Cloud data was supposed to enable AI at scale and democratize data. But how do we cope with the new complexities of distributed data? The emerging discipline of DataOps may help us here - along with ...
This scholarly article examines the conceptual foundations, architectural models, enabling technologies, real-time processing frameworks, application domains, performance considerations, security ...
The global COVID-19 pandemic hasn’t slowed the exponential growth of data: IDC recently calculated that 64.2 zettabytes of data was created, consumed and stored globally in 2020. And the market ...
Today, Samsung Next, the venture capital arm of Samsung Electronics, announced it is making a strategic investment in Seattle-based Expanso, a startup looking to power distributed data processing. The ...
Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless MPP engines and lakehouse convergence to AI-powered query optimization and ...
SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the next data cycle, today announced that its Global Data Platform can now be used to process, store and orchestrate data in ...
Despite the ongoing digital transformation, many organizations today still spend quite a bit of time manually processing information from countless documents. Because of the nature of digital files ...
In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...
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