Introduction to Big Data

(79 customer reviews)



Big Data, it’s advantages :

  • Better Insights from Data
  • Better view of User behaviours
  • Helps in more accurate predictions
  • Helps in personalization at Scale
  • Saves a lot of time required for information extraction
  • Integrates both structured and unstructured information
  • Helps in better decision making
  • Helps in becoming more customer-centric

This course will help you understand the basic concepts on identifying the right data and making sense.

Apache Hadoop is a framework designed to perform computations in a distributed fashion. It works on large clusters made up of commodity hardware connected by network. It is an Apache open source project under G N U Licenses. The framework is designed to process Big Data at a much higher speed than the existing Computational Setup.

The following features make Introduction to Big Data so persuable :

  • Open Source: Making it cost effective and customizable as per needs
  • Runs on Commodity Hardware: Reducing the infrastructure cost
  • Fault Tolerant: It makes 3 copies of the data block on different nodes, hence, in case any node goes down the data can be easily retrieved by the other nodes
  • Scalable: New nodes can be added on the fly without affecting the other nodes
  • Distributed Processing: The data id processed in parallel by the nodes in the cluster

Participants will learn about Hadoop Architecture and some other open source technologies used for Data processing. The course also touches topic like analytics through descriptive analytics, prescriptive analytics and predictive analytics.

Welcome to learn more…

The pre-requisite for Introduction to Big Data module includes basic understanding of IT terminologies related to data.

Engineering students or people interested to learn more about ICT Operations.

  • Characteristics and advantages
  • Hadoop, its features and ecosystem
  • Hadoop Architecture, and its basic building blocks
  • MapReduce, and its process using an example
  • Various Open-source Technologies, and
  • Using Big Data for Analytics and Customer Experience Management
  • Importance and associated risk
  • Hadoop
  • Open Source Technologies


Recommended : Data analytics using Hadoop

Course Type

79 reviews for Introduction to Big Data

  1. Tengaranavenkata Niteesha

  2. RaviTheja Reddy

  3. Samdish Arora

  4. Sambasivarao Puli

  5. Supraja Shetty

  6. Vishnukalyan M

  7. Shiva Upreti

  8. Moumita Koley

  9. Priyanka Tambe

  10. Meghana Jasti

  11. Saivishal Reddy

  12. Sharang Malhotra

  13. Chinmay Tiwari

  14. Nalin Kathuria

  15. Anshuman Ghosh

  16. Chetan Shrivastava

  17. Santhosh Baskar

  18. Imran Ullah

  19. Armaan Armaan

  20. Santhosh Bhat

  21. Umang Francis

  22. Rajaram Kamath

  23. Vishaal Ranjan

  24. Balamurugan Kathiresan

  25. Hemanth Sabbella

  26. Sonal Shinde

  27. Harshit Anand

  28. Muralikrishna .

  29. Arushi Srivastava

  30. Piyush Mani

  31. Manav Saini

  32. Anushka Khandelwal


  33. Sachin Singhal

  34. Gaurav Tripathi

  35. Anshi Gupta

  36. Surya T

  37. Siddharth Rawat

  38. Shailesh Prabhu

  39. Archit Agarwal

  40. Saimanikanta Gurram

  41. Payal Menaria


  42. Ananya Akhouri

  43. D Kale

  44. Monami Duttagupta

  45. Manmeet Kaur

  46. Anand Biyani

  47. Swati Jain

  48. Abhishek Natani

  49. Rishabh Mahajan

  50. Aditya Chauhan

  51. Rakshitha Nr

    One of the best modules ever read!! The contents are short and very informative .The audio is no different from that of cc content.

    Any module that would be released later on for the younger employees, would better have the same cc content with that of the audio content.Easy to grab and learn that way!!

    Thank u for all the modules that were given to us.Very much informative and have got much more knowledge about this vast field.
    Thank you once again for making me a part of this learning!

  52. Rajat Jhalani

  53. Ornika Mazumder

  54. Nilesh Agarwalla

  55. Abhishek Virmani

  56. Mohit Yadav

  57. Shubhanker Singh

  58. Ajay Ghodke

  59. Tuhin Bhowal

  60. Sanket Gaikwad

  61. Arushi Gupta

  62. Kovoor Prajwal

  63. Janmejay Singh

  64. Yash Kamoij

  65. Shivali Rai

  66. Mananshu Jain

  67. Kartik Kapur

  68. Kumar Ronit

  69. Shweta Sundarraman

  70. Ghodke Kalyani

  71. Nidhi Matlani

  72. Kiran Venkataramanappa

  73. Sowjanya M

  74. Ankit Kumar

  75. Polepalli Ashith

  76. Ajeena Shanmugan

  77. Megha Rohilla

  78. Saketan Patil

  79. Nikhil Bardia

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