Open Source and the Data Lakehouse: Apache Iceberg and Project Nessie
The data lakehouse concept presents a harmonious fusion of the strengths of both data lakes and data warehouses.
The data lakehouse concept presents a harmonious fusion of the strengths of both data lakes and data warehouses.
Partnering ChatGPT with EDA could bring a range of business benefits from improved response time and reduced outages to lowering energy consumption. The …
The Data-in-Motion Ecosystem Map shows the various moving parts of your data architecture and how they are all connected with each
One of the most intriguing and unexpected findings in a new developer survey is the popularity and positive ratings of newer, lesser-known databases. With such …
Retailers must move away from outdated tools like data management platforms that rely on third-party data and adopt forward-thinking
Data-driven organizations rely on three strategies to be successful: an enterprise data platform, the right operating model, and a company-wide data
Making the most of streaming edge data requires a special infrastructure architecture that accommodates the data throughout its lifecycle.
By applying edge-specific capabilities and AI integration at the data source, businesses can eliminate inefficiencies, gain greater operational awareness, and …
In data-informed organizations, AI/ML and workflow orchestration function as a kind of intelligent research assistant, operating at scale without interruption.
A data mesh architecture treats data-as-a-product as the new way to empower each stakeholder or domain to unravel insights from data.