Big Data Reviews

  • What is Big Data and how does it work?

    We explain in collaboration with Anchormen what Big Data is and the possibilities that it holds.

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  • Big Data as Fast As Possible

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

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    Lifehacker article: http://lifehacker.com/what-is-big-data-and-whos-collecting-it-1595798695
    272033 Views
  • BIG Data Explained - Data all Around 😱 😱 😱

    Namaskaar Dosto, is video mein maine aapse BIG Data ke baare mein baat ki hai, Data ke baare mein toh aap sabhi jaante hai but BIG Data ka concept sabse alag hai. Yeh kya hai aur kaise kaam karta hai yeh maine aapko is video mein bataya hai. Mujhe umeed hai ki BIG data ke baare mein aapko yeh video pasand aayegi.

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    155523 Views
  • Rethinking Big Data Analytics with Google Cloud (Cloud Next '18)

    In this session, we'll discuss Google Cloud’s vision and engineering strategy that can help you move big data analytics solutions to the next level of benefits. Google Cloud Platform combines powerful serverless solutions for enterprise data warehousing, streaming analytics, managed Spark and Hadoop, modern BI, planet-scale data lake, and AI. We'll share how our customers are seamlessly integrating GCP services to innovative big data solutions, explain new partner solutions that are making it easy for you to capture value from big data, and demonstrate new solutions and product capabilities.

    SPTL108

    Event schedule → http://g.co/next18

    Watch more Spotlight sessions here → http://bit.ly/2Lby9sW
    Next ‘18 All Sessions playlist → http://bit.ly/Allsessions

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    3790 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".

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    183687 Views
  • Big data and Hadoop tutorial for beginners | Bigdata training videos

    Bigdata Big data tutorial big data training big data Hadoop big data and hadoop big data and hadoop tutorial big data and hadoop tutorial for beginners What is Big Data and Hadoop? big data tutorial for beginners big data certification Bigdata Hadoop tutorials
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  • Deep Learning: Intelligence from Big Data

    Deep Learning: Intelligence from Big Data
    Tue Sep 16, 2014 6:00 pm - 8:30 pm
    Stanford Graduate School of Business
    Knight Management Center – Cemex Auditorium
    641 Knight Way, Stanford, CA

    A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence.

    Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intelligence as a Service, by providing APIs that democratize access to Deep Learning algorithms. Join us on September 16, 2014 to learn more about this exciting new technology and be introduced to some of the new application domains, the business models, and the key players in this emerging field.

    Moderator
    Steve Jurvetson, Partner, DFJ Ventures

    Panelists
    Adam Berenzweig, Co-founder and CTO, Clarifai
    Naveen Rao, Co-founder and CEO, Nervana Systems
    Elliot Turner, Founder and CEO, AlchemyAPI
    Ilya Sutskever, Research Scientist, Google Brain

    Demo Companies**:
    Clarifai | SkyMind | Ersatz Labs | AlchemyAPI

    ** Follow (@VLAB) on Twitter and Event Hashtag #VLABdl
    537831 Views
  • Big Data will impact every part of your life | Charlie Stryker | TEDxFultonStreet

    This talk was given at a local TEDx event, produced independently of the TED Conferences. 2,500,000,000,000,000,000 bytes of data (2.5 exabytes) every day is what we currently generate. The mid-decade turning point we are now experiencing is an unprecedented ability to process these data, to generate insights. These insights, gleaned from new data processing techniques, can impact how we shop, how we find jobs, dating, and even how doctors diagnose illnesses.

    Dr. Charles W. Stryker is the Founder and President of a professional advisory firm, Venture Development Center, Inc. (VDC), and he has been recently recognized as the Data Innovator of the Year 2013. His business has a focused practice of assisting “Big Data” firms in creating, developing and commercializing Information Services properties.

    He has served on the board of a number of both public and private companies. His current board appointments include: Avention, Data Mentors, Datamyx, Geoscape, Innography, Jobvite, NetFactor, Netwise, RDC, The Retail Equation, Triton Technologies, and V12.

    Dr. Stryker has received the BS and MS degrees in Electrical Engineering and the Ph.D. in Computer Science from New York University. He has been an active speaker and author on the topic of database product development. In addition to these academic credentials, from 1991 to 1999 Dr. Stryker was a part time faculty member at the University of Pennsylvania, Wharton School where he taught a number of courses in its Entrepreneurial Center.

    About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
    125856 Views
  • The human insights missing from big data | Tricia Wang

    Why do so many companies make bad decisions, even with access to unprecedented amounts of data? With stories from Nokia to Netflix to the oracles of ancient Greece, Tricia Wang demystifies big data and identifies its pitfalls, suggesting that we focus instead on "thick data" -- precious, unquantifiable insights from actual people -- to make the right business decisions and thrive in the unknown.

    Check out more TED talks: http://www.ted.com

    The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more.

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    94773 Views
  • What is big data?

    http://www.weforum.org/
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