- Level Foundation
- Duration 7 hours
- Course by Università di Napoli Federico II
-
Offered by
About
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.Modules
Introduction
1
Videos
- Welcome!
Big Data: an introduction
1
Videos
- Big Data: an introduction
4
Readings
- Why is Big Data so popular?
- How banks and social media use big data
- How science use big data
- Conclusions
The five 'V' of Big Data
1
Videos
- The Five 'V' of Big Data
6
Readings
- Big Data Key Features
- A closer look at Variability
- A case of study
- A closer look to the long tail effect
- Some Big Data side effects
- Conclusions
Distributed architecture
1
Assignment
- Big Data Checkpoint
1
Videos
- Distributed architecture
6
Readings
- Dealing with parallelism to Tame Big Data
- Centralized System vs. Distributed System
- Client Server's models
- Broker architectural style
- Service-Oriented Architecture (SOA)
- Conclusions
Hadoop Ecosystem
1
Videos
- Hadoop Ecosystem
4
Readings
- How to deal with Big Data? Hadoop a good starting point
- Hadoop: related projects
- Other related projects
- Conclusions
Hadoop and HDFS
1
Videos
- Hadoop and HDFS
1
Readings
- Managing HDFS effectively by Hadoop
Hadoop and Map-Reduce
1
Assignment
- Testing Hadoop understanding
1
Videos
- Hadoop and Map-Reduce
1
Readings
- Using Map-Reduce on Top of Hadoop
Pig Latin
1
Videos
- Pig Latin
3
Readings
- How to improve data manipulation with Pig Latin
- How to improve data manipulation with Pig Latin (part 2)
- Conclusions
Apache Hive
1
Videos
- Apache Hive
3
Readings
- How to improve data manipulation with Apache Hive
- Hive
- Conclusions
Beyond Map Reduce
1
Assignment
- Checking Data Manipulation Skills
1
Videos
- Beyond Map Reduce
3
Readings
- What’s next Map Reduce?
- Spark
- Conclusions
NO SQL
1
Videos
- NO SQL
5
Readings
- How to deal with Big Data Efficiently? The NoSQL approach
- Cassandra
- Graph vs.RDBMS
- Data access in key-values store
- Conclusions
CAP Theorem
1
Videos
- CAP Theorem
3
Readings
- Some Theory on Big Data Management
- The Cap Theorem with Apache Cassandra® and MongoDB
- Conclusions
Artificial Intelligence
1
Assignment
- Wrap-up
1
Videos
- Artificial Intelligence
4
Readings
- How can we extract Value? AI at first glance
- Transation vs. BI Systems and BI Data
- Artificial Intelligence
- Conclusions
Auto Summary
Discover the essentials of Big Data and Business Intelligence with this foundational course designed for beginners and practitioners in the fields of Big Data and AI. Led by Coursera, the 420-minute course covers key concepts from CAP theorem to Turing assumption, offering a comprehensive starting guide. Available with a Starter subscription, this engaging overview is perfect for those looking to dive into these fascinating topics within Science & Engineering.

Elio Masciari