Data Warehousing and Data Management
The idea of data warehousing was presented in 1988 by Barry Devlin and Paul Murphy. Data warehousing is utilized to give more prominent knowledge into the presentation of an organization by contrasting information united from numerous heterogeneous source.
The work of data management has a wide degree, covering variables, for example, how to
- Create, access, and update data over a differing information level
- Store information over different mists and on premises
- Give high accessibility and disaster recovery
- Use data in a developing assortment of applications, investigation, and calculations
- Guarantee data protection and security
- Archive and destroy data as per maintenance timetables and consistence necessities
- BI software
- Compliance reporting software
- Data Integration and Inter-operability
- Database & Storage Management
Related Conference of Data Warehousing and Data Management
March 09-10, 2026
14th Global Summit on Artificial Intelligence and Neural Networks
Singapore City, Singapore
December 07-08, 2026
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
Data Warehousing and Data Management Conference Speakers
Recommended Sessions
- Artificial Intelligence and Machine Learning
- Big Data Analytics and Data Science
- Big Data Architecture, Technologies and Applications
- Big Data Models and Algorithms
- Bioengineering and Bio-Mechanics
- Computer Graphics and Multimedia
- Computer Science and Information Technology
- Cyber Security, Ethics, Privacy and Trust
- Data Mining and Cloud Computing
- Data Warehousing and Data Management
- Homeland Security and Data Analysis
- Humanoid Robotics, Planning and Control
- Integrated and Distributed Systems
- IoT, Autonomous Systems and Agents
- Neural Networks and Cognitive Computing
- Robotics, Automation and Mechatronics
- Semantic, Scalable Computing and Mobile Computing
- Sensors, Networks, Devices
- Software Engineering and Programming
- Virtual Reality (VR) and Gaming
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