Systems | Development | Analytics | API | Testing

Keboola and Snowflake Inspire Companies To Simplify Their Data Architecture

In this episode of “Data Cloud Now,” host Ryan Green chats with Pavel Dolezal and Petr Hunka of Keboola about a new wave of interest among businesses to take advantage of the latest developments in Snowflake and Keboola technologies to simplify their data architectures. “People are now more interested in changing the whole company to be data driven, changing business processes with AI, instead of changing just one part,” says Dolezal, “And Snowflake has definitely changed how the game is played.”

Defining a Technical Architecture

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.

Hunting Marginal Gains - Why Data Makes the Difference

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.

You Can't Hit What You Can't See

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. For analytic applications to properly leverage a hybrid, multi-cloud ecosystem to support modern data architectures, data observability has become even more important. I spoke to Mark Ramsey of Ramsey International (RI) to dive deeper into that last subject.