Big Data Reviews

  • 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

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    8542 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
    16465 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’.
    28397 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.
    12092 Views
  • Task processing, APIs, Big Data & JavaScript

    There's tons of options for doing data processing in other languages like Java and Python. With actionhero.js, you can use Nodejs's event loop model to create a scalable and cohesive API for processing and serving large amount of data. From the actionhero.js documentation, here's a quick synopsis of this great framework:

    “actionhero.js is a multi-transport API Server with integrated cluster capabilities and delayed tasks. The goal of actionhero is to create an easy-to-use toolkit for making reusable & scalable APIs.”

    In this session, we'll use actionhero.js to build some examples, with lots of code, to demonstrate the capabilities of this framework. We'll consume some data, do some task processing, then access the data via an API. We'll use Websockets along with standard HTTP to build a real-time, web-enabled, application.

    EVENT:

    Øredev 2017

    SPEAKER:

    Pratik Patel

    PERMISSIONS:

    Øredev Conference Organizer provided Coding Tech with the permission to republish this video.
    1961 Views
  • Big Data Success In Practice: The Biggest Mistakes To Avoid Across The Top 5 Use Cases

    Bernard Marr, internationally best-selling business author, keynote speaker and strategic advisor to companies and governments.

    Big Data comes with big promises to change our world and fuel an AI revolution and even a 4th industrial revolution. In order for these promises to be realised companies must to deliver successful big data projects. In his keynote address Bernard Marr will explore the top 5 big data use cases in organisations and identify some of the biggest mistakes data science teams must avoid as well as key criteria for success. Bernard will do this by looking at a series of real word examples in which he will also touch on key trends including data democratisation and self-service BI, data privacy and GDPR, edge and fog computing, digital twin technology as well as IoT and deep learning AI. Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI & Big Data guru. He has worked with and advised many of the world's best-known organisations. LinkedIn has recently ranked Bernard as one of the top 10 Business Influencers in the world (in fact, No 5 - just behind Bill Gates and Richard Branson). He writes on the topic of data and analytics for various publications including Forbes, HuffPost, and LinkedIn Pulse. His blogs and SlideShare presentation of the topic have millions of readers.
    4624 Views
  • Big Data Architecture Patterns

    This talk is part of Cerner's Tech Talk series. Check us out at http://engineering.cerner.com/ and @CernerEng

    This talk focuses on the real world experience on the architectural patterns and tools integrations used to solve real business problems with data. This will be a technical session that covers tools such as Hadoop and NoSQL data stores and how to use them for the right use cases. During the session we will dive into customer architectures and where they have had both successes and failures using a combination of tools to server both OLTP and OLAP workloads. Some of the successes will include large cost reduction in SQL licensing and SAN as well as reduction in overall data warehouse costs including ETL appliances and manpower. The other core focus will be on driving change into businesses and how these customers were able to become leaders or maintain leadership using the data at hand and a set of tools.

    About the Speaker:
    Eddie Satterly (@eddie_satterly) is the Chief Big Data Evangelist in the office of the CTO at Splunk. Prior to working at Splunk, he has been in a variety of roles such as engineer, architect, and CTO. Satterly has extensive experience with Apache Cassandra and Apache Hadoop and was named to the Apache Cassandra MVP board in 2012. In addition to his role at Splunk, Satterly serves on the advisory board of two data startups and is a frequent conference speaker.
    162023 Views
  • BIG DATA - 3.0 - "L1ZY"

    Introducing the most advanced artificial intelligence platform in modern history... BIG DATA 3.0.

    “Monster (feat. Jamie Lidell)” available now: http://bigdata.lnk.to/monsterYD

    See BIG DATA perform live on the Alt Nation tour: http://blog.siriusxm.com/siriusxm-alt-nation-presents-big-data-on-tour-with-castlecomer-and-fitness/

    Credits:

    Directed by GHOST + COW
    Written by BIG DATA and GHOST + COW
    Story and Executive Produced by BIG DATA

    Produced by Steve Cozzarelli

    Players:

    Claire Burns as Mary
    David Levin as Gerry
    Juliet Brett as Alison
    Alexander Jameson as Brandon
    Sondra James Weil - Neighbor
    Lizy Ryan as L1ZY

    Director of Photography - Luke McCoubrey

    Edited by Geordie Anderson

    Score and original music by BIG DATA

    Sound design and mix by Brian Goodheart

    Sonic Union Producer - Halle Petro

    Colored by Ashley Ayarza

    Nice Shoes Producer - Elizabeth Mitchell

    VFX artist - Tim Mearini

    Production designer - Jana Bergstedt

    Makeup / SFX artist - Emma Berley

    Art PA / Driver - Scott Raven

    Wardrobe Stylist - Kayci Rothweiler

    1st AD - Ruby Walters

    Assistant camera - Julian Tran

    Sound mixer - Edward Morris

    Camera PA - Beth Fletcher

    Key Grip - Jesse Moritz

    Grips - Landon Yost, Mitch Perrin

    Gaffer - Jesse Sanchez-Strauss

    Swing - Rylie Patterson

    Production assistants - Smij McBee, Angie Blas

    Special thanks to alldayeveryday productions, De Boer Media

    EXTRA SPECIAL THANKS to the Gudis Family for their incredible generosity.
    36734 Views
  • Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex

    This talk was given at a local TEDx event, produced independently of the TED Conferences. The amount of information that we are creating is increasing at an incredible speed. But how are we going to manage it?

    Professor Maria Fasli is based in the School of Computer Science and Electronic Engineering at the University of Essex. She obtained her BSc from the Department of Informatics of T.E.I. Thessaloniki (Greece). She received her PhD from the University of Essex in 2000 having worked under the supervision of Ray Turner in axiomatic systems for intelligent agents. She has previously worked in the area of data mining and machine learning. Her current research interests lie in agents and multi-agent systems and in particular formal theories for reasoning agents, group formation and social order as well as the applications of agent technology to e-commerce.

    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)
    141570 Views
  • What Is Big Data? & How Big Data Is Changing The World!

    In this video, we’ll be discussing big data – more specifically, what big data is, the exponential rate of growth of data, how we can utilize the vast quantities of data being generated as well as the
    implications of linked data on big data.

    - Starting off we'll look at, how data has been used as a tool from the origins of human evolution, starting at the hunter-gatherer age and leading up to the present information age. Afterwards, we'll look into many statistics demonstrating the exponential rate of growth and future growth of data.

    - Following that we'll discuss, what exactly big data is and delving deeper into the types of data, structured and unstructured and how they will be analyzed both by humans and machine learning (AI). We'll also discuss the next evolution of data,
    linked data, and how it will change the world and the web!

    - To conclude we'll briefly overview the role cloud computing will play with big data!

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    Soundtrack ➤

    ♫ 00:00 "G.I. Joe" by MadD3E

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