Data Warehousing
A data warehouse integrates data and information collected from various sources into a comprehensive database. For example, a data warehouse might combine customer information from an organization's point-of-sale system, mailing lists, website, and comment cards. A data warehouse is a central repository of information that can be analysed to make more informed decisions. Data flows into data warehouses from transactional systems, relational databases, and other sources, often on a regular basis. SQL Data Warehouse is a cloud-based enterprise data warehouse (EDW) that leverages massively parallel processing (MPP) to quickly run complex queries across petabytes of data. Use a SQL data warehouse as a key component of a big data solution.
Related Conference of Data Warehousing
6th Annual Summit on Satellite and Space Communication Technology
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
10th World Congress on Computer Science, Machine Learning and Big Data
10th International Conference and Expo on Computer Graphics & Animation
Data Warehousing Conference Speakers
Recommended Sessions
- Big Data Algorithm
- Big Data Analytics
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Management
- Big Data Optimization
- Big Data Technologies
- Big Data Tools and Systems
- Cloud computing
- Data Mining and Machine Learning
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Forecasting from Big Data
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