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Big Data Technologies and Applications

Master essential Big Data technologies and tools in this beginner's course. Learn processing, analysis, and real-world applications.

Master essential Big Data technologies and tools in this beginner's course. Learn processing, analysis, and real-world applications.

This comprehensive course introduces the fundamentals of Big Data technologies and their practical applications. Students learn essential concepts, tools, and techniques for processing and analyzing massive datasets. The curriculum covers the Hadoop ecosystem, Apache Spark, real-time processing with Kafka, and machine learning applications. Tailored for data professionals and analysts, the course explores real-world applications across e-commerce, healthcare, and finance sectors.

1,287 already enrolled

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Big Data Technologies and Applications

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Explain the characteristics and challenges of Big Data

  • Identify different Big Data technologies and their roles

  • Apply Big Data tools to derive insights from large datasets

  • Explore real-world applications across various domains

Skills you'll gain

big data technologies
data processing
hadoop ecosystem
apache spark
kafka
machine learning
data analysis
real-time processing

This course includes:

51 Minutes PreRecorded video

1 assignment,2 discussion prompts

Access on Mobile, Tablet, Desktop

FullTime access

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There is 1 module in this course

This introductory course covers essential concepts and applications of Big Data technologies. The curriculum explores the characteristics and challenges of Big Data, introducing various technologies and their roles in data processing and analysis. Through comprehensive modules, students learn about the Hadoop ecosystem, Apache Spark, machine learning with Big Data, and real-time processing with Apache Kafka. The course includes practical applications across e-commerce, healthcare, and finance sectors.

Big Data Technologies and Applications

Module 1 · 1 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Caio Avelino
Caio Avelino

1,819 Students

6 Courses

Data Science Expert and Business Intelligence Innovator

Caio Avelino brings extensive expertise in Data Science, Business Intelligence, and Artificial Intelligence, combining academic excellence with practical industry experience. His educational background includes a degree in Electrical Engineering from Unicamp, international experience at Monash University in Melbourne, and specialized training in Data Science from Data Science Academy. As an instructor and professional, he specializes in complex analytics, dashboard development, and Machine Learning model creation. His teaching portfolio includes courses in Big Data Technologies, Data Warehousing, Business Intelligence, and Advanced Statistical Analysis using Seaborn. His approach emphasizes practical problem-solving and continuous learning, particularly in startup environments where he has contributed to developing innovative data solutions. His passion for knowledge sharing is evident through his training programs, helping colleagues and students master data science concepts. Currently pursuing further studies in Artificial Intelligence, he maintains a commitment to staying at the forefront of technological advancement while making complex technical concepts accessible to learners.

Big Data Technologies and Applications

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.