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.
    938714 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.

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    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!

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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 a 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." 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.

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    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.

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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 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/
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    8513 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
    16445 Views
  • The Explainer: Big Data and Analytics

    Big data and smart analytics are more than buzzwords. They’re an important way to improve decision making to ensure that your company is a step ahead of competitors.
    12067 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:

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    379 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
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    Support Crash Course on Patreon: http://patreon.com/crashcourse

    CC Kids: http://www.youtube.com/crashcoursekids
    6580 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
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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/

    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
    8579 Views
  • Big Data explained (explainity® explainer video)

    Big Data is all over the news recently. But what is it all about? In this short video we give a definition of Big Data and we explain what it is being used for and some of its perks and weaknesses.

    Script download: www.explainity.com/education-project/transskripte/
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    This explainer video was produced by explainity GmbH
    Homepage: www.explainity.com
    E-Mail: info@explainity.com

    This explanatory film was produced and published for private, non-commercial use and may be used free of charge in this context for private purposes without consultation or written authorization. Please note, however, that neither the content nor the graphics of this explanatory film may be altered in any way. Please always give explainity as the source when using the film, and if you publish it on the internet, provide a reference to www.explainity.com.

    For commercial use or use for training purposes, such as projection of the film at training events (e.g. projection of the film as a teaching aid in school or in adult education), a licence is required. Further information on this subject will be found here: https://www.explainity.com/education-project
    261 Views
  • Big Data Challenges and Opportunities

    Presenter: Prof. Sam Madden - Director, MIT Big Data Initiative

    Big Data has attracted huge attention in the supply chain domain, and advances in hardware and software technology promise to extend our analytical capabilities even further. This session will explore the opportunities and risks that lie ahead in the Big Data space.

    http://ctl.mit.edu/crossroads
    54369 Views
  • Dlaczego czasami warto kupić własnego konia? - Big Data

    Partner odcinka ► https://cdv.pl
    Patronite ► https://patronite.pl/NaukowyBelkot
    Mix audio ► http://ratstudios.pl/

    W 2013 roku pewien miliarder z Egiptu, nie mogąc już wycofać z aukcji swojego konia, kupił go od siebie pod pseudonimem. Wydał 300 tysięcy dolarów. Dlaczego? Ponieważ tak poradził mu facet, który zrobił koniowi USG. Rekomendacja wynikała nie z lat spędzonych na trenowaniu koni, ale z tysięcy "zmierzonych" osobników Zaufanie opłaciło się…

    To przykład zastosowania w praktyce analizy Big Data. Jeżeli chcecie dowiedzieć się więcej o wpływie Big Data na nasze codzienne życie (w tym choćby YouTube) to zapraszam do obejrzenia filmu.

    Materiał powstał we współpracy z Collegium da Vinci, poznańską uczelnią wyższą. Jest to uczelnia, która stawia na przygotowanie do zawodów przyszłości i oferuje studia na kierunku Data Science, ściśle związanym właśnie z analizą Big Data. Mój kanał jest partnerem tego kierunku. Więcej informacji znajdziecie tu: https://cdv.pl/studia-i-stopnia/studia-i-stopnia-pl/data-science/

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    Film z CERN o pokrewnej tematyce:
    https://www.youtube.com/watch?v=5YigA40NQ8w

    ===
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    Grupa na facebooku ► https://goo.gl/HP8J83

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    Źródła (wybrane):

    S. Stephens-Davidowitz - Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
    (bardzo polecam!)

    T. Breur - "Statistical Power Analysis and the contemporary "crisis" in social sciences"

    N. Dedic i i n. - Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery

    https://slate.com/human-interest/2015/11/dreams-and-big-data-dream-recording-apps-like-shadow-explore-the-collective-unconscious.html

    https://true.ink/story/amercianpharaoh-bloodstockingsecrets/

    https://www.predictiveanalyticsworld.com/patimes/doppelganger-discovery-baseball-sabermetrics-inspires-predictive-analytics/8788/

    #BigData #DataScience #konie

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    Zdjęcie American Pharoah:

    By Mike Lizzi from Nassau County , USA - American Pharoah - 2015 Belmont Stakes, CC BY-SA 2.0,
    https://commons.wikimedia.org/w/index.php?curid=40912849
    129584 Views
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