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A quick tour on Big Data and Business Intelligence

This course is part of Autonomous Vehicle Engineering Specialization

Instructor: Elio Masciari

4,213 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

27 reviews

Beginner level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

27 reviews

Beginner level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Manage big data
Build a big data framework
Get value form big data
Design an AI process

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Autonomous Vehicle Engineering Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

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.

Module details

Getting familiar with the following key concepts by attending the lessons and answering basic queries

What's included

4 videos16 readings1 assignment

4 videosTotal 15 minutes

Welcome!4 minutes
Big Data: an introduction4 minutes
The Five 'V' of Big Data4 minutes
Distributed architecture 3 minutes

16 readingsTotal 88 minutes

Why is Big Data so popular?10 minutes
How banks and social media use big data10 minutes
How science use big data10 minutes
Conclusions3 minutes
Big Data Key Features5 minutes
A closer look at Variability5 minutes
A case of study6 minutes
A closer look to the long tail effect5 minutes
Some Big Data side effects3 minutes
Conclusions1 minute
Dealing with parallelism to Tame Big Data 6 minutes
Centralized System vs. Distributed System3 minutes
Client Server's models7 minutes
Broker architectural style6 minutes
Service-Oriented Architecture (SOA)7 minutes
Conclusions1 minute

1 assignmentTotal 30 minutes

Big Data Checkpoint30 minutes

Getting familiar with the following paradigms by attending the lessons and writing small pieces of programs

What's included

3 videos6 readings1 assignment

3 videosTotal 10 minutes

Hadoop Ecosystem3 minutes
Hadoop and HDFS4 minutes
Hadoop and Map-Reduce3 minutes

6 readingsTotal 64 minutes

How to deal with Big Data? Hadoop a good starting point15 minutes
Hadoop: related projects7 minutes
Other related projects7 minutes
Conclusions15 minutes
Managing HDFS effectively by Hadoop10 minutes
Using Map-Reduce on Top of Hadoop10 minutes

1 assignmentTotal 30 minutes

Testing Hadoop understanding30 minutes

Getting familiar with the following tools by attending the lessons and solving small case studies

What's included

3 videos9 readings1 assignment

3 videosTotal 11 minutes

Pig Latin 3 minutes
Apache Hive4 minutes
Beyond Map Reduce4 minutes

9 readingsTotal 52 minutes

How to improve data manipulation with Pig Latin 8 minutes
How to improve data manipulation with Pig Latin (part 2)8 minutes
Conclusions1 minute
How to improve data manipulation with Apache Hive8 minutes
Hive9 minutes
Conclusions1 minute
What’s next Map Reduce?8 minutes
Spark8 minutes
Conclusions1 minute

1 assignmentTotal 30 minutes

Checking Data Manipulation Skills30 minutes

Getting familiar with the No SQL paradigm and AI building blocks by attending the lessons and designing basic solutions

What's included

3 videos12 readings1 assignment

3 videosTotal 11 minutes

NO SQL4 minutes
CAP Theorem4 minutes
Artificial Intelligence4 minutes

12 readingsTotal 65 minutes

How to deal with Big Data Efficiently? The NoSQL approach7 minutes
Cassandra7 minutes
Graph vs.RDBMS7 minutes
Data access in key-values store4 minutes
Conclusions1 minute
Some Theory on Big Data Management10 minutes
The Cap Theorem with Apache Cassandra® and MongoDB8 minutes
Conclusions1 minute
How can we extract Value? AI at first glance8 minutes
Transation vs. BI Systems and BI Data5 minutes
Artificial Intelligence6 minutes
Conclusions1 minute

1 assignmentTotal 30 minutes

Wrap-up30 minutes

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Instructor

Instructor ratings

(5 ratings)

Elio Masciari

Università di Napoli Federico II

1 Course4,213 learners

Offered by

Università di Napoli Federico II

Learner reviews

5 stars
55.55%
4 stars
18.51%
3 stars
11.11%
2 stars
3.70%
1 star
11.11%

Showing 3 of 27

Reviewed on Aug 30, 2024

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 :)

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