Big Data Reviews

  • 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.
    94430 Views
  • 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
    282703 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’.
    28461 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
    19228 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
    365 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.
    96846 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
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    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!

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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 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!

    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/
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    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.”
    26194 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

    Instagram: https://www.instagram.com/edureka_learning/
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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.

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    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).
    8779 Views
  • Big Data In 5 Minutes | What Is Big Data?| Introduction To Big Data |Big Data Explained |Simplilearn

    Don't forget to take the quiz at 04:03!
    Comment below what you think is the right answer, to be one of the 3 lucky winners who can win Amazon vouchers worth INR 500 or $10! (Depending on your location). What are you waiting for? Winners will be announced on Dec 18th, 2019.

    This video will help you understand what Big Data is, the 5V's of Big Data, why Hadoop came into existence, and what Hadoop is. You will also learn about the storage unit and processing unit of Hadoop, and the implementation of Big Data through use cases. In the end, we will have a quiz on Hadoop. Massive amount of data that cannot be stored, processed, and analyzed using the traditional ways is known as Big Data. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, lets deep dive into this video and understand Big Data and Hadoop.

    Download the Big Data career guide to explore and step into the exciting world of Big Data, and follow the path towards your dream career: https://www.simplilearn.com/big-data-career-guide-pdf?utm_campaign=Big-Data-bAyrObl7TYE&utm_medium=Tutorials&utm_source=youtube

    To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

    Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ

    #WhatIsBigData #WhatIsHadoop #BigDataExplained #HadoopExplained #HadoopTraining #BigDataTraining #BigDataTutorial #HadoopTutorial #Simplilearn Big Data #SimplilearnHadoop #Simplilearn

    Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.

    What is this Big Data Hadoop training course about?
    The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.

    What are the course objectives?
    This course will enable you to:
    1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
    2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
    3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
    4. Get an overview of Sqoop and Flume and describe how to ingest data using them
    5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
    6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
    7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
    8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
    9. Gain a working knowledge of Pig and its components
    10. Do functional programming in Spark
    11. Understand resilient distribution datasets (RDD) in detail
    12. Implement and build Spark applications
    13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
    14. Understand the common use-cases of Spark and the various interactive algorithms
    15. Learn Spark SQL, creating, transforming, and querying Data frames

    Who should take up this Big Data and Hadoop Certification Training Course?
    Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
    1. Software Developers and Architects
    2. Analytics Professionals
    3. Senior IT professionals
    4. Testing and Mainframe professionals
    5. Data Management Professionals
    6. Business Intelligence Professionals
    7. Project Managers
    8. Aspiring Data Scientists

    Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Big-Data-bAyrObl7TYE&utm_medium=Tutorials&utm_source=youtube

    For more information about Simplilearn courses, visit:
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    - Website: https://www.simplilearn.com

    Get the Android app: http://bit.ly/1WlVo4u
    Get the iOS app: http://apple.co/1HIO5J0
    14279 Views
  • “The Great Hack”: Big Data Firms Helped Sway the 2016 Election. Could It Happen Again in 2020?

    The documentary “The Great Hack,” which was shortlisted from the Oscars, explores how the data firm Cambridge Analytica came to symbolize the dark side of social media in the wake of the 2016 U.S. presidential election. Cambridge Analytica collapsed in May 2018 after The Observer newspaper revealed the company had harvested some 87 million Facebook profiles without the users’ knowledge or consent. Cambridge Analytica then used the data to sway voters to support President Trump during the 2016 campaign. We speak with “The Great Hack” co-directors Karim Amer and Jehane Noujaim, as well as Cambridge Analytica whistleblower Brittany Kaiser.

    #DemocracyNow

    Democracy Now! is an independent global news hour that airs on nearly 1,400 TV and radio stations Monday through Friday. Watch our livestream 8-9AM ET: https://democracynow.org

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    9217 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

 

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