Open source in-process OLAP system launches rival to Iceberg and Delta Lake table format, and more With a combined market ...

can get the data they need to make smarter decisions faster and run relevant, efficient campaigns," said Rick Schultz, CMO at Databricks. "By unifying customer and campaign data and using AI to ...

While data mesh is tied to certain underlying technologies, it’s really a shift in thinking more than anything else. In an organization that has embraced data mesh architecture, domain-specific ...

“There’s only a small portion [of our data architecture] that’s not [Databricks], and we’re doing everything that we can to move it into [Databricks],” he said. The gradual replacement ...

The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

The headless data architecture is the formalization of a ... tend to own the different stages of the workflow, the source database, and the final use cases. Very strong coordination is necessary ...

the concept of Data Mesh has emerged as a novel approach to distributed data architecture. This shift aims to democratize access to data and empower data science teams, but its feasibility and ...

Learn More In another move to strengthen its customer base, Databricks ... Data Intelligence Platform for Communications, the offering combines the power of the company’s data lakehouse ...

That said, NoSQL databases are more flexible when it comes to data organization and are easier to use when dealing with unstructured data. Therefore, choosing between relational and NoSQL cloud ...

Databricks Lakehouse architecture combines elements of data lakes and data warehouses to help customers reduce costs and deliver on data and AI initiatives faster. Built on open source and open ...