Big Data Reviews

  • What is Big Data and Hadoop?

    The availability of large data sets presents new opportunities and challenges to organizations of all sizes. So what is Big Data? How can Hadoop help me solve problems in processing large, complex data sets? Please go to https://www.learningtree.com/bigdata to learn more about Big Data & our Big Data training offerings. In this video expert instructor, Bill Appelbe will explain what Hadoop is, actual examples of how it works and how it compares to traditional databases such as Oracle & SQL Server. And finally, what is included in the Hadoop ecosystem.
    938556 Views
  • What is Big Data?

    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

    Please don't forget to subscribe to our channel.
    https://www.youtube.com/user/itskillsindemand

    If you like this video, please like and share it.

    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
    216431 Views
  • Big Data - Tim Smith

    View full lesson: http://ed.ted.com/lessons/exploration-on-the-big-data-frontier-tim-smith

    There is a mind-boggling amount of data floating around our society. Physicists at CERN have been pondering how to store and share their ever more massive data for decades - stimulating globalization of the internet along the way, whilst 'solving' their big data problem. Tim Smith plots CERN's involvement with big data from fifty years ago to today.

    Lesson by Tim Smith, animation by TED-Ed.
    417910 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

    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
    8446 Views
  • Lecture: Mathematics of Big Data and Machine Learning

    MIT RES.LL-005 D4M: Signal Processing on Databases, Fall 2012
    View the complete course: https://ocw.mit.edu/RESLL-005F12
    Instructor: Jeremy Kepner

    Jeremy Kepner talked about his newly released book, "Mathematics of Big Data," which serves as the motivational material for the D4M course.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu
    16400 Views
  • Intro to Big Data: Crash Course Statistics #38

    Today, we're going to begin our discussion of Big Data. Everything from which videos we click (and how long we watch them) on YouTube to our likes on Facebook say a lot about us - and increasingly more and more sophisticated algorithms are being designed to learn about us from our clicks and not-clicks. Today we're going to focus on some ways Big Data impacts on our lives from what liking Hello Kitty says about us to how Netflix chooses just the right thumbnail to encourage us to watch more content. And Big Data is necessarily a good thing, next week we're going to discuss some of the problems that rise from collecting all that data.

    Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse

    Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:

    Sam Buck, Mark Brouwer, James Hughes, Kenneth F Penttinen, Trevin Beattie, Satya Ridhima Parvathaneni, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, D.A. Noe, Shawn Arnold, Malcolm Callis, Advait Shinde, William McGraw, Andrei Krishkevich, Rachel Bright, Mayumi Maeda, Kathy & Tim Philip, Jirat, Ian Dundore
    --

    Want to find Crash Course elsewhere on the internet?
    Facebook - http://www.facebook.com/YouTubeCrashCourse
    Twitter - http://www.twitter.com/TheCrashCourse
    Tumblr - http://thecrashcourse.tumblr.com
    Support Crash Course on Patreon: http://patreon.com/crashcourse

    CC Kids: http://www.youtube.com/crashcoursekids
    48994 Views
  • Big Data For Beginners | Big Data Analytics | Hadoop | Courses | Scope | Salary

    Big Data For Beginners | Big Data Analytics | Hadoop | Courses | Scope | Salary

    In this video we will explained Big Data and We will also explain how you can make career in it.

    So Do Like it Share it and Subscribe the channel for more such updates related to Education, Opinions and Interesting Facts.

    ►Ethical Hacking Details - https://www.youtube.com/watch?v=o0_janBsLso ✔
    ►Digital Marketing Details - https://www.youtube.com/watch?v=r1suKCHLmXo&t=36s ✔
    ►Top Online Website for Learning - https://www.youtube.com/watch?v=Xcm1iPiUJxo ✔

    WATCH OUR BEST VIDEOS RELATED TO EDUCATION
    ►Everything About MBA in India - https://goo.gl/wGD8NM ✔
    ►Top College Rankings - https://goo.gl/LEFzun ✔
    ►All about Investment Banking - https://goo.gl/Hk1rix ✔
    ►Financial Certification in Hindi - https://goo.gl/sKPqod ✔
    ►Internship and Apprenticeship Video in Hindi - https://goo.gl/RCBqBY ✔
    ►MCA Course Detail Hindi - https://goo.gl/bxntn3 ✔
    ►After 12th Best Courses for Science, Commerce and Arts - https://goo.gl/rVMcTR ✔
    ►BCA Course Related Video in Hindi - https://goo.gl/wsCM2G ✔
    ►BTech Course Related Video in Hindi - https://goo.gl/DqvfGF ✔
    ►Fastest and Easiest Way to Learn English - https://www.youtube.com/watch?v=GF5OHAZcW0k ✔
    ► How to Get Education LOAN in INDIA - https://www.youtube.com/watch?v=DoluUHBZ1zw ✔
    ► MBA INDIA VS MBA ABROAD - WHICH IS BEST ? - https://www.youtube.com/watch?v=ufgd8pkvtjE ✔
    ► Highest Paying Careers in India - https://www.youtube.com/watch?v=GF5OHAZcW0k ✔

