Big Data Reviews

  • Big Data - "Clean (feat. Jamie Lidell)" [Official Music Video]

    Subscribe for more Debut album 2.0 out now including "Clean (feat. Jamie Lidell)," "The Business of Emotion (feat. White Sea)" & "Dangerous (feat. Joywave)"

    ►►Google Play:

    Upcoming Tour Dates:


    A special thanks to Jamie Lidell, Lazy Ryan, Gunnar Olsen & Russell Henson


    Production Co: Good Company
    Director: Bill Kirstein
    DP: Zach Sullivan
    Executive Producer: Ryan Heiferman, Jonathan Lia, Alli Maxwell
    Producer: Stephen Holtzhauser
    Line Producer: Matt Shields
    1st AD: Siena Brown
    2nd AD: Stacey Thiel
    Production Designer: Bryan Norvelle 
    FX make up: Brandy McDonald

    Agency: Saatchi & Saatchi NY
    CEO: Brent Smart
    CCO: Jay Benjamin
    CMO: Christine Prins
    Creatives: A. Chris Moreira, Mark Schöller
    Head of Production: John Doris 
    Agency Producers: Tina Lam, Tegan Mahford, Frances Edwards,
    Music Producer: Christine Bilich
    Project Manager: John Rota
    Print Producers: Alison Vicidomini, Joe Smookler, Jennifer Wysokowski, John Lew

    BTS Crew / Editor: Andrew Slough, John Rota, Rohan Sen
    Teaser / Mixer: Justin Kooy

    Editor: Adam Zukerman 
    Post Production: Prodigious
    VFX: Tasayu Tasnaphun
    VFX: Jake Nelson
    Animator: Mikki Mengyi Xu
    Animator: Lhong Lhi
    Assistant Editor: Craig Vitrone
    Assistant Editor: Frank Barnes
    Director, MultiMedia: Murilo Silva
    EP, MultiMedia: Beth Fitzpatrick
    MultiMedia Coordinator: Casey Brumbach

    Color: Color Collective 
    Colorist: Mike Howell 
    Color EP: Claudia Guevara
  • How Big Data Could Transform The Health Care Industry

    Meet a data scientist who is using big data to create the medical systems of the future. Dr. Eric Schadt of the Icahn Institute is creating algorithms that can detect ailments and chart personalized health profiles.

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  • Crystal Widjaja - Pemanfaatan Big Data di dalam Bisnis GO-JEK | BukaTalks


    Crystal Widjaja (SVP Business Intelligence GO-JEK) sharing mengenai penggunaan dan manfaat big data dalam mengembangkan bisnis dalam acara BukaTalks. Crystal berbagi pengalamannya tersebut selama 2 tahun bekerja di GO-JEK.

    Yuk, mari belajar dan menemukan berbagai insight bersama Crystal Widjaja GOJEK dengan menonton video ini.
    Video #BukaTalks lainnya:


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  • Quels sont les métiers du Big-Data ?

    Pour ce nouvel épisode des Décideurs De l'Emploi consacré aux métiers du Big-Data, notre journaliste Pierre Chavanne reçoit Thibaut Portal, Vice-Président Services & Operations chez Makazi, et Benjamin Stanislas, psychosociologue et consultant au sein du cabinet de recrutement Clémentine !

    On résume souvent le Big-Data par ces trois « V » : Volume, Vélocité, Variété ! En clair, cela signifie que l'on assiste aujourd'hui à une multiplication quantitative de données variées que l'on sait exploiter de façon rapide. Ces évolutions donnent naissance à trois enjeux majeurs : il faut stocker, analyser et exploiter ces données ! Pour cela, de nouveaux métiers apparaissent...

    Profils recherchés, formations, débouchés, rémunération... Nos deux experts répondent à toutes vos questions sur ce sujet !
  • O que é Big Data - Conceitos básicos

    O que é Big Data

    Neste vídeo vamos apresentar o conceito de Big Data, explicando suas aplicações, características e importância tecnológica.

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  • Big Data vs Data Science vs Data Analytics | Demystifying The Difference | Edureka

    ** Hadoop Training: **
    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:

    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 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

  • Apa itu Big Data ?

    saat ini istilah big data tengah menjadi perbincangan di berbagai bidang dan industri, mengenal big data lebih dalam, simak video ini dan jangan lupa subscribe :)
  • Lecture: Mathematics of Big Data and Machine Learning

    MIT RES.LL-005 D4M: Signal Processing on Databases, Fall 2012
    View the complete course:
    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
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  • Why Big Data Analytics is the Best Career Path? Become a big Data Engineer in 2018

    Check out my latest Video:
    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, 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’.
The Number One Menace to All Organizations

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