Big Data Reviews

  • Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hadoop Training | Edureka

    🔥 Flat 20% Off (Use Code: YOUTUBE20) Edureka Hadoop Training: https://www.edureka.co/big-data-hadoop-training-certification
    This Edureka Big Data tutorial ( Big Data Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this tutorial:

    1) Evolution of Data
    2) What is Big Data?
    3) Big Data as an Opportunity
    4) Problems in Encasing Big Data Opportunity
    5) Hadoop as a Solution
    6) Hadoop Ecosystem
    7) Edureka Big Data & Hadoop Training

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    --------------------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

    #edureka #edurekaBigData #BigData #BigDataTutorial #BigDataTraining

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    Check our complete Hadoop playlist here: https://goo.gl/hzUO0m
    - - - - - - - - - - - - - -

    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!

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    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

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    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

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    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."

    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 sales@edureka.in 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.”
    922039 Views
  • What is Big Data? (2019)

    What is Big Data (2018)? (In 5 mins)

    Big Data basically refers to, huge volume of data that cannot be, stored and processed using the traditional approach within the given time frame.

    The next big question that comes to our mind is?
    How huge this data needs to be? In order to be classified as Big Data?
    There is a lot of misconception, while referring the term Big Data.
    We usually use the term big data, to refer to the data, that is, either in gigabytes or terabytes or petabytes or exabytes or anything that is larger than this in size.
    This does not defines the term Big Data completely.
    Even a small amount of data can be referred to as Big Data depending on the context it is used.

    Let me take an example and try to explain it to you.
    For instance if we try to attach a document that is of 100 megabytes in size to an email we would not be able to do so.
    As the email system would not support an attachment of this size.
    Therefore this 100 megabytes of attachment with respect to email can be referred to as Big Data.

    Let me take another example and try to explain the term Big Data.
    Let us say we have around 10 terabytes of image files, upon which certain processing needs to be done.
    For instance we may want to resize and enhance these images within a given time frame.
    Suppose if we make use of the traditional system to perform this task.
    We would not be able to accomplish this task within the given time frame.
    As the computing resources of the traditional system would not be sufficient to accomplish this task on time.
    Therefore this 10 terabytes of image files can be referred to as Big Data.

    Now let us try to understand Big Data using some real world examples.
    I believe you all might be aware of some the popular social networking sites, such as Facebook, Twitter, LinkedIn, Google Plus and YouTube.
    Each of this site, receives huge volume of data on a daily basis.
    It has been reported on some of the popular tech blogs that.
    Facebook alone receives around 100 terabytes of data each day.
    Whereas Twitter processes around 400 million tweets each day.
    As far as LinkedIn and Google Plus are concerned each of the site receives tens of terabytes of data on a daily basis.
    And finally coming to YouTube, it has been reported that, each minute around 48 hours of fresh videos are uploaded to YouTube.
    You can just imagine, how much volume of data is being stored and processed on these sites.
    But as the number of users keep growing on these sites, storing and processing this data becomes a challenging task.
    Since this data holds a lot of valuable information, this data needs to be processed in a short span of time.
    By using this valuable information, companies can boost their sales and generate more revenue.
    By making using of the traditional computing system, we would not be able to accomplish this task within the given time frame, as the computing resources of the traditional system would not be sufficient for processing and storing, such a huge volume of data.
    This is where Hadoop comes into picture, we would be discussing Hadoop in more detail in the later sessions.
    Therefore we can term this huge volume of data as Big Data.

    Let me take another real world example related to the airline industry and try to explain the term Big Data.
    For instance the aircrafts, while they are flying keep transmitting data to the air traffic control located at the airports.
    The air traffic control uses this data to track and monitor the status and progress of the flight on a real time basis.
    Since multiple aircrafts would be transmitting this data simultaneously to the air traffic control.
    A huge volume of data gets accumulated at the air traffic control within a short span of time.
    Therefore it becomes a challenging task to manage and process this huge volume of data using the traditional approach.
    Hence we can term this huge volume of data as Big Data.

    I hope you all might have understood, "What is Big Data".

    Big Data and Hadoop for Absolute Beginners:
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  • What is Big Data? Introduction to Big Data | Big Data on Hadoop [Part 1] | Tutorial | Great Learning

    #BigData | What is Big Data Hadoop? How does it helps in processing and analyzing Big Data? In this course, you will learn the basic concepts in Big Data Analytics, what are the skills required for it, how Hadoop helps in solving the problems associated with the traditional system and more.

    About the Speaker: Raghu Raman A V
    Raghu is a Big Data and AWS expert with over a decade of training and consulting experience in AWS, Apache Hadoop Ecosystem including Apache Spark.

    He has worked with global customers like IBM, Capgemini, HCL, Wipro to name a few as well as Bay Area startups in the US.

    #BigData #BigDataHadoop #GreatLakes #GreatLearning
    About Great Learning:
    - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.

    - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM

    - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U

    - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670

    - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU

    - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1

    - Learn More at: https://www.greatlearning.in/

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

    🔥 Edureka Big Data Architect Master Program: https://www.edureka.co/masters-program/big-data-architect-training
    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:
    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 Use-Case
    24:38 Big Data Analytics & Use-Case
    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 Master-Slave 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 E-Commerce 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

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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 sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
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  • Big Data Tutorial For Beginners | Big Data Full Course | Learn Big Data Step By Step | Simplilearn

    In this full course video on Big data, you will learn about Big data, Hadoop, and Spark. First, we will look into a big data tutorial, the challenges in big data, and how Hadoop solves these challenges. You will learn how to install Hadoop, then understand the various components of Hadoop that are HDFS, MapReduce, and YARN. HDFS will teach you how to store big data, and MapReduce will show you how to process this big data. In YARN, you will learn how cluster resource management works. In addition to these components, you will also look into the Hadoop ecosystem, which consists of Hive, Pig, Sqoop, and HBase. You will learn to use these tools both through theory and demos. After this, you will see how Big data is used practically across different sectors. You will also have a quick overview of Apache Spark and its installation on both Windows and Ubuntu. Finally, you will see how to become a big data engineer and also look into the important Hadoop interview questions. Now, let's get started and learn Big data.

    Below topics are explained in this Big Data full course video:1.Evolution of Big Data - 00:58
    2.Why Big Data? - 05:38
    3.What is Big Data? - 10:18
    4.5 V's of Big Data - 11:48
    5.Challenges of Big Data - 24:18
    6.Hadoop as a Solution - 27:58
    7.Cloudera Hadoop Installation - 30:28
    8.Hadoop Ecosystem - 58:39
    9.Hadoop Distributed File System - 1:07:00
    10.MapReduce Analogy - 1:46:40
    11.What is MApReduce? - 1:48:40
    12.Parallel Processing-MapReduce - 1:54:20
    13.MapReduce Workflow - 1:54:50
    14.MapReduce Architecture - 2:01:50
    15.Hadoop 1.0(MR 1) - 2:29:50
    16.Limitations of Hadoop 1.0(MR 1) - 2:34:30
    17.Need for YARN - 2:36:40
    18.What is YARN? - 2:39:30
    19.YARN Components - 2:41:30
    20.YARN Components-Node MAnager -2:49:40
    21.What is Sqoop? - 3:35:31
    22.Sqoop Features - 3:36:01
    23.Sqoop Architecture - 3:37:10
    24.What is Apache Spark? - 5:53:02
    25.History of Apache Spark - 5:53:32
    26.Apache Spark Installation on Windows - 6:30:52
    27.Apache Spark Installation on ubuntu - 7:01:42
    28.YARN - 8:10:48

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

    Download the Big Data career guide to explore and step into the exciting world of Big Data, and follow the path towards your dream career: https://www.simplilearn.com/big-data-career-guide-pdf?utm_campaign=BigData-Full-Course-KcecJfxbd-4&utm_medium=Tutorials&utm_source=youtube

    Watch more videos on Big Data Training: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ

    #BigData #BigDataAnalytics #BigDataTutorial #BigDataFullCourse #BigDataAnalyticsForBeginners #BigDataTutorial #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

    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

    Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=BigData-Full-Course-KcecJfxbd-4&utm_medium=Tutorials&utm_source=youtube

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  • Big Data In 5 Minutes | What Is Big Data?| Introduction To Big Data |Big Data Explained |Simplilearn

    Don't forget to take the quiz at 04:03!
    Comment below what you think is the right answer, to be one of the 3 lucky winners who can win Amazon vouchers worth INR 500 or $10! (Depending on your location). What are you waiting for? Winners will be announced on Dec 18th, 2019.

    This video will help you understand what Big Data is, the 5V's of Big Data, why Hadoop came into existence, and what Hadoop is. You will also learn about the storage unit and processing unit of Hadoop, and the implementation of Big Data through use cases. In the end, we will have a quiz on Hadoop. Massive amount of data that cannot be stored, processed, and analyzed using the traditional ways is known as Big Data. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, lets deep dive into this video and understand Big Data and Hadoop.

    Download the Big Data career guide to explore and step into the exciting world of Big Data, and follow the path towards your dream career: https://www.simplilearn.com/big-data-career-guide-pdf?utm_campaign=Big-Data-bAyrObl7TYE&utm_medium=Tutorials&utm_source=youtube

    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=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ

    #WhatIsBigData #WhatIsHadoop #BigDataExplained #HadoopExplained #HadoopTraining #BigDataTraining #BigDataTutorial #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 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
    11. Understand resilient distribution datasets (RDD) in detail
    12. Implement and build Spark applications
    13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
    14. Understand the common use-cases 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 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=Big-Data-bAyrObl7TYE&utm_medium=Tutorials&utm_source=youtube

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    32417 Views
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