Big Data Reviews

  • What is Big Data? Big Data Explained (Hadoop & MapReduce)

    http://www.patrickschwerdtfeger.com/sbi/

    What exactly is Big Data? This video defines and explains Big Data as well as Hadoop and MapReduce in simple language.
    445739 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.
    94348 Views
  • 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.

    WEBSITE: http://www.funk-e.com
    FACEBOOK: http://www.facebook.com/funkeanimations
    TWITTER: http://www.twitter.com/funkeanimations
    455494 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
    280728 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
    302540 Views
  • Why Big Data Analytics is the Best Career Path? Become a big Data Engineer in 2018

    Check out my latest Video: https://www.youtube.com/watch?v=VCrrLdxEXtA
    Why Big Data Analytics is the Best Career Path? Become a big Data Engineer in 2018.

    Why Big Data Analytics is the Best Career Path?

    Hello guys my name is Daniel and you are watching beginner tuts and in this video, we are going to talk about why big data analytics is the best career path? If you’re looking for an amazing career option in information technology and don’t know anything about this industry, then this video can help you become a big data analytics engineer. The Average salary of a big data engineer is 100,000 annually… That’s right guys. 100 grand a year. Now you must be wondering, what the heck is big data??

    Big data is a term for data sets that are so large or complex that traditional data processing application software is too weak to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.

    The Great White is considered to be the King of the Ocean. This is because the great White is on top of its game. Imagine if you could be on top of the game in the ocean of Big Data!

    Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies for organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there.

    .

    Why Big Data Analytics is the Best Career move?
    If you are still not convinced by the fact that Big Data Analytics is one of the hottest skills, here are 5 more reasons for you to see the big picture.

    1. Soaring Demand for Analytics Professionals:
    Jeanne Harris, senior executive at Accenture Institute for High Performance, has stressed the significance of analytics professionals by saying, “…data is useless without the skill to analyze it.” There are more job opportunities in Big Data management and Analytics than there were last year and many IT professionals are prepared to invest time and money for the training.

    The job trend graph for Big Data Analytics, from Indeed.com, proves that there is a growing trend for it and as a result there is a steady increase in the number of job opportunities.



    The current demand for qualified data professionals is just the beginning. Srikanth, the Bangalore-based cofounder and CEO of CA headquartered Fractal Analytics states: “In the next few years, the size of the analytics market will evolve to at least one-thirds of the global IT market from the current one-tenths”.

    Technology professionals who are experienced in Analytics are in high demand as organizations are looking for ways to exploit the power of Big Data. The number of job postings related to Analytics in Indeed and Dice has increased substantially over the last 12 months. Other job sites are showing similar patterns as well. This apparent surge is due to the increased number of organizations implementing Analytics and thereby looking for Analytics professionals.

    In a study by QuinStreet Inc., it was found that the trend of implementing Big Data Analytics is zooming and is considered to be a high priority among U.S. businesses. A majority of the organizations are in the process of implementing it or actively planning to add this feature within the next two years.

    2. Huge Job Opportunities & Meeting the Skill Gap:
    The demand for Analytics skill is going up steadily but there is a huge deficit on the supply side. This is happening globally and is not restricted to any part of geography. In spite of Big Data Analytics being a ‘Hot’ job, there is still a large number of unfilled jobs across the globe due to shortage of required skill. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.

    According to Srikanth, co-founder and CEO of Fractal Analytics, there are two types of talent deficits: Data Scientists, who can perform analytics and Analytics Consultant, who can understand and use data. The talent supply for these job title, especially Data Scientists is extremely scarce and the demand is huge.

    3. Salary Aspects:
    Strong demand for Data Analytics skills is boosting the wages for qualified professionals and making Big Data pay big bucks for the right skill. This phenomenon is being seen globally where countries like Australia and the U.K are witnessing this ‘Moolah Marathon’.
    28398 Views
  • Big data: why should you care?

