Query processing and user interaction form the cornerstone of modern database systems, providing the framework for translating high‐level user queries into efficient, actionable operations. As data ...

The expanding volume and complexity of modern datasets have necessitated innovative approaches to data query processing and visualisation. Contemporary methods must efficiently extract actionable ...

The three features of adaptive query processing can make SQL Server 2017 significantly faster at processing your workload. Not only that, but they also provide significant improvements without needing ...

Dynamic filtering is a technique that filters out unnecessary data in advance during the database query process. The core ...

Kinetica, a relational database provider for online analytical processing (OLAP) and real-time analytics, is harnessing the power of OpenAI’s ChatGPT to let developers use natural language processing ...

The need for timely information in the e-business world provides the impetus to develop a flexible database system with the capability to adapt and maintain performance levels under changing queries ...

With its ability to convert natural language questions into SQL queries, the addition of ChatGPT to the high-performance, real-time Kinetica database makes it possible for business users to obtain ...

Lantu Automotive initially built its data platform architecture around Hive and Clickhouse, where vehicle data and embedded data from the vehicle were transmitted to the Lantu cloud gateway. The ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...