Big Data for Business

What are the challenges of Big Data Analytics and its specificities in the context of business strategy?

How can we better understand the challenges of analyzing large volumes of structured, semi-structured, or unstructured data?

What are the main technological components of Big Data?

What are the infrastructure and project management requirements needed to implement successful data analytics projects?

The answers to these and other questions serve as the basis for developing an introductory program to Big Data. By the end of the Program, participants should be able to understand and apply Big Data Analytics techniques.

General Information

The course will take place at NOVA IMS, on October 1st and 2nd, 2024, at the Campolide Campus of NOVA University Lisbon. The training has a total duration of 16 hours.

Registrations

Registrations for this course are done online, through the NOVA IMS Application Portal.

Course Fee

The fee for this course is €1,450. Included are: coffee breaks, lunches, parking access, and the issuance of a Participation Certificate.

Payment for the course fee can be made in installments: 40% upon registration and 60% up to 2 weeks before the start of the course.

Language

This course will be taught in Portuguese.

Discounts

The discounts below are not cumulative:

10% for Students and Alumni (Bachelor's, Postgraduate, Master's, and Ph.D.) of NOVA University Lisbon, if paid individually;
20% discount on registration for 5 people from the same company;
30% discount for associated entities of AD NOVA IMS.

Who is it for?

The primary recipients of this course include:

Executives involved in sales, marketing, customer relations, e-commerce digital platforms, and IT management;
Professionals who want to deepen their knowledge of Big Data and learn more about the success factors and transformational capacity of Big Data;
Qualified professionals, with or without expertise in the area, who are interested in expanding their knowledge in Big Data Analytics.

Program

Module 1 - Big Data: Definition and Value

3 hours

Objectives

Presentation of (Big) Data Analytics and the importance of information management for successful business models.

Content

Definition of Big Data;
Historical Perspective;
The Economic Value of Big Data;
Examples of data sources and their importance.

Module 2 - Big Data Technologies and Methods

4 hours

Objectives

Presentation of the technological context and main components: Hadoop, map/reduce. Introduction to HIVE and PIG.

Content

The new basic technologies for Big Data (Hadoop, Spark, and others);
The new information system architectures for Big Data;
Big Data and the evolution of analytical methods.

Module 3 - Processes and People

2 hours

Objectives

Presentation of the analytical process and the main analytical profiles.

Content

The new profiles and competencies for Big Data (Data Scientist, Chief Data officer);
The new processes to take advantage of Big Data (Knowledge Discovery in Databases);
The impact of Big Data on Information Management as an asset - Big Data Data Governance.

Module 4 - Adoption and Case Studies