The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

This paper proposes a preprocessing framework for optimizing large-scale graph database ingestion through intelligent edge filtering based on value ranking. We combine adapted PageRank algorithms with ...

PARTNER CONTENT For many enterprises, the data warehouse has shifted from strategic asset to operational liability. Decades-old proprietary platforms such as Teradata, alongside cloud-only services ...

Apache Doris is an open-source, real-time analytics and search database built on MPP architecture. It provides fast SQL analytics, lakehouse query acceleration, and hybrid search across structured, ...

Apache Doris is an open-source, real-time data warehouse. It can collect data from various data sources, including relational databases (MySQL, PostgreSQL, SQL Server, Oracle, etc.), logs, and time ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Dive into data lakes—what they are, how they're used, and how data lakes are both different and complementary to data warehouses. In 2011, James Dixon, then CTO of the business intelligence company ...

Azure Synapse Analytics is a cloud-based, scale-out database that's capable of processing massive volumes of data, both relational and non-relational. Azure Synapse Analytics is built on the massively ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...