Data Cloud: The Foundation for AI, Analytics and BI

Key Takeaways

[Music] Everyone is discussing at the moment is the boom of artificial intelligence. But really for us to be able to do artificial intelligence and drive value from it, we need to focus on the data foundations and that's where partnering with Google um comes into the forefront to help us support that journey. So BigQuery for us is positioned as the unified data platform. That's where all of our different data sets live. It really presents us with a platform where data scientists, data analysts, data engineers can go in um and create a seamless data journey end to end. Unite the query with Looker and Vert.ex AI to really drive insight in the hands of business stakeholders and provide them with uh real-time analytics and self-s serving analytics as well. We define an open lakehouse platform as a platform which is built using loosely coupled easy deployable components that interact through the open standards and interfaces. Google cloud offers great flexibility and scalability. We can seamlessly run any kind of open source solutions and it works just well without needing things underneath. We can connect different components, different processing engines depending on the workload type. If we need to have large data processing or run machine learning task, then we can run spark on data proc. Pretty amazing. Nowadays, there is no need to do the the heavy maintenance work of the hardware and infrastructure. We decided to work with Google because of their ability to see the future and their forwardthinking technology. It's been key for us to be able to understand that we could get our real-time analytics. If you think about 6,400 restaurants, real time sales analytics, that's a lot of data passing through there. And we have no problem doing that with Big Query. We're doing all of our data and analytics through Looker. All of our visualization of our data. So, dashboarding as well as self-services is being done through Looker today. Previously, it was 3 days before we would see our sales data. Now we can understand what's happening with the customer in real time. [Music]