Hadoop Platform and Application Framework
This course provides an introduction to the Hadoop platform and application framework, giving novice programmers and business people the opportunity to learn the core tools used to wrangle and analyze big data. Through hands-on examples with Hadoop and Spark frameworks, participants will gain an understanding of the Hadoop architecture, software stack, and execution environment, as well as the concepts and techniques such as Map-Reduce used to solve big data problems. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
8th May, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
What skills and knowledge will you acquire during this course?
The skills and knowledge that will be acquired during this course include understanding the core tools used to wrangle and analyze big data, familiarity with Hadoop and Spark frameworks, knowledge of the specific components and basic processes of the Hadoop architecture, software stack, and execution environment, understanding of important concepts and techniques such as Map-Reduce used to solve fundamental problems in big data, and the ability to have conversations about big data and the data analysis process.
How does this course contribute to professional growth?
This course contributes to professional growth by providing novice programmers or business people with the knowledge and skills to understand and work with big data. Participants will learn about the core tools used in data analysis, such as Hadoop and Spark frameworks, which are widely used in the industry. By gaining hands-on experience and learning about the components and processes of the Hadoop architecture, software stack, and execution environment, participants will be able to confidently discuss and explain these concepts. The course also covers important techniques like Map-Reduce, which are essential for solving problems in big data. Overall, completing this course will empower individuals to engage in conversations about big data and the data analysis process, enhancing their professional capabilities.
Is this course suitable for preparing further education?
This course is suitable for individuals who are interested in understanding the core tools used to wrangle and analyze big data. It is designed for novice programmers or business people who have no prior experience in this field. Throughout the course, participants will have the opportunity to engage in hands-on examples using Hadoop and Spark frameworks, which are widely used in the industry. By the end of the course, participants will be able to explain the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. The assignments will guide participants in applying important concepts and techniques, such as Map-Reduce, which are used to solve fundamental problems in big data. Overall, this course aims to empower individuals to have conversations about big data and the data analysis process.
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