For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...

Handling sensitive patient data is a critical responsibility for organizations involved in clinical trials. To meet regulatory requirements, many rely on SDTM mapping—a process that converts raw ...

Data platform vendor Informatica is expanding its AI capabilities as the needs of gen AI continue to increase enterprise requirements. Informatica is no stranger to the world of AI; in fact, the ...

Data are a crucial asset for organizations, making it essential for database designers to effectively organize and manage data using DataBase Management Systems (DBMS). DataBase design Concepts (DBCs) ...

Abstract: In order to maintain the integrity of data information in heterogeneous data interaction more effectively, this paper firstly analyzed the advantages of XML Schema in the field of data ...

Other database updates include the general availability of MemoryDB Multi-Region and new observability features for Amazon Aurora MySQL and PostgreSQL. Amazon Web Services (AWS) has updated its ...

Google wants to unify schema.org markup and merchant feed data for consistent product listings. A unified product data model will streamline merchant workflows. Reliable product data can lead to a ...

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

When using an XSD schema to provide an XML view of the relational database , the elements and attributes of the schema must be mapped to tables and columns of the database. The rows in the database ...

Abstract: Mapping relational database schema to ontology is a critical task for ontology-based heterogeneous database integration. This paper proposes a hybrid approach combining element-level and ...