Srinivasa Sridhar Kavikondala is a seasoned technical architect specializing in data warehousing and cloud solutions, based ...

Be aware of these emerging multicloud architecture patterns that eliminate data, service, and process silos ...

Advancing data architecture for generative AI - SiliconANGLEGenerative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in ...

With growing competition to get data that power experiences to end-user closer and closer and the advent of local data privacy laws, let's look at different enterprise data patterns.

The course is intended for individuals looking to understand the architecture patterns necessary to take large software systems that leverage big data to production.

While the emerging constellation of next-generation data architectures-fabric, mesh, and cloud-is extremely appealing, it's still full of unknowns. ­These approaches present opportunities for greater ...

As data is the new oil, we need a new storage architecture to leverage disparate data lakes. Pure Storage introduced the concept of the "data hub" and analyst Patrick Moorhead dissects this.

Taking a minimalist or serverless approach to architecture can keep scalability while trimming unnecessary expenses.

In today's business world, while data professionals have access to advanced AI tools, they still remain heavily dependent on manual data analysis. Ada, the world's first AI data analyst, launches ...

Predictive analytics is the process of using data to find patterns, trends and relationships. The purpose of predictive analytics is to solve a problem by using data to deepen our understanding and ...