The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

The storage in big data market is expanding rapidly due to increasing volumes of enterprise and IoT data, growing adoption of cloud and software-defined storage solutions, and rising demand for ...

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...

Databricks is testing a beta SharePoint connector for AWS that can ingest structured, semi-structured, and unstructured files into Delta tables with Unity Catalog governance. The feature supports both ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

AI-powered data pipelines are transforming how businesses collect, process, and use data, making insights faster and more reliable. From batch ETL to real-time streaming, modern architectures ...