Big Data Hadoop Course
Big Data Hadoop Course, available at $44.99, has an average rating of 4.15, with 16 lectures, based on 73 reviews, and has 13785 subscribers.
You will learn about Industry-Relevant Curriculum: Courses designed to meet industry demands. Real-world Case Studies: Analyzing real-world scenarios to develop problem-solving skills. Hadoop enables the seamless addition of nodes to a cluster, making it highly scalable to handle increasing data loads. The open-source nature of Hadoop eliminates the need for expensive hardware, making it a cost-effective solution for Big Data processing. This course is ideal for individuals who are Data Professionals: Data scientists, analysts, and engineers looking to enhance their skills in managing and analyzing large datasets. or IT Professionals: System administrators and developers interested in understanding and implementing Big Data solutions. or Business Analysts: Professionals aiming to extract valuable insights from data to drive business decisions. It is particularly useful for Data Professionals: Data scientists, analysts, and engineers looking to enhance their skills in managing and analyzing large datasets. or IT Professionals: System administrators and developers interested in understanding and implementing Big Data solutions. or Business Analysts: Professionals aiming to extract valuable insights from data to drive business decisions.
Enroll now: Big Data Hadoop Course
Summary
Title: Big Data Hadoop Course
Price: $44.99
Average Rating: 4.15
Number of Lectures: 16
Number of Published Lectures: 16
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 16
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
- Industry-Relevant Curriculum: Courses designed to meet industry demands.
- Real-world Case Studies: Analyzing real-world scenarios to develop problem-solving skills.
- Hadoop enables the seamless addition of nodes to a cluster, making it highly scalable to handle increasing data loads.
- The open-source nature of Hadoop eliminates the need for expensive hardware, making it a cost-effective solution for Big Data processing.
Who Should Attend
- Data Professionals: Data scientists, analysts, and engineers looking to enhance their skills in managing and analyzing large datasets.
- IT Professionals: System administrators and developers interested in understanding and implementing Big Data solutions.
- Business Analysts: Professionals aiming to extract valuable insights from data to drive business decisions.
Target Audiences
- Data Professionals: Data scientists, analysts, and engineers looking to enhance their skills in managing and analyzing large datasets.
- IT Professionals: System administrators and developers interested in understanding and implementing Big Data solutions.
- Business Analysts: Professionals aiming to extract valuable insights from data to drive business decisions.
Introduction:
Welcome to the era of Big Data, where the ability to analyze and manage vast amounts of information is a crucial skill in the professional world. Hadoop, an open-source framework, has emerged as a game-changer in the field of Big Data processing and analytics. In this blog post, we’ll take a deep dive into the world of Hadoop online courses, exploring their overview, benefits, target audience, career scope, salary packages, requirements, key features, and certification options.
Overview of Hadoop:
Hadoop is a distributed storage and processing framework designed to handle large-scale data sets across clusters of computers. It comprises two main components – Hadoop Distributed File System (HDFS) for storage and MapReduce for processing. With its ability to scale horizontally, Hadoop is ideal for processing and analyzing massive datasets efficiently.
Benefits of Learning Hadoop:
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Scalability: Hadoop enables the seamless addition of nodes to a cluster, making it highly scalable to handle increasing data loads.
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Cost-Effective: The open-source nature of Hadoop eliminates the need for expensive hardware, making it a cost-effective solution for Big Data processing.
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Fault Tolerance: Hadoop’s distributed nature ensures fault tolerance, with data replicated across multiple nodes, reducing the risk of data loss.
Who Can Learn Hadoop:
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Data Professionals: Data scientists, analysts, and engineers looking to enhance their skills in managing and analyzing large datasets.
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IT Professionals: System administrators and developers interested in understanding and implementing Big Data solutions.
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Business Analysts: Professionals aiming to extract valuable insights from data to drive business decisions.
Career Scope:
The demand for Hadoop professionals is on the rise across various industries, including finance, healthcare, e-commerce, and more. Job roles may include:
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Big Data Engineer
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Hadoop Developer
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Data Scientist
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Business Intelligence Analyst
Salary Package with Job Roles in India and Abroad:
In India, entry-level Hadoop professionals can expect salaries ranging from INR 5-8 lakhs per annum, with experienced professionals earning upwards of INR 15 lakhs. Abroad, salaries can range from $70,000 to $120,000 per annum, depending on experience and location.
Course Curriculum
Chapter 1: Introduction
Lecture 1: 1.1. Overview and Market Trenda of Hadoop
Lecture 2: 1.2. What is Hadoop
Lecture 3: 1.3. What is Big Data
Lecture 4: 1.4. Big Data Application Example in Different Industries
Lecture 5: 1.5. Hadoop Ecosystem
Chapter 2: Big Data and Characteristics
Lecture 1: 2.1. Big Data and Characteristics
Chapter 3: Common Big Data Customer Scenarios
Lecture 1: 3.1. Common Big Data Customer Scenarios
Chapter 4: Hadoop and Distributed File System
Lecture 1: 4.1. Distributed File System (DFS)
Lecture 2: 4.2. Hadoop & It Structure and Characteristics
Chapter 5: Linux Command for Hadoop
Lecture 1: 5.1. Linux Command for Hadoop
Chapter 6: Hadoop Distributed File System (HDFS)
Lecture 1: 6.1. Hadoop Distributed File System (HDFS)
Chapter 7: MapReduce in Hadoop
Lecture 1: 7.1. MapReduce in Hadoop
Lecture 2: 7.2. MapReduce Architecture
Lecture 3: 7.3. Executing MapReduce Application on YARN
Lecture 4: 7.4. Demo of Wordcount Program
Lecture 5: 7.5. Anatomy of a MapReduce Program
Instructors
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Makeintern Course
Online Course
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 6 votes
- 3 stars: 10 votes
- 4 stars: 29 votes
- 5 stars: 26 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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