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Updated in [April 29th, 2023]

This course provides an overview of deploying a Hadoop cluster. Students will learn how to tackle big data problems with their own Hadoop clusters. The course will cover topics such as deploying Hadoop clusters in the cloud, using them to gain insights from large datasets, and understanding the different components of a Hadoop cluster. Students will also learn how to configure and manage a Hadoop cluster, as well as how to use the various tools and technologies associated with Hadoop. By the end of the course, students will have a better understanding of how to use Hadoop to gain insights from large datasets.

[Applications]
After completing this course, students can apply their knowledge to deploy Hadoop clusters in the cloud for their own big data projects. They can use the clusters to analyze large datasets and gain insights from them. Additionally, they can use the clusters to develop and deploy applications that use big data.

[Career Paths]
1. Data Engineer: Data Engineers are responsible for designing, building, and maintaining data pipelines and architectures. They are also responsible for ensuring data quality and integrity. As the demand for big data solutions continues to grow, the need for Data Engineers is expected to increase significantly.

2. Data Scientist: Data Scientists use data to uncover insights and trends. They use a variety of techniques, such as machine learning, to analyze data and develop predictive models. As the demand for data-driven decision making increases, the need for Data Scientists is expected to grow.

3. Big Data Architect: Big Data Architects are responsible for designing and implementing big data solutions. They must have a deep understanding of the technologies used to store, process, and analyze large datasets. As the demand for big data solutions continues to grow, the need for Big Data Architects is expected to increase.

4. Hadoop Administrator: Hadoop Administrators are responsible for managing and maintaining Hadoop clusters. They must have a deep understanding of the Hadoop ecosystem and be able to troubleshoot any issues that arise. As the demand for big data solutions continues to grow, the need for Hadoop Administrators is expected to increase.

[Education Paths]
1. Bachelor's Degree in Computer Science: A Bachelor's Degree in Computer Science provides a comprehensive foundation in the fundamentals of computer science, including programming, software engineering, and data structures. It also covers topics such as artificial intelligence, machine learning, and distributed systems, which are essential for deploying a Hadoop cluster. This degree is becoming increasingly popular as the demand for data scientists and engineers grows.

2. Master's Degree in Data Science: A Master's Degree in Data Science provides a deeper understanding of data analysis and machine learning techniques. It also covers topics such as data mining, predictive analytics, and big data technologies, which are essential for deploying a Hadoop cluster. This degree is becoming increasingly popular as the demand for data scientists and engineers grows.

3. Master's Degree in Artificial Intelligence: A Master's Degree in Artificial Intelligence provides a comprehensive understanding of the principles and techniques of artificial intelligence, including machine learning, natural language processing, and computer vision. It also covers topics such as distributed systems, which are essential for deploying a Hadoop cluster. This degree is becoming increasingly popular as the demand for AI engineers grows.

4. PhD in Computer Science: A PhD in Computer Science provides a comprehensive understanding of the fundamentals of computer science, including programming, software engineering, and data structures. It also covers topics such as artificial intelligence, machine learning, and distributed systems, which are essential for deploying a Hadoop cluster. This degree is becoming increasingly popular as the demand for data scientists and engineers grows.