    In the second episode of Five Minute Masterminds, the author and broadcaster Timandra Harkness introduces big data, explaining how big it actually is, its impact on recent political elections and how it can change your life 
    Can we all move to Mars? Prof Martin Rees on space exploration – video
    'Big Data, Does Size Matter? by Timandra Harkness
    Guardian privacy policy
    17579 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/
    -------
    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
    291 Views
  • Big Data in 3 Minuten erklärt

    Big Data bezeichnet unter anderem große Datenmengen, die wir täglich produzieren und die irgendwo gesammelt werden.
    Doch was passiert mit diesen Daten eigentlich und warum werden Daten überhaupt gesammelt?

    youknow ist einer der führenden Anbieter von Erklärvideos und E-Learning-Lösungen im deutschsprachigen Raum. Weitere Infos auf https://you-know.de, https://you-know.ch und https://you-know.at.

    Du darfst dieses Erklärvideo gerne für eigene Zwecke verwenden. Voraussetzung ist, dass du uns namentlich nennst (youknow) und auf unsere Website verlinkst (https://you-know.de).




    Der Begriff „BigData“ bezeichnet Datenmengen, die so groß sind, dass man sie mit normaler Soft- oder Hardware bzw. herkömmlichen Methoden der Datenverarbeitung nicht mehr bewältigen kann. Wie entstehen solche Datenmengen? Ganz einfach: Wir alle speisen sie mit jedem Klick, jedem Online-Einkauf, jeder Eingabe ins Navigationsgerät, jeder Finanztransaktion, jedem Telefonat, jedem Fitnessstudiobesuch, jedem neuen Freund im sozialen Netzwerk... Das bedeutet: Die Datenberge wachsen – und zwar rasant.
    Die gleiche Menge an Daten, die die Menschheit von ihrem Ursprung an bis zum Jahr 2002 geschaffen hat, entsteht im Jahr 2014 bereits in der Zeit, in der Sie einen Kaffee trinken – innerhalb von zehn Minuten.
    Mit dem Begriff „BigData“ sind aber häufig nicht nur die Daten an sich, sondern auch deren Analyse und Nutzung gemeint. Das bedeutet, dass man die Datenmenge nutzt, indem man darin automatisiert Muster und Zusammenhänge sucht.
    Ein Beispiel dafür kennt fast jeder vom Online Shopping: Empfehlungen à la „Kunden, die das kauften, kauften auch...“ basieren auf der Echtzeit-Auswertung von Millionen von Kaufdaten anderer Kunden. Mithilfe dieser Daten wird errechnet welche Produkte den Käufer mit hoher Wahrscheinlichkeit noch interessieren könnten.
    Ein ganz anderes Beispiel für die Analyse von BigData kommt aus den USA: Dort wurde über die automatisierte Auswertung von Tweets die Verbreitung einer Grippewelle vorhergesagt und eingedämmt.
    Es sind unendlich viele Bereiche denkbar, in denen BigData zum Einsatz kommen kann: In der medizinischen Forschung können Massendaten helfen, die besten Therapien für Krankheiten wie Krebs zu finden. Maschinen können ihre eigenen Betriebsdaten nutzen, um daraus zu lernen und effizienter zu werden. Unternehmen können BigData nutzen, um ihre Kunden besser kennenzulernen und Produkte, Dienstleistungen und Werbung auf sie zuzuschneiden. Und das sind nur einige Beispiele...
    Aber BigData wirft auch Fragen auf: Wem gehören die – häufig persönlichen – Daten? Ist es gefährlich, wenn nur wenige große Unternehmen sie kontrollieren? Wollen wir – und das ist ein reales Beispiel – wirklich von einem Online-Shop auf Basis des Kaufverhaltens erfahren, dass jemand schwanger ist? Und: Kommt irgendwann der Zeitpunkt, an dem auch menschliches Verhalten voraussagbar wird?
    Also: BigData bietet enorme Chancen, aber auch Risiken. Es ist ein wenig wie bei der Entdeckung des Feuers durch die Steinzeit-Menschen: Man kann sich daran die Finger verbrennen oder eine Zivilisation darauf begründen.
    96794 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.”
    24888 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