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Hadoop In 5 Minutes | What Is Hadoop? | Introduction To Hadoop | Hadoop Explained |Simplilearn


🔥Free Big Data Hadoop and Spark Developer course: https://www.simplilearn.com/learnhadoopsparkbasicsskillup?utm_campaign=SkillupBigData&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!

To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1kg5W1mo37urJQOdCZ

WhatIsHadoop Hadoop HadoopExplained IntroductionToHadoop HadoopTutorial Simplilearn Big Data 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 ecommerce 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 indepth knowledge of Big Data processing using Hadoop and Spark. The course is packed with reallife 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
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an indepth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common usecases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames

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 mustknow 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/bigdataandanalytics/bigdataandhadooptraining?utm_campaign=Hadoop&utm_medium=Description&utm_source=youtube

For more information about Simplilearn courses, visit:
Facebook: https://www.facebook.com/Simplilearn
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Website: https://www.simplilearn.com

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Hadoop In 5 Minutes | What Is Hadoop? | Introduction To Hadoop | Hadoop Explained |Simplilearn

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/theultimatehandsonhadooptameyourbigdata/?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 opensource 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 handson 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 realworld 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.

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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 handson 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 realworld 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 highlevel 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.

Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min!  Frank Kane

Big Data & Hadoop Full Course Learn Hadoop In 10 Hours | Hadoop Tutorial For Beginners | Edureka


🔥 Edureka Big Data Architect Master Program (Use Code “𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎”): https://www.edureka.co/mastersprogram/bigdataarchitecttraining
This Edureka Big Data & Hadoop Full Course video will help you understand and learn Hadoop concepts in detail. This Big Data & Hadoop Tutorial is ideal for both beginners as well as professionals who want to master the Hadoop Ecosystem. Below are the topics covered in this Big Data & Hadoop Tutorial for Beginners video:
00:00 Agenda
2:37 Introduction to Big Data
8:22 What is Big Data?
9:32 5 V’s of Big Data
15:02 Big Data as an Opportunity
18:27 IBM Big Data Analytics UseCase
24:38 Big Data Analytics & UseCase
32:43 What is Big Data Analytics?
33:28 Stages of Big Data Analytics
34:33 Types of Big Data Analytics
39:53 Big Data Analytics in Different Domains
46:38 Problems with Big Data: Restaurant Analogy
54:53 Apache Hadoop
56:18 Hadoop MasterSlave Architecture
1:00:38 HDFS
1:01:03 NameNode & DataNode
1:02:33 Secondary Namenode & Checkpointing
1:06:18 HDFS Data Blocks
1:11:18 HDFS Replication
1:12:48 HDFS Read/Write Mechanism
1:20:43 MapReduce
1:24:33 What is MapReduce?
1:25:43 MapReduce Word Count Program
1:42:13 YARN
1:43:38 MapReduce Job Workflow
1:47:28 YARN Architecture
1:48:33 Hadoop Architecture
1:49:38 Hadoop Ecosystem
1:50:53 Hadoop Cluster Mode
1:52:33 Hadoop Ecosystem
1:55:38 Hadoop Installation
2:08:03 MapReduce Examples
2:08:08 Weather Data Set Analysis
2:16:23 MapReduce Last.FM Example
2:24:13 Apache Sqoop Tutorial
2:26:03 What is Sqoop?
2:27:33 Features of Sqoop
2:28:43 Sqoop Architecture
2:30:48 Import Sqoop Command
2:38:23 Export Sqoop Command
2:40:03 List Database Command
2:42:28 Apache Flume Tutorial
2:45:18 Flume Architecture
2:46:58 Flume Twitter Streaming
2:52:23 Apache Pig Tutorial
2:55:18 Pig vs MapReduce
2:58:23 Twitter Case Study
3:04:48 Pig Architecture
3:05:48 Pig Components
3:09:38 Pig Data Models
3:14:33 Pig Commands
3:27:33 Apache Hive Tutorial
3:40:43 What is Hive?
3:43:23 PigLatin Vs HiveQL
3:47:09 Hive Architecture
3:50:19 Hive Components
3:51:24 Metastore
3:55:44 Hive Commands
3:56:44 Hive Setup
4:01:04 Type Systems
4:02:54 Hive Data Models
4:46:54 Hive Partitioning
4:56:44 Bucketing in Hive
5:44:19 External Table
5:48:49 Apache HBase Tutorial
6:13:05 Types of NoSQL Databases
6:21:36 History if HBase
6:23:06 HBase vs RDBMS
6:27:56 Uses of HBase
6:31:46 Companies Using HBase
6:41:03 HBase Operation
6:51:28 HBase Shell
7:16:38 Single Map
7:17:23 Multidimensional Map
7:18:03 Multidimensional Columns
7:20:33 Row vs Column Oriented Databases
7:22:33 HBase Data Models
7:25:03 HBase Physical Storage
7:28:43 HBase Architecture
7:30:48 HBase Components
7:31:04 HBase Read Write Mechanism
7:40:49 Compaction in HBase
7:41:49 HBase Shell
7:42:09 HBase Client API
7:42:24 Hadoop ECommerce Projects
7:58:24 Distributed Cache
8:00:14 Code Sections
8:17:44 How to Become a Big Data Engineer?
8:18:24 Who is a Big Data Engineer?
8:19:14 Big Data Engineer Responsibilities
8:24:49 Big Data Engineer Skills
8:32:44 Big Data Engineer Learning Path
8:36:19 Big Data & Hadoop Interview Questions

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

PG in Big Data Engineering with NIT Rourkela : https://www.edureka.co/postgraduate/bigdataengineering (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (tollfree).

