Data Warehousing
In computing, a #DataWarehouse (DW or DWH), also known as an #EnterpriseDataWarehouse (EDW), is a system used for reporting and data analysis and is considered a central component of business #intelligence. Data Warehouse or Enterprise Data Warehouse is central repositories of integrated data from one or more disparate sources.
- Data Warehouse Architectures
- Case studies: Data Warehousing Systems
- Data warehousing in Business Intelligence
- Role of Hadoop in Business Intelligence and Data Warehousing
- Role of Hadoop in Business Intelligence and Data Warehousing
- Computational EDA (Exploratory Data Analysis) Techniques
Related Conference of Data Warehousing
October 16-17, 2023
17th International Conference & Exhibition on Biosensors & Bioelectronics
Toronto, Canada
November 08-09, 2023
3rd International conference on Information Technology, Data Science and Digital Health
Paris, France
November 13-14, 2023
5th International Conference on Aerospace, Defense and Mechanical Engineering
Amsterdam, Netherlands
November 15-16, 2023
10th World congress on Big Data, Computer science, Analytics and Data Mining
Paris, France
December 01-02, 2023
10th International Conference and Exhibition on Mechanical & Aerospace Engineering
Vancouver, Canada
April 24-25, 2024
6th Annual Summit on Satellite and Space Communication Technology
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Data Warehousing Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Big Data Analytics
- Big Data Technologies
- Business Analytics
- Cloud Computing
- Clustering
- Data Mining Methods and Algorithms
- Forecasting from Big Data
- Internet of Things (IOT)
- Nanoinformatics
- New Visualization Techniques
- Renewable Energy Forecasting with Big Data
- Social Network Analysis
- Big Data Algorithm
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Optimization
- Complexity and Algorithms
- Data Mining and Machine Learning
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Frequent Pattern Mining
- Open Data
- Search and Data Mining
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