Big Data Reviews

  • Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hadoop Training | Edureka

    ** Flat 20% Off (Use Code: YOUTUBE20) Hadoop Training: https://www.edureka.co/hadoop **
    This Edureka Big Data tutorial ( Big Data Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this tutorial:

    1) Evolution of Data
    2) What is Big Data?
    3) Big Data as an Opportunity
    4) Problems in Encasing Big Data Opportunity
    5) Hadoop as a Solution
    6) Hadoop Ecosystem
    7) Edureka Big Data & Hadoop Training

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    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).

    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.”
    686994 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.
    84648 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:
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  • 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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  • All you should know about Big Data – Hadoop,Careers,Scope,Modules,Highpaid jobs

    Get Recruitment Notifications of all private and govt jobs , Mock test details ,Previous year question papers only at Freshersworld.com – the No.1 jobsite for entry level candidates in India. (To register : http://freshersworld.com?src=Youtube ) – This video is all about “Careers and Training courses for Big Data
    There are a handful of working definitions for big data, but to me it is most simply put as data sets so large and complex that it becomes difficult or impossible to process them using traditional database management applications.

    Granted, the term may apply differently to different organizations. For a smaller company, facing hundreds of gigabytes of data for the first time may trigger a need to explore new tools. Other companies that generate tons of transactional data, like UPS, wouldn't flinch with their existing toolsets until they hit tens or hundreds of terabytes.
    For freshers who wants to start learning big data here are a few tips:
    1. Begin with the basics: If you are looking at building a career in big data, you can start with developing the core aptitudes such as curiosity, agility, statistical fluency, research, scientific rigor and skeptical nature. You have to decide which facet of data investigation (data wrangling, management, exploratory analysis, prediction) are you looking at acquiring. The first step to learning big data is to develop basic level of familiarity with programming languages.
    2. Experience in programming languages: Begin with developing basic data literacy and an analytic mindset by building knowledge of programming languages such as Java, C++, Pig Latin and HiveQL. Figure out where you want to apply your data analytics skills to describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations.
    3. Expertise in Hadoop: Developing knowledge about Hadoop Map-Reduce and Java is essential if you’re looking to be a high-performance data software engineer.
    4. What are you looking for? If you are looking for a career switch to big data, begin with developing the skill sets required to work with Hadoop. A well-rounded understanding of Hadoop requires experience in large-scale distributed systems and knowledge of programming languages.
    5. Data Analytics Skills: If you want to learn the fundamentals and want to get an indepth understanding of every aspect of Big Data, the resource material provided by Apache’s library is very useful. The Hadoop programme offered by Apache is an open-source software for reliable, scalable, distributed computing. Some of the other programmes offered are HBase Hive, Mahout, Pig ZooKeeper.
    6. Online Courses: The big data universe is still very young, to get a well rounded expertise in big data it is important to learn and hone skills related to the subject. Decide on the course based on the skill set you're looking to get. Just by dedicating some time and energy, you can tackle learning big data with these free online classes.


    Applications of Big Data
    Big data includes problems that involve such large data sets and solutions that require a complex connecting the dots. You can see such things everywhere.

    1. Quora and Facebook use Big data tools to understand more about you and provide you with a feed that you in theory should find it interesting. The fact that the feed is not interesting should show how hard the problem is.
    2. Credit card companies analyze millions of transactions to find patterns of fraud.
    3. There are similar problems in defense, retail, genomics, pharma, healthcare that requires a solution.

    The companies offering jobs on Big Data are : Qualcomm India Pvt Ltd, Accenture, Dev Solutions
    So let us summarize as Big Data is a group of problems and technologies related to the availability of extremely large volumes of data that businesses want to connect and understand. The reason why the sector is hot now is that the data and tools have reached a critical mass. This occurred in parallel with years of education effort that has convinced organizations that they must do something with their data treasure.


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    69058 Views
  • 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.

    -----------------------------------------------------------------
    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 sales@edureka.co 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 sales@edureka.co

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    8435 Views
  • What is Big Data? Introduction to Big Data | Big Data on Hadoop [Part 1] | Tutorial | Great Learning

    #BigData | What is Big Data Hadoop? How does it helps in processing and analyzing Big Data? In this course, you will learn the basic concepts in Big Data Analytics, what are the skills required for it, how Hadoop helps in solving the problems associated with the traditional system and more.

    About the Speaker: Raghu Raman A V
    Raghu is a Big Data and AWS expert with over a decade of training and consulting experience in AWS, Apache Hadoop Ecosystem including Apache Spark.

    He has worked with global customers like IBM, Capgemini, HCL, Wipro to name a few as well as Bay Area startups in the US.

    #BigData #BigDataHadoop #GreatLakes #GreatLearning
    About Great Learning:
    - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.

    - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM

    - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U

    - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670

    - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU

    - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1

    - Learn More at: https://www.greatlearning.in/

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    327 Views
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