-
Hadoop In 5 Minutes | What Is Hadoop? | Introduction To Hadoop | Hadoop Explained |Simplilearn
🔥Professional Certificate Program in Data Engineering - https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=aReuLtY0YMI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Data Science (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-science?utm_campaign=aReuLtY0YMI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech Post Graduate Program in Data Science - https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=aReuLtY0YMI&utm_medium=DescriptionFirstFold&utm_source=Youtube
Hadoop is a famous Big Data framework; this video on Hadoop will acquaint you with the term Big Data and help you understand the importance of Hadoop. Here, you will also le...
published: 21 Jan 2021
-
What is Hadoop?
-For a deeper dive, check our our video comparing Hadoop to SQL http://www.youtube.com/watch?v=3Wmdy80QOvw&feature=c4-overview&list=UUrR22MmDd5-cKP2jTVKpBcQ
-Or see our video outlining critical Hadoop Scalability fundamentals
https://www.youtube.com/watch?v=h5vAj9FPl0I
Talk with a Specialist: https://www.intricity.com/intricity101/
www.intricity.com
published: 14 Jul 2012
-
Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane
Explore the full course on Udemy (special discount included in the link):
https://www.udemy.com/the-ultimate-hands-on-hadoop-tame-your-big-data/?couponCode=HADOOPUYT
Hadoop and its associated distributions from Hortonworks, Cloudera and MapR include a dizzying array of technologies. We will start talking about the origins and history of Hadoop, and then take a look at how all the different open-source systems that surround Hadoop clusters fit together. After this video, you will have a high level overview of the biggest systems in the world of Hadoop today and see how they interoperate.
Apache projects tend to have cryptic names, and we will decipher what they all really do. We will talk briefly about the core components of Hadoop: HDFS, YARN, and MapReduce. And then we will touch upon ...
published: 23 Mar 2018
-
What Is Hadoop? | Introduction To Hadoop | Hadoop Tutorial For Beginners | Simplilearn
🔥 Enroll for FREE Big Data Hadoop Spark Course & Get your Completion Certificate: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Hadoop&utm_medium=DescriptionFirstFold&utm_source=youtube
This Hadoop tutorial will help you understand what is Big Data, what is Hadoop, how Hadoop came into existence, what are the various components of Hadoop and an explanation on Hadoop use case. Below topics are explained in this Hadoop tutorial:
Below topics are explained in this Hadoop tutorial:
(02:30)The rise of Big Data
(06:31)What is Big Data?
(09:40)Big Data and its challenges
(11:17)Hadoop as a solution
(11:31)What is Hadoop?
(11:51)Components of Hadoop
(25:16)Use case of Hadoop
To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com...
published: 06 Feb 2019
-
What Is Hadoop | Hadoop Tutorial For Beginners | Introduction to Hadoop | Hadoop Training | Edureka
🔥 Edureka Hadoop Training: https://www.edureka.co/big-data-hadoop-training-certification
This Edureka "What is Hadoop" tutorial ( Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand how Big Data emerged as a problem and how Hadoop solved that problem. This tutorial will be discussing about Hadoop Architecture, HDFS & it's architecture, YARN and MapReduce in detail. Below are the topics covered in this tutorial:
1) 5 V’s of Big Data
2) Problems with Big Data
3) Hadoop-as-a solution
4) What is Hadoop?
5) HDFS
6) YARN
7) MapReduce
8) Hadoop Ecosystem
Subscribe to our channel to get video updates. Hit the subscribe button above.
Check our complete Hadoop playlist here: https://goo.gl/hzUO0m
--------------------Edureka Big Data Training and Certifications---------------------...
published: 26 Apr 2017
-
Hadoop vs Spark | Hadoop And Spark Difference | Hadoop And Spark Training | Simplilearn
🔥Free Hadoop Course: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Hadoop&utm_medium=Description&utm_source=youtube
Hadoop and Spark are the two most popular big data technologies used for solving significant big data challenges. In this video, you will learn which of them is faster based on performance. You will know how expensive they are and which among them is fault-tolerant. You will get an idea about how Hadoop and Spark process data, and how easy they are for usage. You will look at the different languages they support and what's their scalability. Finally, you will understand their security features, which of them has the edge over machine learning. Now, let's get started with learning Hadoop vs. Spark.