    WATCH OUR BEST VIDEOS RELATED TO INTERESTING FACTS & OPINIONS [HINDI]
    ►Padmavati controversy in 5 minutes :- https://www.youtube.com/watch?v=ar_orIiwQqU&t=2s ✔
    ►North Korea vs USA Nuclear War :- https://www.youtube.com/watch?v=HrJkIqc3lB8&t=1s ✔
    ►Kamlesh Viral Video Truth :- https://www.youtube.com/watch?v=J-t0u81Tpt0&t=2s ✔
    ►Dangal Girl Zaira Wasim Issue :- https://www.youtube.com/watch?v=j9z7MHSKG14&t=28s ✔
    ►Countries where Education is free for Indians - https://www.youtube.com/watch?v=qDNG6H5qRA0&t=2s ✔

    BUY OUR RECORDING GEAR AT DISCOUNTED PRICES:-
    External Recording Blue Mic -http://amzn.to/2ynJOSn
    My Nikon Dslr d5600 - http://amzn.to/2ynN7sV
    My Collar Mic- http://amzn.to/2x3LAEf

    ABOUT US :-
    Praveen Dilliwala is a youth oriented Review Channel Where you will get Videos related to Education,Opinions, Jobs, Motivational, Interesting Facts and also I will share my experience about these things.
    Our Motto is to provide unbiased and right information so that you make informed decision.

    Follow us on :
    Facebook - https://www.facebook.com/PraveenDilliwala
    Twitter - https://twitter.com/praveendiliwala
    Instagram - https://www.instagram.com/praveendilliwala
    Google Plus - https://plus.google.com/u/0/113602971119506935594
    46700 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

    - 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/

    For more updates on courses and tips follow us on:

    - Google Plus: https://plus.google.com/u/0/108438615307549697541
    - Facebook: https://www.facebook.com/GreatLearningOfficial/
    - LinkedIn: https://www.linkedin.com/company/great-learning/
    337 Views
  • Big Data Problems: Crash Course Statistics #39

    There is a lot of excitement around the field of Big Data, but today we want to take a moment to look at some of the problems it creates. From questions of bias and transparency to privacy and security concerns, there is still a lot to be done to manage these problems as Big Data plays a bigger role in our lives.

    Special thanks to Dr. Sameer Singh, the University of Washington, and the University of California Irvine for the content provided in this video.

    Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse

    Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:

    Sam Buck, Mark Brouwer, James Hughes, Kenneth F Penttinen, Trevin Beattie, Satya Ridhima Parvathaneni, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, D.A. Noe, Shawn Arnold, Malcolm Callis, Advait Shinde, William McGraw, Andrei Krishkevich, Rachel Bright, Mayumi Maeda, Kathy & Tim Philip, Jirat, Ian Dundore
    --

    Want to find Crash Course elsewhere on the internet?
    Facebook - http://www.facebook.com/YouTubeCrashCourse
    Twitter - http://www.twitter.com/TheCrashCourse
    Tumblr - http://thecrashcourse.tumblr.com
    Support Crash Course on Patreon: http://patreon.com/crashcourse

    CC Kids: http://www.youtube.com/crashcoursekids
    6536 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.

    Want more education? Connect with me here:
    Twitter: https://twitter.com/sirajraval
    instagram: https://www.instagram.com/sirajraval
    Facebook: https://www.facebook.com/sirajology

    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/

    Join us in the Wizards Slack channel:
    http://wizards.herokuapp.com/

    Please support me on Patreon:
    https://www.patreon.com/user?u=3191693

    Signup for my newsletter for exciting updates in the field of AI:
    https://goo.gl/FZzJ5w
    8515 Views
The Number One Menace to All Organizations
 

Learn more about how to protect your organization against this growing menace
https://info.knowbe4.com/ransomware-simulator-tool-its

 

Big Data News