Big Data Reviews

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

    ** Flat 20% Off (Use Code: YOUTUBE20) Hadoop Training: https://www.edureka.co/hadoop **
    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

    Subscribe to our channel to get video updates. Hit the subscribe button above.

    #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!

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

    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 sales@edureka.co 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.”
    874520 Views
  • Big Data Analytics for beginners

    Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today's technology, it's possible to analyze your data and get answers from it almost immediately – an effort that's slower and less efficient with more traditional business intelligence solutions.
    94399 Views
  • Big Data as Fast As Possible

    Your data is being collected by corporations and governments, but is "big data" inherently bad??

    Sponsor message: Cooler Master is a leader in PC cooling products. Check them out here: http://us.coolermaster.com/product/Lines/hyper-series.html

    Lifehacker article: http://lifehacker.com/what-is-big-data-and-whos-collecting-it-1595798695
    282679 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:
    Click to enroll at a deep discounted price https://goo.gl/HsbEC8

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    332427 Views
  • Big Data vs Data Science vs Data Analytics | Demystifying The Difference | Edureka

    ** Hadoop Training: https://www.edureka.co/hadoop **
    This Edureka video on "Data Science vs Big Data vs Data Analytics" will explain you the similarities and differences between them. Also, you will get a complete insight of the skills required to become a Data Scientist, Big Data Professional, and Data Analyst.
    Below topics are covered in this video:

    1. What is Data Science, Big Data, Data Analytics?
    2. Roles and Responsibilities of Data Scientist, Big Data Professional and Data Analyst
    3. Required Skill set.
    4. Understanding how data science, big data, and data analytics is used to drive the success of Netflix.

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

    Do subscribe to our channel and hit the bell icon to never miss an update from us in the future.

    -----------------------------------------------------------------
    How does it work?


    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 a 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! Please write back to us at sales@edureka.co or call us at +91 88808 62004 for more information.

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

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

    For Hadoop Training and Certification, Call us at US: +18336900808 (Toll-Free) or India: +918861301699 Or, write back to us at sales@edureka.co

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    8581 Views
  • 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

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    431 Views
  • Big Data Visualization - Data Lit #3

    There are so many different ways to visualize data! We're going to learn about the major types of visualizations (relationships, correlations, comparisons) as well as discuss some of the many powerful visualization tools that are available to us. Google Charts, Tableau, there are a lot! We'll break down the visualization process along many dimensions, revealing the subtleties that can make or break a chart. Using the plotly library. we'll visualize a Medium blog post dataset many different ways. Enjoy!

    Code for this video:
    https://github.com/llSourcell/Data_Visualization

    Please Subscribe! And Like. And comment. Thats what keeps me going.

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    Twitter: https://twitter.com/sirajraval
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    Join us at the School of AI:
    https://theschool.ai/

    More learning resources:
    https://medium.com/@Infogram/18-data-visualization-resources-for-education-and-inspiration-529c6f528983
    https://machinelearningmastery.com/data-visualization-methods-in-python/
    http://newcoder.io/dataviz/intro/
    https://www.kaggle.com/benhamner/python-data-visualizations
    https://towardsdatascience.com/data-science-with-python-intro-to-data-visualization-and-matplotlib-5f799b7c6d82
    https://realpython.com/python-data-visualization-bokeh/

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    8652 Views
  • Big Data Analytics using Python and Apache Spark | Machine Learning Tutorial

    Apache Spark is the most active Apache project, and it is pushing back Map Reduce. It is fast, general purpose and supports multiple programming languages, data sources and management systems. More and more organizations are adapting Apache Spark to build big data solutions through batch, interactive and stream processing paradigms. The demand for trained professionals in Spark is going through the roof. Being a new technology, there aren't enough training sources to provide easy guidance on building end-to-end solutions.


