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Updated in [May 25th, 2023]

This course provides an overview of Cloudera Hadoop Administration. It covers the installation of CDH Cluster using Cloudera Manager installer on Amazon AWS, CDH 5.12.0 manual installation on AmazonAWS - Part 1, CDH 5.13.0.0 using Active Directory hosted on AmazonAmazon.com - Part 2, and CDh 5.10.0 Quick Start VM Deployment - Part 3. Participants will gain an understanding of the installation process and the various components of the Cloudera Hadoop Administration.

[Applications]
After completing this course, participants can apply their knowledge to install and configure a Cloudera Hadoop cluster on Amazon AWS. They can also use the Cloudera Manager installer to deploy the cluster and use the Active Directory hosted on Amazon to manage the cluster. Additionally, they can use the Quick Start VM Deployment to quickly deploy a CDH 5.10.0 cluster.

[Career Paths]
[Title]Data Science
[Description]Data Science is a field of study that combines mathematics, statistics, computer science, and domain knowledge to extract insights from data. It involves the use of algorithms, machine learning, and artificial intelligence to analyze large datasets and uncover patterns and trends. Data Science is used to develop predictive models and to make decisions based on data-driven insights.

[Title]Data Engineering
[Description]Data Engineering is the process of designing, building, and maintaining data systems. It involves the use of data engineering tools and techniques to collect, store, process, and analyze large datasets. Data Engineers are responsible for designing and developing data pipelines, data warehouses, and data lakes. They also develop and maintain data models and ETL processes.

[Title]Business Intelligence
[Description]Business Intelligence (BI) is the process of collecting, analyzing, and presenting data to help organizations make better decisions. BI involves the use of data visualization tools, data mining techniques, and predictive analytics to uncover insights from data. Business Intelligence professionals are responsible for designing and developing BI solutions that enable organizations to make data-driven decisions.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science principles and technologies, including programming, software engineering, computer networks, and database systems. Students will also learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing. This degree path is ideal for those looking to pursue a career in software engineering, computer systems analysis, or computer programming.

2. Master of Science in Data Science: This degree program focuses on the application of data science principles and techniques to solve real-world problems. Students will learn about data mining, machine learning, and predictive analytics, as well as the use of big data technologies such as Hadoop and Spark. This degree path is ideal for those looking to pursue a career in data science, analytics, or business intelligence.

3. Master of Science in Cloud Computing: This degree program focuses on the design, implementation, and management of cloud computing systems. Students will learn about cloud architecture, security, and scalability, as well as the use of cloud-based technologies such as Amazon Web Services and Microsoft Azure. This degree path is ideal for those looking to pursue a career in cloud computing, software engineering, or system administration.

4. Doctor of Philosophy in Computer Science: This degree program provides students with an in-depth understanding of computer science principles and technologies. Students will learn about advanced topics such as artificial intelligence, machine learning, and distributed systems, as well as the use of big data technologies such as Hadoop and Spark. This degree path is ideal for those looking to pursue a career in research or academia.