Cloudera How To Videos

Course Feature
  • Cost
    Free
  • Provider
    Youtube
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    On-Demand
  • Learners
    No Information
  • Duration
    3.00
  • Instructor
    /
Next Course
2.5
0 Ratings
This course provides an overview of Cloudera's Shared Data Experience (SDX) and how to use it to secure and govern data. It also covers Workload Manager and Workload XM, and how to use them to gain insights. Finally, it shows how to use data engineering and data warehouse in the cloud to put it all together.
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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 overview of Cloudera's How To Videos. It covers topics such as security and governance with Cloudera Shared Data Experience (SDX) Demo Highlight, Authorization in Workload Manager, Workload XM: Classifying Workloads to Gain Insights, and Data Engineering and Data Warehouse in the Cloud - Putting it all Together. Participants will gain an understanding of the various components of Cloudera's How To Videos and how they can be used to improve their data management and analytics capabilities.

[Applications]
The application of this course can be seen in the areas of security and governance, authorization, workload classification, and data engineering and data warehouse in the cloud. It is suggested that users apply the concepts learned in this course to their own projects and organizations to ensure secure and efficient data management. Additionally, users should consider leveraging the Cloudera Shared Data Experience (SDX) to gain insights into their workloads and to better understand the data engineering and data warehouse in the cloud.

[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 well as developing and deploying data models. Data Engineers are in high demand due to the increasing need for data-driven decision making. As the demand for data-driven insights continues to grow, the need for Data Engineers will continue to increase.

2. Data Scientist: Data Scientists are responsible for analyzing data and extracting insights from it. They use a variety of techniques, such as machine learning, natural language processing, and statistical analysis, to uncover patterns and trends in data. Data Scientists are in high demand due to the increasing need for data-driven decision making. As the demand for data-driven insights continues to grow, the need for Data Scientists will continue to increase.

3. Cloud Architect: Cloud Architects are responsible for designing, building, and maintaining cloud-based architectures. They are also responsible for ensuring data security and compliance, as well as developing and deploying cloud-based applications. Cloud Architects are in high demand due to the increasing need for cloud-based solutions. As the demand for cloud-based solutions continues to grow, the need for Cloud Architects will continue to increase.

4. DevOps Engineer: DevOps Engineers are responsible for automating and streamlining the development and deployment of applications. They are also responsible for ensuring data security and compliance, as well as developing and deploying cloud-based applications. DevOps Engineers are in high demand due to the increasing need for cloud-based solutions. As the demand for cloud-based solutions continues to grow, the need for DevOps Engineers will continue to increase.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree path is becoming increasingly popular as the demand for data-driven solutions continues to grow.

2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. This degree path is becoming increasingly popular as organizations look to leverage data to gain insights and make better decisions.

3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems that can learn and adapt to their environment. It covers topics such as natural language processing, computer vision, and robotics. This degree path is becoming increasingly popular as organizations look to leverage AI to automate processes and gain a competitive edge.

4. Master of Science in Cloud Computing: This degree path focuses on the development and deployment of cloud-based applications and services. It covers topics such as cloud architecture, distributed systems, and cloud security. This degree path is becoming increasingly popular as organizations look to leverage the cloud to reduce costs and increase agility.

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