Srinivasa Sridhar Kavikondala is a seasoned technical architect specializing in data warehousing and cloud solutions, based ...

Learn how one higher education institution is modernizing and strengthening its endowment and fundraising strategy by ...

A data warehouse is defined as a central repository that allows enterprises to store and consolidate business data extracted from multiple source systems for the task of historical and trend ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Goldman Sachs is launching an open source data modeling platform based on its flagship data management and governance platform. The investment banking giant (NYSE: GS) said the open-source version of ...

Redshift is essentially a petabyte-scale data warehouse service in the cloud, letting companies increase the query-speed performance when analyzing almost any size data set.

Through the deployment of this Health Data Warehouse, Dassault Systèmes—with its OUTSCALE brand—addresses the growing needs for health data security for processing and analysis.