OLAP Technologies
Online Analytical Processing (OLAP) is an innovation that is utilized to make choice bolster programming. OLAP empowers application clients to rapidly dissect data that has been outlined into multidimensional perspectives and chains of importance. By abridging anticipated inquiries into multidimensional perspectives preceding run time, OLAP apparatuses give the advantage of expanded execution over conventional database access devices. The vast majority of the asset serious count that is required to compress the information is done before an inquiry is submitted.
- Data Storage and Access
- OLAP Operations
- OLAP Architechture
- OLAP tools and internet
- Functional requirements of OLAP systems
- Limitation of spread sheets and SQL
Related Conference of OLAP Technologies
October 28-29, 2025
8th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
November 27-28, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Dubai, UAE
November 27-28, 2025
11th World congress on Big Data, Computer science, Analytics and Data Mining
Paris, France
December 01-02, 2025
11th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
December 11-12, 2025
24th International Conference on Big Data & Data Analytics
Amsterdam, Netherlands
December 15-16, 2025
6th International Conference on Aerospace, Defense and Mechanical Engineering
Amsterdam, Netherlands
December 17-18, 2025
7th Annual Summit on Satellite and Space Communication Technology
Amsterdam, Netherlands
March 09-10, 2026
14th Global Summit on Artificial Intelligence and Neural Networks
Singapore City, Singapore
OLAP Technologies Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Big Data Algorithm
- Big Data Applications
- Big Data Technologies
- Business Analytics
- Cloud computing
- Clustering
- Complexity and Algorithms
- Data Mining Analysis
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Methods and Algorithms
- Data Mining Tasks and Processes
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- ETL (Extract, Transform and Load)
- Forecasting from Big Data
- Frequent Pattern Mining
- Kernel Methods
- New visualization techniques
- OLAP Technologies
- Open Data
- Optimization and Big Data
- Search and data mining
- Social network analysis
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