We will differentiate based on below categories...
published: 06 Dec 2019
-
How Hadoop Works
How Hadoop Works? (2018)
In this video you would learn, How Hadoop Works, the Architecture of Hadoop, Core Components of Hadoop, What is NameNode, DataNode, Secondary NameNode, JobTracker and TaskTracker.
In this session let us try to understand, how Hadoop works ?
The Hadoop framework comprises of the Hadoop Distributed File System and the MapReduce framework.
Let us try to understand, how the data is managed and processed by the Hadoop framework?
The Hadoop framework, divides the data into smaller chunks and stores each part of the data on a separate node within the cluster.
Let us say we have around 4 terabytes of data and a 4 node Hadoop cluster.
The HDFS would divide this data into 4 parts of 1 terabyte each.
By doing this, the time taken to store this data onto the disk is sig...
published: 08 Aug 2014
6:21
Hadoop In 5 Minutes | What Is Hadoop? | Introduction To Hadoop | Hadoop Explained |Simplilearn
🔥Professional Certificate Program in Data Engineering - https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=aReuLtY0YMI...
🔥Professional Certificate Program in Data Engineering - https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=aReuLtY0YMI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Data Science (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-science?utm_campaign=aReuLtY0YMI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech Post Graduate Program in Data Science - https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=aReuLtY0YMI&utm_medium=DescriptionFirstFold&utm_source=Youtube
Hadoop is a famous Big Data framework; this video on Hadoop will acquaint you with the term Big Data and help you understand the importance of Hadoop. Here, you will also learn about the three main components of Hadoop, namely, HDFS, MapReduce, and YARN. In the end, we will have a quiz on Hadoop. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let's get started and learn all about Hadoop.
Don't forget to take the quiz at 05:11!
Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ
#WhatIsHadoop #Hadoop #HadoopExplained #IntroductionToHadoop #HadoopTutorial #Simplilearn Big Data #SimplilearnHadoop #simplilearn
➡️ Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, masterclasses, IBM hackathons, and Ask Me Anything sessions.
✅ Key Features
- Professional Certificate Program Certificate and Alumni Association membership
- Exclusive Master Classes and Ask me Anything sessions by IBM
- 8X higher live interaction in live Data Engineering online classes by industry experts
- Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Skills Covered
- Real Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls
👉Learn More at: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=BigData-aReuLtY0YMI&utm_medium=Description&utm_source=youtube
https://wn.com/Hadoop_In_5_Minutes_|_What_Is_Hadoop_|_Introduction_To_Hadoop_|_Hadoop_Explained_|Simplilearn
🔥Professional Certificate Program in Data Engineering - https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=aReuLtY0YMI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Data Science (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-science?utm_campaign=aReuLtY0YMI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech Post Graduate Program in Data Science - https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=aReuLtY0YMI&utm_medium=DescriptionFirstFold&utm_source=Youtube
Hadoop is a famous Big Data framework; this video on Hadoop will acquaint you with the term Big Data and help you understand the importance of Hadoop. Here, you will also learn about the three main components of Hadoop, namely, HDFS, MapReduce, and YARN. In the end, we will have a quiz on Hadoop. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let's get started and learn all about Hadoop.
Don't forget to take the quiz at 05:11!
Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ
#WhatIsHadoop #Hadoop #HadoopExplained #IntroductionToHadoop #HadoopTutorial #Simplilearn Big Data #SimplilearnHadoop #simplilearn
➡️ Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, masterclasses, IBM hackathons, and Ask Me Anything sessions.
✅ Key Features
- Professional Certificate Program Certificate and Alumni Association membership
- Exclusive Master Classes and Ask me Anything sessions by IBM
- 8X higher live interaction in live Data Engineering online classes by industry experts
- Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Skills Covered
- Real Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls
👉Learn More at: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=BigData-aReuLtY0YMI&utm_medium=Description&utm_source=youtube
- published: 21 Jan 2021
- views: 1437873
3:07
What is Hadoop?
