AdelaideX: Big Data Fundamentals
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Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.
About this course
Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions.
In this course, part of the Big Data MicroMasters program, you will learn how big data is driving organisational change and the key challenges organizations face when trying to analyse massive data sets.
You will learn fundamental techniques, such as data mining and stream processing. You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big data has improved web search and how online advertising systems work.
By the end of this course, you will have a better understanding of the various applications of big data methods in industry and research.
At a Glance:
Institution: AdelaideX
Subject: Computer Science
Level: Intermediate
Prerequisites:
Candidates interested in pursuing the MicroMasters program in Big Data are advised to completeProgramming for Data ScienceandComputational Thinking and Big Databefore undertaking this course.
Language: English
Video Transcript: English
Associated programs:
MicroMasters® Program in Big Data
Associated skills:Organizational Change, Scalability, Apache Hadoop, Online Advertising, MapReduce, PageRank, Big Data, Data Mining, Stream Processing, Algorithms
What You’ll Learn:
About this course
Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions.
In this course, part of the Big Data MicroMasters program, you will learn how big data is driving organisational change and the key challenges organizations face when trying to analyse massive data sets.
You will learn fundamental techniques, such as data mining and stream processing. You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big data has improved web search and how online advertising systems work.
By the end of this course, you will have a better understanding of the various applications of big data methods in industry and research.
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