Administration - Hadoop - Cloudera Hadoop on AWS

Course Feature
  • Cost
    Free
  • Provider
    Youtube
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    On-Demand
  • Learners
    No Information
  • Duration
    18.00
  • Instructor
    /
Next Course
2.0
3 Ratings
This course provides an introduction to Hadoop Administration on AWS using CDH5. It covers topics such as EC2 pricing, provisioning EC2 instances, cluster planning, signing up for AWS, key pair authentication, and security groups. It also provides an overview of the CCAH certification and how to prepare for it. This course is essential for anyone looking to learn about Hadoop Administration on AWS.
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Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 25th, 2023]

This course provides an introduction to Hadoop Administration and Cloudera Hadoop on AWS. Participants will learn about EC2 pricing, provisioning EC2 instances, cluster planning, and authentication and security groups. They will also gain an understanding of Amazon Web Services and how to sign up and use the different regions. At the end of the course, participants will be prepared to take the CCAH Hadoop certification exam.

[Applications]
The application of this course can be seen in the areas of data storage, data analysis, and data processing. It can be used to store and analyze large amounts of data, as well as to process data in a distributed manner. It can also be used to create clusters of computers to process data in parallel. Additionally, it can be used to create a secure environment for data storage and analysis. Furthermore, it can be used to create a secure environment for data storage and analysis on the cloud. Finally, it can be used to create a secure environment for data storage and analysis on the cloud using Amazon Web Services.

[Career Paths]
1. Hadoop Administrator: Hadoop Administrators are responsible for the installation, configuration, and maintenance of Hadoop clusters. They must have a strong understanding of the Hadoop architecture and be able to troubleshoot and optimize the performance of the cluster. The demand for Hadoop Administrators is increasing as more organizations are adopting Hadoop for their data processing needs.

2. Big Data Engineer: Big Data Engineers are responsible for designing and developing data pipelines and architectures to process large amounts of data. They must have a strong understanding of the Hadoop ecosystem and be able to design and implement solutions that meet the needs of the organization. The demand for Big Data Engineers is increasing as more organizations are looking to leverage the power of Big Data.

3. Data Scientist: Data Scientists are responsible for analyzing large amounts of data and extracting insights from it. They must have a strong understanding of statistics and machine learning algorithms and be able to use them to uncover patterns and trends in data. The demand for Data Scientists is increasing as more organizations are looking to leverage the power of data to make better decisions.

4. Cloud Architect: Cloud Architects are responsible for designing and implementing cloud-based solutions. They must have a strong understanding of cloud computing technologies and be able to design and implement solutions that meet the needs of the organization. The demand for Cloud Architects is increasing as more organizations are looking to leverage the power of the cloud to reduce costs and increase efficiency.

[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 cloud computing, big data, and artificial intelligence.

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 and cloud computing technologies.

3. Master of Science in Artificial Intelligence: This degree program focuses on the development of intelligent systems and their applications. Students will learn about the fundamentals of artificial intelligence, including machine learning, natural language processing, and robotics. They will also gain an understanding of the latest trends in artificial intelligence, such as deep learning and reinforcement learning.

4. Master of Science in Cloud Computing: This degree program focuses on the development and deployment of cloud computing applications. Students will learn about cloud computing architectures, cloud security, and cloud storage. They will also gain an understanding of the latest trends in cloud computing, such as serverless computing and containerization.

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