-For a deeper dive, check our our video comparing Hadoop to SQL http://www.youtube.com/watch?v=3Wmdy80QOvw&feature=c4-overview&list=UUrR22MmDd5-cKP2jTVKpBcQ
-Or...
-For a deeper dive, check our our video comparing Hadoop to SQL http://www.youtube.com/watch?v=3Wmdy80QOvw&feature=c4-overview&list=UUrR22MmDd5-cKP2jTVKpBcQ
-Or see our video outlining critical Hadoop Scalability fundamentals
https://www.youtube.com/watch?v=h5vAj9FPl0I
Talk with a Specialist: https://www.intricity.com/intricity101/
www.intricity.com
https://wn.com/What_Is_Hadoop
-For a deeper dive, check our our video comparing Hadoop to SQL http://www.youtube.com/watch?v=3Wmdy80QOvw&feature=c4-overview&list=UUrR22MmDd5-cKP2jTVKpBcQ
-Or see our video outlining critical Hadoop Scalability fundamentals
https://www.youtube.com/watch?v=h5vAj9FPl0I
Talk with a Specialist: https://www.intricity.com/intricity101/
www.intricity.com
- published: 14 Jul 2012
- views: 775848
25:10
Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane
Explore the full course on Udemy (special discount included in the link):
https://www.udemy.com/the-ultimate-hands-on-hadoop-tame-your-big-data/?couponCode=HADO...
Explore the full course on Udemy (special discount included in the link):
https://www.udemy.com/the-ultimate-hands-on-hadoop-tame-your-big-data/?couponCode=HADOOPUYT
Hadoop and its associated distributions from Hortonworks, Cloudera and MapR include a dizzying array of technologies. We will start talking about the origins and history of Hadoop, and then take a look at how all the different open-source systems that surround Hadoop clusters fit together. After this video, you will have a high level overview of the biggest systems in the world of Hadoop today and see how they interoperate.
Apache projects tend to have cryptic names, and we will decipher what they all really do. We will talk briefly about the core components of Hadoop: HDFS, YARN, and MapReduce. And then we will touch upon all the other systems built up around them, including Apache Spark, Hive, Pig, Ambari, Oozie, Zookeeper, Sqoop, Flume, Kafka, Mesos, HBase, Storm, Hue, Presto, Zeppelin, MySQL, Cassandra, MongoDB, Drill, and Phoenix.
My larger course covers each technology in more depth, but at the end of this video, these terms should at least make sense to you and you will be less confused when people talk about them all.
Course Description
The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this course, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems!
Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We'll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.
Install and work with a real Hadoop installation right on your desktop with Hortonworks and the Ambari UI
Manage big data on a cluster with HDFS and MapReduce
Write programs to analyze data on Hadoop with Pig and Spark
Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto
Design real-world systems using the Hadoop ecosystem
Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue
Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm
Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.
Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images.
This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop - it's not just theory.
You'll find a range of activities in this course for people at every level. If you're a project manager who just wants to learn the buzzwords, there are web UI's for many of the activities in the course that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, I'll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python.
You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end!
Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way.
I hope to see you in the course soon!
-Frank
Who is the target audience?
Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend "big data" at scale.
Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop.
Data analysts and database administrators who are curious about Hadoop and how it relates to their work.
System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.
Your instructor is Frank Kane, who spent nine years at Amazon.com and IMDb.com as a senior engineer and a senior manager. Frank job included extracting meaning from their massive data sets to recommend products to Amazons customers, and movies to IMDb users.
https://wn.com/Hadoop_Tutorial_For_Beginners_|_Hadoop_Ecosystem_Explained_In_20_Min_Frank_Kane
Explore the full course on Udemy (special discount included in the link):
https://www.udemy.com/the-ultimate-hands-on-hadoop-tame-your-big-data/?couponCode=HADOOPUYT
Hadoop and its associated distributions from Hortonworks, Cloudera and MapR include a dizzying array of technologies. We will start talking about the origins and history of Hadoop, and then take a look at how all the different open-source systems that surround Hadoop clusters fit together. After this video, you will have a high level overview of the biggest systems in the world of Hadoop today and see how they interoperate.
