This course is devoted to beginners and practitioners of Big Data and AI fields. It will be a quick overview of some basic concepts that could be further elaborated by professionals. Ranging from CAP theorem to Turing assumption, we will provide a starting guide for diving in these fascinating topics.
Getting familiar with the following key concepts by attending the lessons and answering basic queries
涵盖的内容
4个视频16篇阅读材料1个作业
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4个视频•总计15分钟
Welcome!•4分钟
Big Data: an introduction•4分钟
The Five 'V' of Big Data•4分钟
Distributed architecture •3分钟
16篇阅读材料•总计88分钟
Why is Big Data so popular?•10分钟
How banks and social media use big data•10分钟
How science use big data•10分钟
Conclusions•3分钟
Big Data Key Features•5分钟
A closer look at Variability•5分钟
A case of study•6分钟
A closer look to the long tail effect•5分钟
Some Big Data side effects•3分钟
Conclusions•1分钟
Dealing with parallelism to Tame Big Data •6分钟
Centralized System vs. Distributed System•3分钟
Client Server's models•7分钟
Broker architectural style•6分钟
Service-Oriented Architecture (SOA)•7分钟
Conclusions•1分钟
1个作业•总计30分钟
Big Data Checkpoint•30分钟
Hadoop
第 2 单元•小时 后完成
单元详情
Getting familiar with the following paradigms by attending the lessons and writing small pieces of programs
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3个视频6篇阅读材料1个作业
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3个视频•总计10分钟
Hadoop Ecosystem•3分钟
Hadoop and HDFS•4分钟
Hadoop and Map-Reduce•3分钟
6篇阅读材料•总计64分钟
How to deal with Big Data? Hadoop a good starting point•15分钟
Hadoop: related projects•7分钟
Other related projects•7分钟
Conclusions•15分钟
Managing HDFS effectively by Hadoop•10分钟
Using Map-Reduce on Top of Hadoop•10分钟
1个作业•总计30分钟
Testing Hadoop understanding•30分钟
Hadoop Tools
第 3 单元•小时 后完成
单元详情
Getting familiar with the following tools by attending the lessons and solving small case studies
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3个视频9篇阅读材料1个作业
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3个视频•总计11分钟
Pig Latin •3分钟
Apache Hive•4分钟
Beyond Map Reduce•4分钟
9篇阅读材料•总计52分钟
How to improve data manipulation with Pig Latin •8分钟
How to improve data manipulation with Pig Latin (part 2)•8分钟
Conclusions•1分钟
How to improve data manipulation with Apache Hive•8分钟
Hive•9分钟
Conclusions•1分钟
What’s next Map Reduce?•8分钟
Spark•8分钟
Conclusions•1分钟
1个作业•总计30分钟
Checking Data Manipulation Skills•30分钟
NoSQL Systems and AI
第 4 单元•小时 后完成
单元详情
Getting familiar with the No SQL paradigm and AI building blocks by attending the lessons and designing basic solutions
涵盖的内容
3个视频12篇阅读材料1个作业
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3个视频•总计11分钟
NO SQL•4分钟
CAP Theorem•4分钟
Artificial Intelligence•4分钟
12篇阅读材料•总计65分钟
How to deal with Big Data Efficiently? The NoSQL approach•7分钟
Cassandra•7分钟
Graph vs.RDBMS•7分钟
Data access in key-values store•4分钟
Conclusions•1分钟
Some Theory on Big Data Management•10分钟
The Cap Theorem with Apache Cassandra® and MongoDB•8分钟
Founded in 1224, Federico II is the oldest lay University in Europe. With its "Federica Web Learning" Center, it is the leader in Europe for open access multimedia education, and in the world's top ten for the production of MOOCs for providing new links between higher education and lifelong learning. Find out more on www.federica.eu.
A little more video learning could've made such a topic more interesting but honestly the course is designed very very very well, thank you for the opportunity :)
J
JE
5·
已于 Feb 4, 2024审阅
I am glad to learn this... it might be improved by adding some reviewed tasks, but it has been nice like it is now. God bless you all.
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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.