Big Data & Hadoop Full Course  Learn Hadoop In 10 Hours | Hadoop Tutorial For Beginners | Edureka

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/learnhadoopsparkbasicsskillup?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

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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/whatishadoopwhatisbigdatahadoopintroductiontohadoophadooptutorialsimplilearn/Simplilearn/whatishadoopwhatisbigdatahadoopintroductiontohadoophadooptutorialsimplilearn

Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1kg5W1mo37urJQOdCZ

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 ecommerce 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 indepth knowledge of Big Data processing using Hadoop and Spark. The course is packed with reallife 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 mustknow 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/bigdataandanalytics/bigdataandhadooptraining?utm_campaign=WhatisHadoopiANBytZ26MI&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

What Is Hadoop? | Introduction To Hadoop | Hadoop Tutorial For Beginners | Simplilearn

What is Hadoop?


For a deeper dive, check our our video comparing Hadoop to SQL http://www.youtube.com/watch?v=3Wmdy80QOvw&feature=c4overview&list=UUrR22MmDd5cKP2jTVKpBcQ
Or see our video outlining critical Hadoop Scalability fundamentals

Talk with a Specialist: https://www.intricity.com/intricity101/

www.intricity.com

What is Hadoop?

What Is Hadoop | Hadoop Tutorial For Beginners | Introduction to Hadoop | Hadoop Training | Edureka


🔥 Edureka Hadoop Training: https://www.edureka.co/bigdatahadooptrainingcertification
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) Hadoopasa 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 24×7 OneonOne 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 2hour 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 onhand 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 everincreasing 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!

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For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (tollfree).

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.”

What Is Hadoop | Hadoop Tutorial For Beginners | Introduction to Hadoop | Hadoop Training | Edureka

Hadoop vs Spark | Hadoop And Spark Difference | Hadoop And Spark Training | Simplilearn


🔥 Enroll for FREE Big Data Hadoop Spark Course & Get your Completion Certificate: https://www.simplilearn.com/learnhadoopsparkbasicsskillup?utm_campaign=Hadoop&utm_medium=DescriptionFirstFold&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 faulttolerant. 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/hadoopvssparkhadoopandsparkdifferencehadoopandsparktrainingsimplilearn/Simplilearn/hadoopvssparkhadoopandsparkdifferencehadoopandsparktrainingsimplilearn

Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1kg5W1mo37urJQOdCZ

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 ecommerce 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 indepth knowledge of Big Data processing using Hadoop and Spark. The course is packed with reallife 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 mustknow 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/bigdataandanalytics/bigdataandhadooptraining?utm_campaign=HadoopvsSpark2PVzOHA3ktE&utm_medium=Tutorials&utm_source=youtube

For more information about Simplilearn courses, visit:
Facebook: https://www.facebook.com/Simplilearn
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Hadoop vs Spark | Hadoop And Spark Difference | Hadoop And Spark Training | Simplilearn

Apache Hadoop & Big Data 101: The Basics


This video will walk beginners through the basics of Hadoop – from the early stages of the clientserver model through to the current Hadoop ecosystem.

Apache Hadoop & Big Data 101: The Basics

Лекция 4, Виктор Бородаенко, Основы Hadoop, современные подходы к обработке Big data


Лекция 4, Виктор Бородаенко, Основы Hadoop, современные подходы к обработке Big data

Hadoop. Введение в Big Data и MapReduce


Техносфера Mail.ru Group, МГУ им. М.В. Ломоносова.
Курс “Методы распределенной обработки больших объемов данных в Hadoop”
Лекция №1 “Введение в Big Data и MapReduce”
Лектор Алексей Романенко.

Что такое «большие данные». История возникновения этого явления­. Необходимые знания и навыки для работы с большими данными. Что такое Hadoop, и где он применяется. Что такое «облачные вычисления», история возникновения и развития технологии. Web 2.0. Вычисление как услуга (utility computing). Виртуализация. Инфраструктура как сервис (IaaS). Вопросы параллелизма. Управление множеством воркеров. Датацентры и масштабируемость. Типичные задачи Big Data. MapReduce: что это такое, примеры. Распределённая файловая система. Google File System. HDFS как клон GFS, его архитектура.

Слайды лекции http://www.slideshare.net/Technopark/lecture0148215730

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Hadoop. Введение в Big Data и MapReduce .

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35 thoughts on “Hadoop In 5 Minutes | What Is Hadoop? | Introduction To Hadoop | Hadoop Explained |Simplilearn | hadoop | | Kiến thức học thiết kế hữu ích nhất”

  1. wow, this is first time learning about Big Data and how Hadoop works. thank you so much for the explanation. quite excited to give it a try.
    the answer is C: Ensure Fault tolerance. like High Availability in Cloud services terms.

    Reply
  2. I have been working on the Mapr environment but I didn’t got clarity on clusters until I watched this video.. Thanks Keep doing the tutorials on this Hadoop!

    Reply

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