Hadoop: Fundamentals
5.0 /5- Offered byAlison
Hadoop: Fundamentals at Alison Overview
Hadoop: Fundamentals
at Alison
Learn the history of the BigData ecosystem Hadoop, its components, architecture and uses in this free online course
Duration | 5 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Hadoop: Fundamentals at Alison Highlights
Hadoop: Fundamentals
at Alison
- Earn a certificate of completion from Alison
Hadoop: Fundamentals at Alison Course details
Hadoop: Fundamentals
at Alison
Skills you will learn
What are the course deliverables?
- Define PuTTY
- Explain Volume, Velocity and Variety in terms of BigData
- List the data components used by Hadoop
- Discuss the basic concept of Hadoop architecture
- Summarize Velocity, Variety and Volume in terms of BigData
- Summarize the history of Hadoop
- Explain the abbreviation B.A.S.H
- Summarize the challenges of BigData
- List the major users of Hadoop
- Discuss the motivation for HDFS
- Define BigData
- Differentiate between NameNode and DataNode
More about this course
- This free online course introduces you to basic concepts of Hadoop using Hortonworks Hadoop Sandbox
- It provides practical knowledge and hands-on experience in defining as well as implementing Hadoop architecture in Hadoop Distributed File System (HDFS)
- Topics to be covered include BigData sources, Hadoop's Ecosystem, Hadoop Architecture, Hadoop ETL (Extract, Transform, Load process), data delivery and also the uses of Hadoop ETL tools
- The Hadoop Sandbox provides a working cluster and utilities like PuTTY (data console), which allows you to interact with the cluster in order to run jobs, perform file system operations and demonstrate the capabilities of Hadoop
- This BigData course introduces the concept of BigData, some components of the Hadoop Architecture and motivation for HDFS (Hadoop Distributed File System) in the first module
- In this course, you will explore how the term “BigData” is used to describe the exponential growth and availability of both structured and unstructured data, and how critical capturing and managing a lot of data can be especially when it arrives from multiple sources
- Next in this Hadoop course you will learn about some components of Hadoop architecture, how they fit within the Hadoop framework and the expression of this architecture in HDFS and MapReduce
Hadoop: Fundamentals at Alison Curriculum
Hadoop: Fundamentals
at Alison
Hadoop Architecture
Hadoop Architecture - Learning Outcomes
Prerequisites Of Hadoop
Introduction To Hadoop
History Of Hadoop
Hadoop Architecture
Hadoop Ecosystem
Data Delivery And Hadoop Sandbox
HDFS Basics
Hadoop Architecture - Lesson Summary
Hadoop Architecture Assessment
ETL And MapReduce
ETL And MapReduce - Learning Outcomes
Big Data Source And ETL
ETL Demo
Understanding MapReduce
MapReduce Demo
Developing MapReduce
Schedule MapReduce
ETL And MapReduce - Lesson Summary
ETL And MapReduce Assessment
Course Assessment
Hadoop Fundamentals
Final Assessment
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Hadoop: Fundamentals at Alison Students Ratings & Reviews
Hadoop: Fundamentals
at Alison
5/5
1 Rating- 4-51
S
Sourabh Awatade
Hadoop: Fundamentals
Offered by Alison
5
Learning Experience: Learning experience was good
Faculty: Instructors did not teach well
Topic they have covered
Course Support: No career support provided
Reviewed on 14 May 2022Read More
View 1 Review
Hadoop: Fundamentals
at Alison
Student Forum
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