discus a series of steps need to generate value and useful insight from analytics perspective
Answers
Data Acquisition
is the process of gathering, filtering, and cleaning data before it is put in a data warehouse or any other storage solution on which data analysis can be carried out. Data acquisition is one of the major big data challenges in terms of infrastructure requirements. The infrastructure required to support the acquisition of big data must deliver low, predictable latency in both capturing data and in executing queries; be able to handle very high transaction volumes, often in a distributed environment; and support flexible and dynamic data structures. Data acquisition is further detailed in this chapter.
Data Analysis
is concerned with making the raw data acquired amenable to use in decision-making as well as domain-specific usage. Data analysis involves exploring, transforming, and modelling data with the goal of highlighting relevant data, synthesising and extracting useful hidden information with high potential from a business point of view. Related areas include data mining, business intelligence, and machine learning. Chapter 4 covers data analysis.
Answer:
The Big Data Value Chain is introduced to describe the information flow within a big data system as a series of steps needed to generate value and useful insights from data. The value chain enables the analysis of big data technologies for each step within the chain.
Explanation:
The Big Data Value Chain is introduced to describe the information flow within a big data system as a series of steps needed to generate value and useful insights from data. The value chain enables the analysis of big data technologies for each step within the chain.