Building an analytics architecture for unstructured data and multimodal AI brandpost By Ganesh Kumar Gella, Sr. Director, Engineering, Google BigQuery Generative AI Initiatives Jun 11, 2025 5 mins ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

A technical paper titled “Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics” was published by researchers at Korea Advanced Institute of Science & Technology (KAIST ...

Data Stream Processing and Streaming Analytics - In contrast to the traditional database model where data is stored, indexed and subsequently queried, stream processing takes the inbound data while it ...

In real estate, the mantra is "location, location, location." The same could be said for the juxtaposition of applications logic and data. With enterprise data growing at an explosive rate, having ...

That's because advances in big data analytics and complex events processing (CEP) can come together to provide deep and real-time, pattern-based insights into large-scale IT operations.

NEW YORK, Nov. 18, 2021 (GLOBE NEWSWIRE) -- Lucata Corporation, provider of a next generation computing architecture based on Intel technology for high performance, massively scalable processing ...

The new DeltaStream Fusion Unified Analytics Platform empowers organizations to process both real-time and historical data in one place seamlessly.

Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a $44 million Series B funding round ...