Apache projects tend to have cryptic names, and we will decipher what they all really do. We will talk briefly about the core components of Hadoop: HDFS, YARN, and MapReduce. And then we will touch upon all the other systems built up around them, including Apache Spark, Hive, Pig, Ambari, Oozie, Zookeeper, Sqoop, Flume, Kafka, Mesos, HBase, Storm, Hue, Presto, Zeppelin, MySQL, Cassandra, MongoDB, Drill, and Phoenix.
My larger course covers each technology in more depth, but at the end of this video, these terms should at least make sense to you and you will be less confused when people talk about them all.
Course Description
The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this course, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems!
Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We'll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.
Install and work with a real Hadoop installation right on your desktop with Hortonworks and the Ambari UI
Manage big data on a cluster with HDFS and MapReduce
Write programs to analyze data on Hadoop with Pig and Spark
Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto
Design real-world systems using the Hadoop ecosystem
Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue
Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm
Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.
Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images.
This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop - it's not just theory.
You'll find a range of activities in this course for people at every level. If you're a project manager who just wants to learn the buzzwords, there are web UI's for many of the activities in the course that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, I'll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python.
You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end!
Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way.
I hope to see you in the course soon!
-Frank
Who is the target audience?
Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend "big data" at scale.
Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop.
Data analysts and database administrators who are curious about Hadoop and how it relates to their work.
System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.
Your instructor is Frank Kane, who spent nine years at Amazon.com and IMDb.com as a senior engineer and a senior manager. Frank job included extracting meaning from their massive data sets to recommend products to Amazons customers, and movies to IMDb users.
- published: 23 Mar 2018
- views: 208496
30:05
What Is Hadoop? | Introduction To Hadoop | Hadoop Tutorial For Beginners | Simplilearn
🔥 Enroll for FREE Big Data Hadoop Spark Course & Get your Completion Certificate: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Ha...
🔥 Enroll for FREE Big Data Hadoop Spark Course & Get your Completion Certificate: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Hadoop&utm_medium=DescriptionFirstFold&utm_source=youtube
This Hadoop tutorial will help you understand what is Big Data, what is Hadoop, how Hadoop came into existence, what are the various components of Hadoop and an explanation on Hadoop use case. Below topics are explained in this Hadoop tutorial:
Below topics are explained in this Hadoop tutorial:
(02:30)The rise of Big Data
(06:31)What is Big Data?
(09:40)Big Data and its challenges
(11:17)Hadoop as a solution
(11:31)What is Hadoop?
(11:51)Components of Hadoop
(25:16)Use case of Hadoop
To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1
To access the slides, click here: https://www.slideshare.net/Simplilearn/what-is-hadoop-what-is-big-data-hadoop-introduction-to-hadoop-hadoop-tutorial-simplilearn/Simplilearn/what-is-hadoop-what-is-big-data-hadoop-introduction-to-hadoop-hadoop-tutorial-simplilearn
Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ
#Hadoop #WhatIsHadoop #BigData #Hadooptutorial #HadoopTutorialForBeginners #LearnHadoop #HadoopTraining #HadoopCertification #SimplilearnHadoop #Simplilearn
Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
Who should take up this Big Data and Hadoop Certification Training Course?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=What-is-Hadoop-iANBytZ26MI&utm_medium=Tutorials&utm_source=youtube
For more information about Simplilearn courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
https://wn.com/What_Is_Hadoop_|_Introduction_To_Hadoop_|_Hadoop_Tutorial_For_Beginners_|_Simplilearn
🔥 Enroll for FREE Big Data Hadoop Spark Course & Get your Completion Certificate: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Hadoop&utm_medium=DescriptionFirstFold&utm_source=youtube
This Hadoop tutorial will help you understand what is Big Data, what is Hadoop, how Hadoop came into existence, what are the various components of Hadoop and an explanation on Hadoop use case. Below topics are explained in this Hadoop tutorial:
Below topics are explained in this Hadoop tutorial:
(02:30)The rise of Big Data
(06:31)What is Big Data?
