In a data-driven world, our ability to analyse and capitalise on information is key to organisational success. Our Postgraduate Diploma in Business Intelligence and Big Data provides a solid foundation for addressing this need. It focuses on sets of key skills, which begin with an understanding of the fundamentals of the Big Data, exploring various data sources and their use across different platforms, including Open Data. This programme provides a framework for understanding the different phases of Big Data projects, with an introduction to the Hadoop environment, which is vital to the large-scale data processing ecosystem. It also guides participants in the practice of Data Mining through tools such as WEKA, enhancing their ability to extract valuable insights from data. Aligned with current market demands and tailored to the development of emerging talent, this programme is a smart choice for those seeking to expand their analytical skills and contribute strategically data-driven growth within their organisations. Transform your perspective with skills that unlock the hidden potential in data, and start building a competitive advantage for the digital future.
Business Intelligence and Big Data
Introduction
Objectives
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Master the key aspects of the Big Data.
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Explore a variety of data sources.
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Learn on Open Data.
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Understanding the stages Big Data projects.
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Understanding the Hadoop ecosystem.
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Start at Weka and Data Mining.
Table of Contents
TEACHING UNIT 1. INTRODUCTION TO BIG DATA
What is Big Data?
The age of vast amounts of information. A history of big data
The importance of storing and retrieving information
Business-focused Big Data
Open Data
Public information
IoT (Internet of Things)
TEACHING UNIT 2. DATA SOURCES
Definition and significance of the selection of data sources
The nature of Big Data sources
TEACHING UNIT 3. OPEN DATA
Definition, Benefits and Features
Example of the use of Open Data
TEACHING UNIT 4. STAGES OF A BIG DATA PROJECT
Initial diagnosis
Project design
Implementation process
Project monitoring and control
Person in charge and available resources
Timetable
Scope and economic valuation of the project
TEACHING UNIT 5. THE HADOOP ECOSYSTEM
What is Hadoop? Its relationship with Big Data
Installation and configuration of the Hadoop infrastructure and ecosystem
HDFS file system
MapReduce with Hadoop
Apache Hive
Apache Hue
Apache Spark
TEACHING UNIT 6. WEKA AND DATA MINING
What is Weka?
Data Mining Techniques in Weka
Weka interfaces
Selection of attributes
Your questions answered
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