Introduction To Big Data
Introduction To Big Data, available at $39.99, has an average rating of 3.5, with 13 lectures, based on 107 reviews, and has 1177 subscribers.
You will learn about Define Big Data Define High Volume Define High Variety Define High Velocity Understand Google's Big Data Approach Understand a Cluster Understand Nodes Define Google File System -GFS Understand Big Table Understand MapReduce Define Apache Hadoop This course is ideal for individuals who are Data Analyst or SQL Aspiring developers or SQL Developers or Database Administrator or Database Developers or IT Professionals or Aspiring Data Analyst or Aspiring Data Warehouse Professionals It is particularly useful for Data Analyst or SQL Aspiring developers or SQL Developers or Database Administrator or Database Developers or IT Professionals or Aspiring Data Analyst or Aspiring Data Warehouse Professionals.
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Summary
Title: Introduction To Big Data
Price: $39.99
Average Rating: 3.5
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: $54.99
Quality Status: approved
Status: Live
What You Will Learn
- Define Big Data
- Define High Volume
- Define High Variety
- Define High Velocity
- Understand Google's Big Data Approach
- Understand a Cluster
- Understand Nodes
- Define Google File System -GFS
- Understand Big Table
- Understand MapReduce
- Define Apache Hadoop
Who Should Attend
- Data Analyst
- SQL Aspiring developers
- SQL Developers
- Database Administrator
- Database Developers
- IT Professionals
- Aspiring Data Analyst
- Aspiring Data Warehouse Professionals
Target Audiences
- Data Analyst
- SQL Aspiring developers
- SQL Developers
- Database Administrator
- Database Developers
- IT Professionals
- Aspiring Data Analyst
- Aspiring Data Warehouse Professionals
Big data is a big buzz word and everyone seems to be talking about it, but what exactly is big data ? Where is this data coming from, how is it being processed, and how are the results being used?
What is big data?
Big data can be characterised as data that has high volume,high variety and high velocity. Data includes numbers, text, images, audio, video, or any other kind of information you might store on your computer. Volume, velocity, and variety are sometimes called “the 3 V’s of big data.”
What kind of datasets are considered big data?
Examples includes social media network analyzing their members’ data to learn more about them and connect them with content and advertising relevant to their interests, or search engines looking at the relationship between queries and results to give better answers to users’ questions.
How is big data analyzed?
One of the best known methods for turning raw data into useful information is by what is known as MapReduce. MapReduce is a method for taking a large data set and performing computations on it across multiple computers, in parallel. It serves as a model for how program, and is often used to refer to the actual implementation of this model.
MapReduce consists of two parts. The Map function does sorting and filtering, taking data and placing it inside of categories so that it can be analysed. The Reduce function provides a summary of this data by combining it all together.
What You Will Learn
- What is big data
- What is high volume
- What is high variety
- What is high variety
- Google’s Big Data Approach
- What is Cluster
- What is a Node
- What is GFS
- What is Big Table
- What is MapReduce
- What is Hadoop
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: What is Big Data
Lecture 3: What is High Volume
Lecture 4: What is High Variety
Lecture 5: What is High Velocity
Chapter 2: Google's Big Data Approach | Introduction To Hadoop
Lecture 1: Introduction to the Google Approach
Lecture 2: What is a cluster
Lecture 3: What is a Node
Lecture 4: The Google File System -GFS
Lecture 5: Google's Big Table
Lecture 6: What is MapReduce
Lecture 7: Introduction To Apache Hadoop
Lecture 8: Thank You
Instructors
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Bluelime Learning Solutions
Making Learning Simple
Rating Distribution
- 1 stars: 10 votes
- 2 stars: 15 votes
- 3 stars: 25 votes
- 4 stars: 27 votes
- 5 stars: 30 votes
Frequently Asked Questions
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