(09:40)Big Data and its challenges
(11:17)Hadoop as a solution
(11:31)What is Hadoop?
(11:51)Components of Hadoop
(25:16)Use case of Hadoop
To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1
To access the slides, click here: https://www.slideshare.net/Simplilearn/what-is-hadoop-what-is-big-data-hadoop-introduction-to-hadoop-hadoop-tutorial-simplilearn/Simplilearn/what-is-hadoop-what-is-big-data-hadoop-introduction-to-hadoop-hadoop-tutorial-simplilearn
Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ
#Hadoop #WhatIsHadoop #BigData #Hadooptutorial #HadoopTutorialForBeginners #LearnHadoop #HadoopTraining #HadoopCertification #SimplilearnHadoop #Simplilearn
Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
Who should take up this Big Data and Hadoop Certification Training Course?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists
Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=What-is-Hadoop-iANBytZ26MI&utm_medium=Tutorials&utm_source=youtube
For more information about Simplilearn courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
- published: 06 Feb 2019
- views: 153894
37:19
What Is Hadoop | Hadoop Tutorial For Beginners | Introduction to Hadoop | Hadoop Training | Edureka
🔥 Edureka Hadoop Training: https://www.edureka.co/big-data-hadoop-training-certification
This Edureka "What is Hadoop" tutorial ( Hadoop Blog series: https://go...
🔥 Edureka Hadoop Training: https://www.edureka.co/big-data-hadoop-training-certification
This Edureka "What is Hadoop" tutorial ( Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand how Big Data emerged as a problem and how Hadoop solved that problem. This tutorial will be discussing about Hadoop Architecture, HDFS & it's architecture, YARN and MapReduce in detail. Below are the topics covered in this tutorial:
1) 5 V’s of Big Data
2) Problems with Big Data
3) Hadoop-as-a solution
4) What is Hadoop?
5) HDFS
6) YARN
7) MapReduce
8) Hadoop Ecosystem
Subscribe to our channel to get video updates. Hit the subscribe button above.
Check our complete Hadoop playlist here: https://goo.gl/hzUO0m
--------------------Edureka Big Data Training and Certifications------------------------
🔵 Edureka Hadoop Training: http://bit.ly/2YBlw29
🔵 Edureka Spark Training: http://bit.ly/2PeHvc9
🔵 Edureka Kafka Training: http://bit.ly/34e7Riy
🔵 Edureka Cassandra Training: http://bit.ly/2E9AK54
🔵 Edureka Talend Training: http://bit.ly/2YzYIjg
🔵 Edureka Hadoop Administration Training: http://bit.ly/2YE8Nf9
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
- - - - - - - - - - - - - -
How it Works?
1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:
1. Master the concepts of HDFS and MapReduce framework
2. Understand Hadoop 2.x Architecture
3. Setup Hadoop Cluster and write Complex MapReduce programs
4. Learn data loading techniques using Sqoop and Flume
5. Perform data analytics using Pig, Hive and YARN
6. Implement HBase and MapReduce integration
7. Implement Advanced Usage and Indexing
8. Schedule jobs using Oozie
9. Implement best practices for Hadoop development
10. Work on a real life Project on Big Data Analytics
11. Understand Spark and its Ecosystem
12. Learn how to work in RDD in Spark
- - - - - - - - - - - - - -
Who should go for this course?
If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:
1. Analytics professionals
2. BI /ETL/DW professionals
3. Project managers
4. Testing professionals
5. Mainframe professionals
6. Software developers and architects
7. Recent graduates passionate about building successful career in Big Data
- - - - - - - - - - - - - -
Why Learn Hadoop?
Big Data! A Worldwide Problem?
According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!
The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.
