Big Data Analytics

Author: Emilia Colonese

What is Big Data Analytics? 

Let's divide and conquer..

Big Data is defined as collections of datasets whose volume, velocity or variety is so large that

it is difficult to store, manage, process and analyze the data using traditional databases and

data processing tools.

Analytics is the process of extracting and creating information from raw data by filtering, processing,

categorizing, condensing and contextualizing the data. This information obtained is then

organized and structured to infer knowledge about the system and/or its users, its environment,

and its operations and progress towards its objectives, thus making the systems smarter and

more efficient.

Big Data Analytics focus on big data tools & frameworks, programming models, data management and implementation aspects of big data applications.

I teach Big Data Analytics in the Data Science Specialization course at Instituto Tecnológico de Aeronáutica (ITA). The objective of this subject is to provide the theoretical foundation for data modeling, storage, and analysis techniques in Big Data environments.

It includes open-source big data tools to form the technological basis of this discipline.

The next class starts in November 2025. Welcome to my fellow students!