Big Data Fundamentals
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.
What you'll learn
- Knowledge and application of MapReduce
- Understanding the rate of occurrences of events in big data
- How to design algorithms for stream processing and counting of frequent elements in Big Data
- Understand and design PageRank algorithms
- Understand underlying random walk algorithms
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| Rating | Not enough ratings |
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| Length | 10 weeks |
| Effort | 10 weeks, 8–10 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $199 |
| From | University of Adelaide, AdelaideX via edX |
| Instructors | Dr. Frank Neumann, Frank Neumann, Wanru (Kelly) Gao, Aneta Neumann, Vahid Roostapour |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics |
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Big Data Developer (Streaming Data) $77k
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Research Scientist Big Data $94k
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Big Data Engineer 6 $107k
Big data and ETL specialist $121k
Big Data Specialist $149k
Principal Big Data Architect $180k
Senior Big Data Sales $181k
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| Rating | Not enough ratings |
|---|---|
| Length | 10 weeks |
| Effort | 10 weeks, 8–10 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $199 |
| From | University of Adelaide, AdelaideX via edX |
| Instructors | Dr. Frank Neumann, Frank Neumann, Wanru (Kelly) Gao, Aneta Neumann, Vahid Roostapour |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics |
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