Big Data In 5 Minutes | What Is Big Data?| Introduction To Big Data |Big Data Explained |Simplilearn

Big Data In 5 Minutes | What Is Big Data?| Introduction To Big Data |Big Data Explained |Simplilearn

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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. A 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, let’s deep dive into this video and understand Big Data and Hadoop.

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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

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&utm_medium=Description&utm_source=youtube

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50 Comments

  1. patel munib on August 29, 2021 at 10:28 pm

    All options are correct about hadoop.😎



  2. Solasu Charan on August 29, 2021 at 10:30 pm

    Option C



  3. Dileep Kumar on August 29, 2021 at 10:30 pm

    D



  4. Jay Prakash Mishra on August 29, 2021 at 10:30 pm

    Quiz Answer : C



  5. Mahesh Choulwar on August 29, 2021 at 10:34 pm

    A is incorrect



  6. Munz Khan on August 29, 2021 at 10:34 pm

    Answer is C)



  7. Elena Madalina Vasile on August 29, 2021 at 10:35 pm

    I absolutely love the presentation. It’s so straightforward and enjoyable to watch.



  8. Ikramullah Ansari on August 29, 2021 at 10:36 pm

    Option B is not correct



  9. Mahesh Babu on August 29, 2021 at 10:37 pm

    A



  10. Khanh Nguyen Dang on August 29, 2021 at 10:43 pm

    Data gets stored in a distribuited manner in HDFS. My answer is B



  11. Mohamed Kanu on August 29, 2021 at 10:44 pm

    Sweet explanation and so inspiring . A big thank you. The answer is C. As for future impact, it’d undoubtedly impact every facet of life as voluminous data continues to be systematically produced as more and more aspects of our lives gets connected(for instance: from smart homes, smart cities, transport systems, smart hospitals, airplanes to wearables etc) all generate huge data streams. As a consequence, it’ll fuel manufacturing of more high end or super computers to handle the required fast processing demands we are witnessing. Keep up the good work Simplilearn. Applause from Sierra Leone.



  12. Job Armure on August 29, 2021 at 10:45 pm

    clear thx



  13. Uday kiran on August 29, 2021 at 10:46 pm

    C



  14. Shubhangi Gonte on August 29, 2021 at 10:46 pm

    HDFS is the storage layer of Hadoop is not correct about hdfs



  15. Arif Santoso on August 29, 2021 at 10:47 pm

    C is the incorrect answer



  16. Dedi Setiadi on August 29, 2021 at 10:49 pm

    Good information, thank.



  17. Loki Tech on August 29, 2021 at 10:49 pm

    Very helpful I subscribed to you I’ll keep watching ur vids
    Correct option is C
    As it’s map reduce which performs parallel processing



  18. Rezia's Cooking Moments on August 29, 2021 at 10:50 pm

    Option C



  19. Surya Phani on August 29, 2021 at 10:50 pm

    Nice explanation with good animated
    And answer is Option C



  20. Lakshay Chhabra C1 on August 29, 2021 at 10:52 pm

    A.



  21. Abhinaba Ghosh on August 29, 2021 at 10:53 pm

    Right answer is Option D.



  22. GOODTIMES美好的时光 on August 29, 2021 at 10:53 pm

    d



  23. Chetan Agarwal on August 29, 2021 at 10:53 pm

    D



  24. Adewumi John Adedoyin on August 29, 2021 at 10:55 pm

    A. HDFS is the storage layer of Hadoop



  25. NAGARAJU BHUKHYA on August 29, 2021 at 10:56 pm

    It’s Ans D



  26. srinath chaturvedula on August 29, 2021 at 10:56 pm

    D is the answer for the last question



  27. I am Trending on August 29, 2021 at 10:56 pm

    A



  28. Ramakannan Gopalakrishnan on August 29, 2021 at 10:58 pm

    Answer A



  29. Mojdeh Shoar on August 29, 2021 at 10:58 pm

    The answer is option A!



  30. Shabeena Shaik on August 29, 2021 at 11:01 pm

    HDFS Perform parallel processing of data



  31. Amna Ahmed on August 29, 2021 at 11:01 pm

    From Libya … its very useful



  32. Kena Tolesa on August 29, 2021 at 11:03 pm

    c



  33. vaibhav jain on August 29, 2021 at 11:03 pm

    C



  34. M.S. Prasanth on August 29, 2021 at 11:04 pm

    A is the answer



  35. Vinayak Khalasi on August 29, 2021 at 11:04 pm

    good



  36. Mallikarjuna G M on August 29, 2021 at 11:06 pm

    Answer A



  37. Crucial Gyaan on August 29, 2021 at 11:07 pm

    Answer is A



  38. shashank kumar on August 29, 2021 at 11:08 pm

    Answer is C, HDFS perform parallel processing of data



  39. Sachin Tak on August 29, 2021 at 11:08 pm

    C !!!



  40. G.Yeswanth Reddy on August 29, 2021 at 11:10 pm

    A



  41. Akshay Kaushal on August 29, 2021 at 11:14 pm

    Option A is incorrect



  42. Siddharth Gupta on August 29, 2021 at 11:15 pm

    C is the right answer



  43. Martin Hight on August 29, 2021 at 11:17 pm

    C, final answer.



  44. sonal yadav on August 29, 2021 at 11:17 pm

    answer is A



  45. Anjali Verma on August 29, 2021 at 11:21 pm

    Answer is ‘C’



  46. Nagarjuna Raju on August 29, 2021 at 11:22 pm

    Option A is incorrect



  47. Rupsha Chakraborty on August 29, 2021 at 11:23 pm

    Option A..HDFS is a storage layer of Hadoop



  48. Soumyadeep Roy on August 29, 2021 at 11:23 pm

    answer to the question is C



  49. chaitanya pande on August 29, 2021 at 11:23 pm

    Answer is( A)



  50. Purvi Giri on August 29, 2021 at 11:28 pm

    A