- - - - - - - - - - - - - -
Opportunities for Hadoopers!
Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself!
For more information, Please write back to us at
[email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Customer Review:
Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”
https://wn.com/What_Is_Hadoop_|_Hadoop_Tutorial_For_Beginners_|_Introduction_To_Hadoop_|_Hadoop_Training_|_Edureka
🔥 Edureka Hadoop Training: https://www.edureka.co/big-data-hadoop-training-certification
This Edureka "What is Hadoop" tutorial ( Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand how Big Data emerged as a problem and how Hadoop solved that problem. This tutorial will be discussing about Hadoop Architecture, HDFS & it's architecture, YARN and MapReduce in detail. Below are the topics covered in this tutorial:
1) 5 V’s of Big Data
2) Problems with Big Data
3) Hadoop-as-a solution
4) What is Hadoop?
5) HDFS
6) YARN
7) MapReduce
8) Hadoop Ecosystem
Subscribe to our channel to get video updates. Hit the subscribe button above.
Check our complete Hadoop playlist here: https://goo.gl/hzUO0m
--------------------Edureka Big Data Training and Certifications------------------------
🔵 Edureka Hadoop Training: http://bit.ly/2YBlw29
🔵 Edureka Spark Training: http://bit.ly/2PeHvc9
🔵 Edureka Kafka Training: http://bit.ly/34e7Riy
🔵 Edureka Cassandra Training: http://bit.ly/2E9AK54
🔵 Edureka Talend Training: http://bit.ly/2YzYIjg
🔵 Edureka Hadoop Administration Training: http://bit.ly/2YE8Nf9
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
- - - - - - - - - - - - - -
How it Works?
1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:
1. Master the concepts of HDFS and MapReduce framework
2. Understand Hadoop 2.x Architecture
3. Setup Hadoop Cluster and write Complex MapReduce programs
4. Learn data loading techniques using Sqoop and Flume
5. Perform data analytics using Pig, Hive and YARN
6. Implement HBase and MapReduce integration
7. Implement Advanced Usage and Indexing
8. Schedule jobs using Oozie
9. Implement best practices for Hadoop development
10. Work on a real life Project on Big Data Analytics
11. Understand Spark and its Ecosystem
12. Learn how to work in RDD in Spark
- - - - - - - - - - - - - -
Who should go for this course?
If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:
1. Analytics professionals
2. BI /ETL/DW professionals
3. Project managers
4. Testing professionals
5. Mainframe professionals
6. Software developers and architects
7. Recent graduates passionate about building successful career in Big Data
- - - - - - - - - - - - - -
Why Learn Hadoop?
Big Data! A Worldwide Problem?
According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!
The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.
- - - - - - - - - - - - - -
Opportunities for Hadoopers!
Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself!
For more information, Please write back to us at
[email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Customer Review:
Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”
- published: 26 Apr 2017
- views: 149110
10:01
Hadoop vs Spark | Hadoop And Spark Difference | Hadoop And Spark Training | Simplilearn
🔥Free Hadoop Course: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Hadoop&utm_medium=Description&utm_source=youtube
Hadoop and Spar...
🔥Free Hadoop Course: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Hadoop&utm_medium=Description&utm_source=youtube
Hadoop and Spark are the two most popular big data technologies used for solving significant big data challenges. In this video, you will learn which of them is faster based on performance. You will know how expensive they are and which among them is fault-tolerant. You will get an idea about how Hadoop and Spark process data, and how easy they are for usage. You will look at the different languages they support and what's their scalability. Finally, you will understand their security features, which of them has the edge over machine learning. Now, let's get started with learning Hadoop vs. Spark.
