WHAT IS SESSION INITIATION PROTOCOL? The Session Initiation Protocol (SIP) is one of the most widely used protocols in VoIP. It is an application layer protocol that controls multimedia communication sessions over the Internet...
Data lake and data warehouses are both widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a...
Description of Data warehousing The process of creating and using a data storehouse is known as data warehousing. A data storehouse is created by combining data from a variety of distant sources to give logical...
Online Analytical Processing (OLAP) performs multidimensional analysis of business data and provides the capability for complex calculations, trend analysis, and sophisticated data modeling. OLAP Analytical...
Knowledge Discovery in Databases (KDD) KDD is an iterative process where evaluation measures can be enhanced, mining can be refined, new data can be integrated and transformed in order to get different and more...
Clustering in data analysis is a type of unsupervised learning method which identifies similarity between objects. And groups them into clusters. Moreover, classification is a type of supervised learning method which uses...
Business Intelligence is a technique that uses technologies to create, manage and analyze all data to gain business insights. Moreover, it uses set of processes that convert data into meaningful information to drive profitable...
Data Warehousing is a process of constructing a warehouse for reporting, data analysis, decision making and ad hoc queries. Moreover, it collects and manages data from different sources to provide insights in business. In...
Sentiment Analysis refers to the process of determining sentiments of users which can be positive, negative or neutral. Moreover, in this article, we will focus on using Twitter for sentiment analysis and extracting opinions...
Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. As we know, companies use this process to turn raw data into useful information. Firstly, it depends on...