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A data lakehouse combines the horizontal scalability of data lakes with the transactional management of a data warehouse.
The real differentiator is the ability to deploy a dynamic, enterprise-wide system of context that fuels AI with real-time, trusted information.
Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...
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Tech Xplore on MSNData visualization emerges a key driver of decision-making at organizational and community ...
Data visualization has emerged as a powerful tool for enabling data-driven decision-making across diverse domains, including business, medicine, and scientific research. However, no comprehensive ...
Overview: Not all databases are the same. Consider scalability, speed, and data type support before deciding.High-end ...
MongoDB, Inc. ( NASDAQ: MDB) Citi’s 2025 Global Technology, Media and Telecommunications Conference September 3, 2025 3:30 PM EDT ...
Data visualization is a powerful tool for supporting decision-making. Researchers at the University of Tsukuba systematically reviewed major data visualization research papers from the past 16 years, ...
To address these issues, two technological routes based on large language models (LLM) have emerged: Text2SQL and DataAgent. They represent two different approaches to data democratization. Text2SQL: ...
Ramprakash Ramamoorthy, Director of AI Research at Zoho, explains why real-world AI adoption demands more than APIs and ...
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