We will differentiate based on below categories
1. Performance 00:52
2. Cost 01:40
3. Fault Tolerance 02:31
4. Data Processing 03:06
5. Ease of Use 04:03
6. Language Support 04:52
7. Scalability 05:55
8. Security 06:38
9. Machine Learning 08:02
10. Scheduler 08:56
To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1
To access the slides, click here: https://www.slideshare.net/Simplilearn/hadoop-vs-spark-hadoop-and-spark-difference-hadoop-and-spark-training-simplilearn/Simplilearn/hadoop-vs-spark-hadoop-and-spark-difference-hadoop-and-spark-training-simplilearn
Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ
#HadoopvsSpark #HadoopAndSpark #HadoopAndSparkDifference #DifferenceBetweenHadoopAndSpark #WhatIsHadoop #WhatIsSpark #LearnHadoop #HadoopTraining #SparkTraining #HadoopCertification #SimplilearnHadoop #Simplilearn
Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
Who should take up this Big Data and Hadoop Certification Training Course?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists
Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Hadoop-vs-Spark-2PVzOHA3ktE&utm_medium=Tutorials&utm_source=youtube
For more information about Simplilearn courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
https://wn.com/Hadoop_Vs_Spark_|_Hadoop_And_Spark_Difference_|_Hadoop_And_Spark_Training_|_Simplilearn
🔥Free Hadoop Course: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Hadoop&utm_medium=Description&utm_source=youtube
Hadoop and Spark are the two most popular big data technologies used for solving significant big data challenges. In this video, you will learn which of them is faster based on performance. You will know how expensive they are and which among them is fault-tolerant. You will get an idea about how Hadoop and Spark process data, and how easy they are for usage. You will look at the different languages they support and what's their scalability. Finally, you will understand their security features, which of them has the edge over machine learning. Now, let's get started with learning Hadoop vs. Spark.
We will differentiate based on below categories
1. Performance 00:52
2. Cost 01:40
3. Fault Tolerance 02:31
4. Data Processing 03:06
5. Ease of Use 04:03
6. Language Support 04:52
7. Scalability 05:55
8. Security 06:38
9. Machine Learning 08:02
10. Scheduler 08:56
To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1
To access the slides, click here: https://www.slideshare.net/Simplilearn/hadoop-vs-spark-hadoop-and-spark-difference-hadoop-and-spark-training-simplilearn/Simplilearn/hadoop-vs-spark-hadoop-and-spark-difference-hadoop-and-spark-training-simplilearn
Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ
#HadoopvsSpark #HadoopAndSpark #HadoopAndSparkDifference #DifferenceBetweenHadoopAndSpark #WhatIsHadoop #WhatIsSpark #LearnHadoop #HadoopTraining #SparkTraining #HadoopCertification #SimplilearnHadoop #Simplilearn
Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
Who should take up this Big Data and Hadoop Certification Training Course?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists
Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Hadoop-vs-Spark-2PVzOHA3ktE&utm_medium=Tutorials&utm_source=youtube
For more information about Simplilearn courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
- published: 06 Dec 2019
- views: 31983
3:42
How Hadoop Works
How Hadoop Works? (2018)
In this video you would learn, How Hadoop Works, the Architecture of Hadoop, Core Components of Hadoop, What is NameNode, DataNode, Se...
How Hadoop Works? (2018)
In this video you would learn, How Hadoop Works, the Architecture of Hadoop, Core Components of Hadoop, What is NameNode, DataNode, Secondary NameNode, JobTracker and TaskTracker.
In this session let us try to understand, how Hadoop works ?
The Hadoop framework comprises of the Hadoop Distributed File System and the MapReduce framework.
Let us try to understand, how the data is managed and processed by the Hadoop framework?
The Hadoop framework, divides the data into smaller chunks and stores each part of the data on a separate node within the cluster.
Let us say we have around 4 terabytes of data and a 4 node Hadoop cluster.
The HDFS would divide this data into 4 parts of 1 terabyte each.
By doing this, the time taken to store this data onto the disk is significantly reduced.
The total time taken to store this entire data onto the disk is equal to storing 1 part of the data, as it will store all the parts of the data simultaneously on different machines.
In order to provide high availability what Hadoop does is, it would replicate each part of the data onto other machines that are present within the cluster.
The number of copies it will replicate depends on the "Replication Factor".
By default the replication factor is set to 3.
If we consider, the default replication factor is set, then there will be 3 copies for each part of the data on 3 different machines.
