AWS announced that Amazon Relation Database Service (Amazon RDS) is offering 4 new capabilities to help customers optimize their costs as well as improve efficiency and scalability for their Amazon ...

Trilliant Health, the healthcare industry's leading analytics firm, today announced that its comprehensive hospital price transparency dataset is now publicly available in a single DuckDB data lake, ...

AWS vice president of technology (data and analytics) Mai-Lan Tomson Bukovec spoke to the Computer Weekly Developer Network ...

In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...

Amazon just dropped a server off a crane to showcase its upgraded AWS Transform service, revealing how agentic AI could rewrite millions of legacy lines faster than developers ever imagined.

Depending on the underlying graph, you also need to handle cycles intelligently. In social networks, mutual relationships are ...

MongoDB is a document-oriented database that accelerates applications’ development timeframe. Compared with traditional SQL databases, MongoDB allows developers to store data in a more flexible format ...

To better understand which social media platforms Americans use, Pew Research Center surveyed 5,022 U.S. adults from Feb. 5 to June 18, 2025. SSRS conducted this National Public Opinion Reference ...

More college students are using AI chatbots to help them with their studies. But data recently released by an AI company shows they're aren't the only ones using the technology. College students are ...

Kara Alaimo is a professor of communication at Fairleigh Dickinson University. Her book “Over the Influence: Why Social Media Is Toxic for Women and Girls — And How We Can Take It Back” was published ...

Abstract: Business People may not be aware of the complex SQL writing skills. To convert the business requirements into SQL queries, which can be timeconsuming and error-prone. So, we decided to ...

This project focuses on analyzing global layoffs data using SQL. The workflow was divided into two main phases: Data Cleaning → Preparing and standardizing the dataset for accuracy and consistency.