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Coursera

Big Data Technologies and Applications

Coursera Instructor Network via Coursera

Overview

In today's digital landscape, the exponential growth of data presents both challenges and opportunities. Big Data technologies have emerged as crucial tools for organizations to harness the power of large datasets and derive actionable insights. This course serves as an introduction to Big Data technologies and their applications, covering essential concepts, tools, and techniques for processing, analyzing, and deriving value from massive volumes of data. This course is tailored for Data Scientists, Data Engineers, IT Professionals, Business Analysts, and Researchers who are eager to deepen their understanding of Big Data. To make the most of this learning experience, participants should have a basic comprehension of data concepts and programming fundamentals. Throughout the course, learners will gain a thorough understanding of the characteristics and challenges associated with Big Data. They will be introduced to various Big Data technologies and learn how each plays a crucial role in data processing and analysis. Practical applications of these tools will enable learners to derive valuable insights from large datasets. Additionally, the course will delve into real-world applications of Big Data across various domains, showcasing its transformative impact. By the end of the course, participants will be well-equipped to explain Big Data concepts, utilize relevant technologies, and apply their knowledge to solve complex data challenges in their respective fields.

Syllabus

  • Big Data Technologies and Applications
    • In today's digital landscape, the exponential growth of data presents both challenges and opportunities. Big Data technologies have emerged as crucial tools for organizations to harness the power of large datasets and derive actionable insights. This course serves as an introduction to Big Data technologies and their applications, covering essential concepts, tools, and techniques for processing, analyzing, and deriving value from massive volumes of data.

Taught by

Caio Avelino

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