In order to reduce the bandwidth and latency time, it would store 2 copies of the same part of the data, on the nodes that are present within the same rack, and the last copy would be stored on a node, that is present on a different rack.
Let's say Node 1 and Node 2 are on Rack 1 and Node 3 & Node 4 are on Rack 2.
Then the 1st 2 copies of part 1 will be stored, on Node 1 and Node 2, and the 3rd copy of part 1, will be stored, either on Node 3 or Node 4.
The similar process is followed, for storing remaining parts of the data.
Since this data is distributed across the cluster, the HDFS takes care of networking required by these nodes to communicate.
Another advantage of distributing this data across the cluster is that, while processing this data, it reduces lot of time, as this data can be processed simultaneously.
This was an overview of, how Hadoop works, we would learning, how data is written, or read from the Hadoop cluster, in the later sessions.
Enroll into this course at a deep discounted price: https://goo.gl/HsbEC8
Please don't forget to subscribe to our channel.
https://www.youtube.com/user/itskillsindemand
If like this video, please like and share it.
Visit http://www.itskillsindemand.com to access the complete course.
Follow Us On
Facebook: https://www.facebook.com/itskillsindemand
Twitter: https://twitter.com/itskillsdemand
Google+: https://plus.google.com/+Itskillsindemand-com
YouTube: http://www.youtube.com/user/itskillsindemand
https://wn.com/How_Hadoop_Works
How Hadoop Works? (2018)
In this video you would learn, How Hadoop Works, the Architecture of Hadoop, Core Components of Hadoop, What is NameNode, DataNode, Secondary NameNode, JobTracker and TaskTracker.
In this session let us try to understand, how Hadoop works ?
The Hadoop framework comprises of the Hadoop Distributed File System and the MapReduce framework.
Let us try to understand, how the data is managed and processed by the Hadoop framework?
The Hadoop framework, divides the data into smaller chunks and stores each part of the data on a separate node within the cluster.
Let us say we have around 4 terabytes of data and a 4 node Hadoop cluster.
The HDFS would divide this data into 4 parts of 1 terabyte each.
By doing this, the time taken to store this data onto the disk is significantly reduced.
The total time taken to store this entire data onto the disk is equal to storing 1 part of the data, as it will store all the parts of the data simultaneously on different machines.
In order to provide high availability what Hadoop does is, it would replicate each part of the data onto other machines that are present within the cluster.
The number of copies it will replicate depends on the "Replication Factor".
By default the replication factor is set to 3.
If we consider, the default replication factor is set, then there will be 3 copies for each part of the data on 3 different machines.
In order to reduce the bandwidth and latency time, it would store 2 copies of the same part of the data, on the nodes that are present within the same rack, and the last copy would be stored on a node, that is present on a different rack.
Let's say Node 1 and Node 2 are on Rack 1 and Node 3 & Node 4 are on Rack 2.
Then the 1st 2 copies of part 1 will be stored, on Node 1 and Node 2, and the 3rd copy of part 1, will be stored, either on Node 3 or Node 4.
The similar process is followed, for storing remaining parts of the data.
Since this data is distributed across the cluster, the HDFS takes care of networking required by these nodes to communicate.
Another advantage of distributing this data across the cluster is that, while processing this data, it reduces lot of time, as this data can be processed simultaneously.
This was an overview of, how Hadoop works, we would learning, how data is written, or read from the Hadoop cluster, in the later sessions.
Enroll into this course at a deep discounted price: https://goo.gl/HsbEC8
Please don't forget to subscribe to our channel.
https://www.youtube.com/user/itskillsindemand
If like this video, please like and share it.
Visit http://www.itskillsindemand.com to access the complete course.
Follow Us On
Facebook: https://www.facebook.com/itskillsindemand
Twitter: https://twitter.com/itskillsdemand
Google+: https://plus.google.com/+Itskillsindemand-com
YouTube: http://www.youtube.com/user/itskillsindemand
- published: 08 Aug 2014
- views: 88758