Concept explainers
a. Definition of data mining.
Explanation of Solution
Data mining is the process of gaining insights (knowledge discovery) from huge data sources using sophisticated mixture of techniques from the field of
b. Definition of online analytical processing.
Explanation of Solution
Online analytical processingor OLAP refersto providing users with multidimensional views of data accessed by themwith the help ofvarious graphical tools.Using OLAPuserscananalyse the data with the help of simple windowing techniques.
c. Definition of business intelligence.
Explanation of Solution
Business intelligence is the set of methodologies, architectures, processed and technologies that generate meaning insights from raw data.
d. Definition of predictive analytics.
Explanation of Solution
Predictive analytics is method of making predictions about what might occur in future by means of using computational and statistical methods on data related to current and past events.
e. Definition of Apache spark.
Explanation of Solution
Apache Spark is an open source infrastructural tool for analytics. It is an open source analytics environment useful for big and highly heterogenous data sets to provide capabilities from analytics to the maintenance of widley distributed storage system.
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Chapter 11 Solutions
Modern Database Management
- Describe the principles of data warehousing and the use of data warehouses in business intelligence and analytics.arrow_forwardDescribe the common data processing frameworks used in big data analytics.arrow_forwardDefine big data analytics and outline the key characteristics that distinguish it from traditional data analytics.arrow_forward
- Dive deep into the architecture and capabilities of Apache Spark. How does it enable efficient data processing and analytics at scale?arrow_forwardDefine a data warehouse and its role in business intelligence and analytics.arrow_forwardWhat are the key components of the Hadoop ecosystem, and how do they contribute to big data analytics?arrow_forward
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