytics keynote, we present you the way Looker is a vital part for delivering Google Cloud’s imaginative and prescient of an open, clever, and versatile platform. See how Sunrun leveraged Looker and BigQuery to speed up their digital transformation initiatives, or how Looker suits into Verizon Media’s 100+ PB analytics platform. Hear how the Looker crew supported data-driven responses to COVID-19, take a technical deep dive, see a demo of Looker with BigQuery BI Engine, or study Looker’s (not so) secret sauce: Intro to LookML. Lastly, in our Looker Roadmap session, hear about lots of the latest developments and get a peek at what’s subsequent.
We’re significantly pleased with the progress we’ve made on the info experiences roadmap we first introduced final December. For the final 12 months, we’ve centered on options that assist our broad neighborhood of system directors, utility builders, mannequin builders, knowledge analysts, and enterprise choice makers by offering the dimensions and efficiency, value optimization, simplified administration, and ease of growth of information experiences they require. Corporations, departments, and people all have distinctive, other ways they use knowledge to information their work. This understanding guides Looker’s method to analytics and the brand new enhancements we introduced this week. Let’s take an additional take a look at a couple of key features of the bulletins.
Elevated efficiency and effectivity with mixture consciousness
To drive better efficiency and effectivity at scale, Looker now consists of aggregate awareness. With mixture consciousness, Looker can materialize question outcomes and dynamically route consumer queries to totally different tables primarily based on stage of granularity. This helps reduce the entire variety of queried information, decreasing question value and bettering response time. Combination consciousness is absolutely managed in LookML, Looker’s semantic layer, decreasing implementation time and value whereas sustaining simplicity for customers. Not like different options, mixture consciousness doesn’t restrict a question to a selected desk. As an alternative, it might routinely UNION-in associated knowledge when question scope exceeds that of a given mixture desk.