The MP Board Class 12 English Syllabus for 2025-26 is designed to refine advanced communication skills and literary appreciation, strictly adhering to the NCERT curriculum. The syllabus is centered ...

Document databases are an increasingly important type of technology in the gen AI era. A document database is a type of NoSQL database that doesn't rely on rows and columns like a traditional ...

Naresh Miryala is an accomplished engineering leader at Meta with nearly two decades of experience in cloud and data platform engineering. As someone deeply involved in the database space, the rapid ...

Disclaimer: LibGen contains errors. You may, for example, find books that list incorrect authors. This search tool is meant to reflect material that could be used to train AI programs, and that ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...

Transaction processing against relational databases may not be the focus of the datacenter, as it was when IBM created the first relational database and Oracle was founded to compete against it in the ...

Meta just lost a major fight in its ongoing legal battle with a group of authors suing the company for copyright infringement over how it trained its artificial intelligence models. Against the ...

Abstract: Object-relational conceptual modeling tools do not support all new concepts available in SQL4. This study presents an enhanced empirical research framework for object-relational database ...

LAS VEGAS--(BUSINESS WIRE)--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced new capabilities for Amazon Aurora and Amazon DynamoDB to ...

The increasing adoption of AI technologies is presenting new challenges for our customers’ data estate and applications. Most organizations expect to deploy AI workloads across a hybrid mix of cloud, ...

Data Access Migration Toolkit (DAMT) is a VS Code extension that help users identify SQL code in application source code when migrating from one DB to another and identify SQL compatibility issues.