About this class
Data mining refers to extracting knowledge from large amounts of data. The data sources can include databases, data warehouse, web etc.
Data warehousing is a collection of tools and techniques using which more knowledge can be driven out from a large amount of data. This helps with the decision-making process and improving information resources.
Data warehouse is basically a database of unique data structures that allows relatively quick and easy performance of complex queries over a large amount of data. It is created from multiple heterogeneous sources.
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Learning Material
Title
Volume
Advanced Data Integration Techniques
5.89 MB
<p>Advanced Data Integration Techniques</p>
Real-Time Data Warehousing
5.89 MB
<p>Real-Time Data Warehousing</p>
Scalability and Performance Tuning in Data Warehousing
5.89 MB
<p>Scalability and Performance Tuning in Data Warehousing</p>
Big Data Integration and Analytics
5.89 MB
<p>Big Data Integration and Analytics</p>
Advanced Data Mining Algorithms
5.89 MB
<p>Advanced Data Mining Algorithms</p>
Text and Social Media Data Mining
5.89 MB
<p>Text and Social Media Data Mining</p>
Privacy and Security in Data Warehousing and Mining
5.89 MB
<p>Privacy and Security in Data Warehousing and Mining</p>
Data Warehousing and Mining in the Cloud Environment
5.89 MB
<p>Data Warehousing and Mining in the Cloud Environment</p>
Exams
Title
Min
Grade
Attempts
Status
Data Mining and Warehousing
50
Questions, 90
Min
50/100
0/1
-
Certificates
Title
Min
Grade
Data Mining and Warehousing
50/100
0
0 Reviews
