Big data and Hadoop framework
Big data and Hadoop framework, available at Free, has an average rating of 4.6, with 14 lectures, based on 489 reviews, and has 17871 subscribers.
You will learn about Understand Big data technologies, Data analytics and Hadoop framework This course is ideal for individuals who are Anyone who is interested in learning Big data, Data analytics and Hadoop Framework It is particularly useful for Anyone who is interested in learning Big data, Data analytics and Hadoop Framework.
Enroll now: Big data and Hadoop framework
Summary
Title: Big data and Hadoop framework
Price: Free
Average Rating: 4.6
Number of Lectures: 14
Number of Published Lectures: 14
Number of Curriculum Items: 14
Number of Published Curriculum Objects: 14
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Understand Big data technologies, Data analytics and Hadoop framework
Who Should Attend
- Anyone who is interested in learning Big data, Data analytics and Hadoop Framework
Target Audiences
- Anyone who is interested in learning Big data, Data analytics and Hadoop Framework
This course is focusing on Big data and Hadoop technologies, hands on demos,
Section 1 – Big data
1.1 Big data introduction
1.2 Big data history
1.3 Big data technologies
1.4 Big data characteristics
1.5 Big data Applications
1.6 Data Lake
1.7 Data Science and Data scientist
Section 2 – Hadoop
2.1 – Hadoop introduction
2.2 – HDFS-Overview
2.3 – Hadoop Architecture
2.3a – Hadoop Architecture – assumptions and goals
2.4 – Demo-Hadoop install – sw download verify integrity
2.5 – Demo-Hadoop install – Java ssh configure
2.6 – Demo hadoop access by browser
Course Curriculum
Chapter 1: Big data
Lecture 1: Big data Introduction
Lecture 2: 1.2 Big data history
Lecture 3: 1.3 Big data technologies
Lecture 4: 1.4 Big data characteristics
Lecture 5: 1.5 Big data Applications
Lecture 6: 1.6 Data Lake
Lecture 7: 1.7 Data science and Data scientist
Chapter 2: Hadoop
Lecture 1: 2.1 – Hadoop introduction
Lecture 2: 2.2 – HDFS-Overview
Lecture 3: 2.3 – Hadoop Architecture
Lecture 4: 2.3a – Hadoop Architecture – assumptions and goals
Lecture 5: 2.4 – Demo-Hadoop install – sw download verify integrity
Lecture 6: 2.5 – Demo-Hadoop install – Java ssh configure
Lecture 7: 2.6 Demo hadoop access by browser
Instructors
-
Kaushik Vadali
Cloud Infra and Info Security professional at CBTU
Rating Distribution
- 1 stars: 31 votes
- 2 stars: 51 votes
- 3 stars: 133 votes
- 4 stars: 160 votes
- 5 stars: 114 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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