EVERYONE CAN LEARN FAST ABOUT BIG DATA TECHNOLOGIES

Article 21 — Big Data for Market Professionals

Boston Consulting Group predicted that by 2025, software or intelligent robots would substitute a quarter of the world’s jobs.

A study from Oxford University found that half of US jobs are at risk of automation within the next 20 years.

Similar warnings appear in the press, conferences, and Human Resources conferences associated with technology.

It is necessary to assess whether your professional activities will not be a victim of this new era of exponential technologies, Big Data and Digital Transformation.

Perils exist that technology replaces jobs, despite generating others, not in enough quantity to cover the eliminated.

Uber is replacing…

EVERYONE CAN LEARN FAST ABOUT BIG DATA TECHNOLOGIES

Article 20 — Big Data for Executives

In the age Big Data, Executive Business leaders must think about the data volume and the impact they cause on business.

Have to pay attention to new sources of data from customers, products, services and business operations.

Have to observe the data flow and types, structured, unstructured, such as those from social networks, IoT, emails, and blogs. Data that can count a new history of the company.

This new data history allow identify new opportunities for revenue generation, which is the center of business development.

One fact to consider is to answer the question: Does the company need Big Data…

EVERYONE CAN LEARN FAST ABOUT BIG DATA TECHNOLOGIES

Article 19 — How to become a Data Scientist?

We saw earlier that:

• We value the Data Scientist profession, taking into account the growth of the market Big Data, Analytics, Data Science and Machine Learning.
• Data Scientist has an aura surrounding him, envisaged as a unicorn, hard to find.
• Big Data is a collective work, a team of people and not a single individual.
• The data analysis is becoming a discipline mandatory regardless of the profession.

In Star Trek film, the Data Scientist is Dr. …

EVERYONE CAN LEARN FAST ABOUT BIG DATA TECHNOLOGIES

Article 18 — Big Data Careers

A variety of professions and careers have emerged in recent years, directing to the Big Data, Data Science, Analytics, and Machine Learning areas, making this attractive.

Interdisciplinary roles have emerged, which have spawned new Big Data careers, and this process continues as the technology advance.

Is it any wonder that we have new features, new data management tools that end up remodeling careers, improving the labor market and ways of hire.

The most comprehensive career in Big Data is the Data Scientist as we saw earlier.

Other careers for Big Data, Data Science and Analytics are:

1 — Business Analytics

…

EVERYONE CAN LEARN FAST ABOUT BIG DATA TECHNOLOGIES

Article 17 — Introduction to Data Visualization

Data Visualization has become a fascinating area in the Big Data era, with the challenge of represent data in large volumes.

The final work of a Data Scientist is to show the results of analyzes, statistical design, computational algorithms, the history that the data want to tell, prophecies and predictions that will happen.

For this, it uses data visualization techniques, interactive and visual ways to represent the information in a format more human, more attractive and visual.

What is Data Visualization?

We can say that Data Visualization are ways of representing the data, using images combination, figures, graphics, colors, sounds, graphics and visual elements.

…

Hello!

Welcome to the article series “Big Data for Executives and Market Professionals.”

Our goal here is to provide an overview of Big Data. Concepts, technologies, applications, case studies. Data analysis, data insights, machine learning, and practical actions for business results.

The articles alerts Executives and Market Professionals interested in learning about this new area.

Big Data is revolutionizing companies, products, and services, changing markets, and professional careers.

The articles was written to provide an overview of Big Data, Data Science, and Machine Learning.

The Knowledge and content structured in an informative, nontechnical way, for a better understanding and rapid learning.

In the articles Sections, we describe several curiosities on each of the themes. It draws attention and expands your view of Big Data.

Thank you for your interest and wish you a pleasant reading.

Read the Articles at the link:

https://bit.ly/3sv8XDo

EVERYONE CAN LEARN FAST ABOUT BIG DATA TECHNOLOGIES

Article 16 — Introduction to Machine Learning

Machine Learning (ML) is a commonly used term.

Machine Learning applications have been growing in many areas of human activities such as health, education, entertainment, fraud and industry.

Machine Learning and Big Data complement each other, with large volumes of data being used to “train” or “educate” intelligent application, which goes over time learning.

Let’s describe Machine Learning at a conceptual level so we can visualize its application with Big Data and practical market applications.

Data Science is the practice of collecting, organizing, and optimizing complex data, discovering variable relationships and anomalies, and developing applications that transform data into insights.

…

EVERYONE CAN LEARN FAST ABOUT BIG DATA TECHNOLOGIES

Article 15 — Tools for Data Analysis

Data Analytics Tools (credits pixabay)

Data analysis tools are in high demand.

Data become an asset to the company. It only has value if possible to extract knowledge and insights.

There are many Data Analysis tools.

Ranging from the most used programming languages such as Python and R, tools oriented towards statistical or mathematical solutions, tools that have evolved from BI, commercial tools from big companies such as Amazon, Microsoft, Google, IBM, until those who were born in the era of Big Data.

Of the dozens of existing tools, we list here some of them, used in Analytics, Data Science…