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 ...

Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...

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 ...

Azure Synapse uses a massively parallel processing architecture ideal for enterprise data warehousing, while Databricks leverages Spark’s in-memory processing for real-time analytics and AI ...

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.

At the recent Supercomputing 2010 conference, IBM unveiled details of a new storage architecture design created by IBM scientists that will convert terabytes of pure information into actionable ...

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

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 ...

To tackle the problem Goyal launched DataPelago in 2021 and assembled a “multi-disciplinary team” of people with expertise in system architecture, data analytics, cloud SaaS, open-source ...