I used to work with organizations to support their software evaluations, selections, and implementations. What regularly started as a desire for greater visibility into data, generally turned into a need for better management of data across their ecosystems. Basically, organizations cannot look at individual data and analytics projects without evaluating their needs in a cohesive manner. The reality is that selecting a new set of tools for data optimization requires a lot of effort.

Cross-cloud analytics are critical to breaking down data silos. Moving data with usability, security, low-latency, and audibility makes it a reality.

When you’re racing around a circuit at over 200mph, there isn’t much room for error. There's a team of thousands backing you, millions of dollars on the line and a grid of other teams vying for the podium. In motorsport, every millisecond counts – and that’s where data can make the difference. This is what I spoke to Joe DosSantos about in the latest episode of Data Brilliant.

When doing long-term planning for an organization, it is really helpful to start with a statement of what the architecture is and what that architecture will encompass. The architectural definition of the technology that will be used will serve as a long-term guide for making technical decisions. In addition, a properly built architecture serves as an instrument of focus, direction, and prioritization for the organization.

Zeotap is a next-generation Customer Data Platform hosted in Google Cloud aimed at building customized Audience segments and activating at scale.

Use new BigQuery geospatial functions ST_IsClosed and ST_IsRing

Learn how Fivetran solution architects are supporting customers with implementing robust and scalable data platforms.