A quick tour on Big Data and Business Intelligence

This course is part of Autonomous Vehicle Engineering Specialization

Instructor: Elio Masciari

Access provided by Believe

3,834 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

26 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.

26 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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This course is part of the Autonomous Vehicle Engineering Specialization

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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.

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

What's included

4 videos16 readings1 assignment

4 videos Total 15 minutes

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

16 readings Total 88 minutes

Why is Big Data so popular? 10 minutes
How banks and social media use big data 10 minutes
How science use big data 10 minutes
Conclusions 3 minutes
Big Data Key Features 5 minutes
A closer look at Variability 5 minutes
A case of study 6 minutes
A closer look to the long tail effect 5 minutes
Some Big Data side effects 3 minutes
Conclusions 1 minute
Dealing with parallelism to Tame Big Data 6 minutes
Centralized System vs. Distributed System 3 minutes
Client Server's models 7 minutes
Broker architectural style 6 minutes
Service-Oriented Architecture (SOA) 7 minutes
Conclusions 1 minute

1 assignment Total 30 minutes

Big Data Checkpoint 30 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 videos Total 10 minutes

Hadoop Ecosystem 3 minutes
Hadoop and HDFS 4 minutes
Hadoop and Map-Reduce 3 minutes

6 readings Total 64 minutes

How to deal with Big Data? Hadoop a good starting point 15 minutes
Hadoop: related projects 7 minutes
Other related projects 7 minutes
Conclusions 15 minutes
Managing HDFS effectively by Hadoop 10 minutes
Using Map-Reduce on Top of Hadoop 10 minutes

1 assignment Total 30 minutes

Testing Hadoop understanding 30 minutes

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

What's included

3 videos9 readings1 assignment

3 videos Total 11 minutes

Pig Latin 3 minutes
Apache Hive 4 minutes
Beyond Map Reduce 4 minutes

9 readings Total 52 minutes

How to improve data manipulation with Pig Latin 8 minutes
How to improve data manipulation with Pig Latin (part 2) 8 minutes
Conclusions 1 minute
How to improve data manipulation with Apache Hive 8 minutes
Hive 9 minutes
Conclusions 1 minute
What’s next Map Reduce? 8 minutes
Spark 8 minutes
Conclusions 1 minute

1 assignment Total 30 minutes

Checking Data Manipulation Skills 30 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 videos Total 11 minutes

NO SQL 4 minutes
CAP Theorem 4 minutes
Artificial Intelligence 4 minutes

12 readings Total 65 minutes

How to deal with Big Data Efficiently? The NoSQL approach 7 minutes
Cassandra 7 minutes
Graph vs.RDBMS 7 minutes
Data access in key-values store 4 minutes
Conclusions 1 minute
Some Theory on Big Data Management 10 minutes
The Cap Theorem with Apache Cassandra® and MongoDB 8 minutes
Conclusions 1 minute
How can we extract Value? AI at first glance 8 minutes
Transation vs. BI Systems and BI Data 5 minutes
Artificial Intelligence 6 minutes
Conclusions 1 minute

1 assignment Total 30 minutes

Wrap-up 30 minutes

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Instructor

Instructor ratings

(5 ratings)

Elio Masciari

Università di Napoli Federico II

1 Course 3,834 learners

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Università di Napoli Federico II

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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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