    Section 1: Introduction
    Lecture 1
    About the course
    08:42
    Lecture 2
    About V2 Maestros
    01:39
    Lecture 3
    Resource Bundle
    Article
    Section 2: Overview
    Lecture 4
    Hadoop Overview
    10:06
    Lecture 5
    HDFS Architecture
    14:46
    Lecture 6
    Map Reduce - How it works
    17:24
    Lecture 7
    Map Reduce - Example
    16:46
    Lecture 8
    Hadoop Stack
    06:27
    Lecture 9
    What is Spark?
    14:03
    Lecture 10
    Spark Architecture - Part 1
    13:23
    Lecture 11
    Spark Architecture - Part 2
    13:25
    Lecture 12
    Installing Spark and Setting up for Python
    12:05
    Quiz 1
    Hadoop and Spark Architecture
    5 questions
    Section 3: Programming with Spark
    Lecture 13
    Spark Transformations
    11:33
    Lecture 14
    Spark Actions
    15:04
    Lecture 15
    Advanced Spark Programming
    10:10
    Lecture 16
    Python - Spark Programming examples 1
    16:11
    Lecture 17
    Python - Spark Programming Examples 2
    17:18
    Quiz 2
    Data Engineering with Spark
    5 questions
    Lecture 18
    PRACTICE Exercise : Spark Operations
    Article
    Section 4: Spark SQL
    Lecture 19
    Spark SQL Overview
    10:03
    Lecture 20
    Python - Spark SQL Examples
    16:16
    Quiz 3
    Spark SQL
    2 questions
    Lecture 21
    PRACTICE Exercise : Spark SQL
    Article
    Section 5: Spark Streaming
    Lecture 22
    Streaming with Apache Spark
    15:53
    Lecture 23
    Python - Spark Streaming examples
    17:47
    Quiz 4
    Spark Streaming
    3 questions
    Section 6: Real time Data Science
    Lecture 24
    Basic Elements of Data Science
    11:51
    Lecture 25
    The Dataset
    10:44
    Lecture 26
    Learning from relationships
    12:55
    Lecture 27
    Modeling and Prediction
    09:31
    Lecture 28
    Data Science Use Cases
    07:47
    Lecture 29
    Types of Analytics
    12:08
    Lecture 30
    Types of Learning
    17:16
    Lecture 31
    Doing Data Science in real time with Spark
    07:39
    Quiz 5
    Spark Data Science
    5 questions
    Section 7: Machine Learning with Spark
    Lecture 32
    Spark Machine Learning
    12:18
    Lecture 33
    Analyzing Results and Errors
    13:46
    Lecture 34
    Linear Regression
    19:00
    Lecture 35
    Spark Use Case : Linear Regression
    18:33
    Lecture 36
    Decision Trees
    10:42
    Lecture 37
    Spark Use Case : Decision Trees Classification
    14:58
    Lecture 38
    Principal Component Analysis
    07:28
    Lecture 39
    Random Forests Classification
    10:31
    Lecture 40
    Python Use Case : Random Forests & PCA
    13:16
    Lecture 41
    Text Preprocessing with TF-IDF
    14:53
    Lecture 42
    Naive Bayes Classification
    19:21
    Lecture 43
    Spark Use Case : Naive Bayes & TF-IDF
    07:26
    Lecture 44
    K-Means Clustering
    11:53
    Lecture 45
    Spark Use Case : K-Means
    14:26
    Lecture 46
    Recommendation Engines
    11:55
    Lecture 47
    Spark Use Case : Collaborative Filtering
    06:34
    Lecture 48
    Real Time Twitter Data Sentiment Analysis
    10:11
    Quiz 6
    Spark Machine Learning Algorithms
    4 questions
    Lecture 49
    PRACTICE Exercise : Spark Clustering
    Article
    Lecture 50
    PRACTICE Exercise : Spark Classification
    Article
    Section 8: Conclusion
    Lecture 51
    Closing Remarks
    01:56
    Lecture 52
    BONUS Lecture : Other courses you should check out
    Article
    144068 Views
  • Big Data Analytics | Big Data Explained | Big Data Tools & Trends | Big Data Training | Edureka

    ** Big Data Hadoop Training: https://www.edureka.co/big-data-and-hadoop **
    This Edureka Big Data Analytics video will help you in understanding what is Big Data Analytics & how it is revolutionizing various domains. Below are the topics covered in this Big Data Analytics video:

    1) Why Big Data Analytics?
    2) What is Big DataAnalytics?
    3) Different Stages in Big Data Analytics
    4) Different Types of Big Data Analytics
    5) Tools used in Big Data Analytics
    6) Big Data Analytics in Different Domains
    7) Trends in Big Data Analytics

    Subscribe to our channel to get video updates. Hit the subscribe button above.

    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!

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

    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 sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

    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

    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.”
    26175 Views
  • Top Big Data Technologies | Big Data Tools Tutorial | Big Data Hadoop Training | Edureka

    *** Big Data Hadoop Certification Training - https://www.edureka.co/big-data-and-hadoop ***
    This Edureka video on Big Data Technologies will provide you in-depth knowledge on Big Data Tools. This video will help you understand different types of Big-Data Technologies and trending Big-Data Tools in IT Industries. This video covers the following topics:

    0:45 Agenda
    1:18 What is Big Data Technology?
    1:56 Types of Big Data Technologies.
    2:09 Operational Big Data
    3:13 Analytical Big Data
    4:11 Top Big Data Technologies
    4:36 Big Data Technologies in Storage
    7:51 Big Data Technologies in Data Mining
    10:40 Big Data Technologies in Data Analytics
    15:09 Data Visualization
    16:31 Emerging Big Data Technologies

    Complete Hadoop Playlist: https://goo.gl/ExJdZs
    Complete Blog Series: http://bit.ly/2wO8l0y
    Big Data Podcast - https://castbox.fm/channel/id1814029

    Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

    #edureka #BigDataEdureka #BigDataTools #BigDataTechnologies #BigData #HadoopEdureka

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    LinkedIn: https://www.linkedin.com/company/edureka

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

    About the Course:

    Edureka's Big Data Hadoop Training Course is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools. Throughout this online instructor-led Hadoop Training, you will be working on real-life industry use cases.

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

    What are the objectives of our Big Data Hadoop Online Course?

    The Big Data Hadoop course offers:
    In-depth knowledge of Big Data and Hadoop including HDFS , YARN (Yet Another Resource Negotiator) & MapReduce
    Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
    The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
    The exposure to many real world industry-based projects which will be executed in Edureka’s CloudLab


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    Why should you go for Big Data Hadoop Online Training?

    Big Data is one of the accelerating and most promising fields, in the IT market today. In order to take benefit of these opportunities, you need structured training with the latest curriculum as per current industry requirements and best practices.

    Besides strong theoretical understanding, you need to work on various real-world big data projects using different Big Data and Hadoop tools as a part of the solution strategy.

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    Who should go for this Big Data Hadoop Training Course?

    Our Big Data Hadoop Course can be pursued by professional as well as freshers. It is best suited for:
    Software Developers, Project Managers
    Software Architects
    ETL and Data Warehousing Professionals
    Data Engineers
    Data Analysts & Business Intelligence Professionals
    DBAs and DB professionals
    Senior IT Professionals
    Testing professionals
    Mainframe professionals
    Graduates looking to build a career in Big Data Field

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    What are the pre-requisites for Edureka's Hadoop Training Course?

    There are no such prerequisites for Big Data & Hadoop Course. However, prior knowledge of Core Java and SQL will be helpful but is not mandatory. Further, to brush up your skills, Edureka offers a complimentary self-paced course on "Java essentials for Hadoop" when you enrol for the Big Data and Hadoop Course.

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    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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