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NPTEL

Big Data Computing

NPTEL and Indian Institute of Technology Patna via YouTube

Overview

COURSE OUTLINE : In today's fast-paced digital world , the incredible amount of data being generated every minute has grown tremendously from sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and GPS signals from cell phone to name a few. This amount of large data with different velocities and varieties is termed as big data and its analytics enables professionals to convert extensive data through statistical and quantitative analysis into powerful insights that can drive efficient decisions. This course provides an in-depth understanding of terminologies and the core concepts behind big data problems, applications, systems and the techniques, that underlie todays big data computing technologies. It provides an introduction to some of the most common frameworks such as Apache Spark, Hadoop, MapReduce, Large scale data storage technologies such as in-memory key/value storage systems, NoSQL distributed databases, Apache Cassandra, HBase and Big Data Streaming Platforms such as Apache Spark Streaming, Apache Kafka Streams that has made big data analysis easier and more accessible. And while discussing the concepts and techniques, we will also look at various applications of Big Data Analytics using Machine Learning, Deep Learning, Graph Processing and many others. The course is suitable for all UG/PG students and practicing engineers/ scientists from the diverse fields and interested in learning about the novel cutting-edge techniques and applications of Big Data Computing.

Syllabus

noc19-cs33-Introduction-Big Data Computing.
noc19-cs33 Lecture 1-Introduction to Big Data.
noc19-cs33 Lecture 2-Big Data Enabling Technologies.
noc19-cs33 Lecture 3-Hadoop Stack For Big Data.
noc19-cs33 Lec 04-Hadoop Distributed File System (HDFS).
noc19-cs33 Lec 05-Hadoop MapReduce 1.0.
noc19-cs33 Lec 06-Hadoop MapReduce 2.0 (Part-I).
noc19-cs33 Lec 07-Hadoop MapReduce 2.0 (Part-II).
noc19-cs33 Lec 08-MapReduce Examples.
noc19-cs33 Lec 09-Parallel Programming with Spark.
noc19-cs33 Lec 10-Introduction to Spark.
noc19-cs33 Lec 11-Spark Built-in Libraries.
noc19-cs33 Lec 12-Design of Key-Value Stores.
noc19-cs33 Lec 13 Data Placement Strategies.
noc19-cs33 Lec 14 CAP Theorem.
noc19-cs33 Lec 15 Consistency Solutions.
noc19-cs33 Lec 16 Design of Zookeeper.
noc19-cs33 Lec 17 CQL (Cassandra Query Language).
noc19-cs33 Lec 18 Design of HBase.
noc19-cs33 Lec 19 Spark Streaming and Sliding Window Analytics (Part-I).
noc19-cs33 Lec 20 Spark Streaming and Sliding Window Analytics (Part-II).
noc19-cs33 Lec 21 Sliding Window Analytics.
noc19-cs33 Lec 22 Introduction to Kafka.
noc19-cs33 Lec 23 Big Data Machine Learning (Part-I).
noc19-cs33 Lec 24 Big Data Machine Learning (Part-II).
noc19-cs33 Lec 25 Machine Learning Algorithm K-means using Map Reduce for Big Data Analytics.
noc19-cs33 Lec 26 Parallel K-means using Map Reduce on Big Data Cluster Analysis.
noc19-cs33 Lec 27 Decision Trees for Big Data Analytics.
noc19-cs33 Lec 28 Big Data Predictive Analytics (Part-I).
noc19-cs33 Lec 29 Big Data Predictive Analytics (Part-II).
noc19-cs33 Lec 30 Parameter Servers.
noc19-cs33 Lec 31 PageRank Algorithm in Big Data.
noc19-cs33 Lec 32 Spark GraphX & Graph Analytics (Part-I).
noc19-cs33 Lec 33 Spark GraphX & Graph Analytics (Part-II).
noc19-cs33 Lec 34 Case Study: Flight Data Analysis using Spark GraphX.

Taught by

IIT Kanpur July 2018

Tags

Reviews

4.7 rating, based on 12 Class Central reviews

Start your review of Big Data Computing

  • JUDIN MATHEW
    I recently completed the Big Data Computing online course, and I must say it exceeded all my expectations. The course provided a comprehensive and insightful journey into the world of big data, offering a perfect blend of theoretical concepts and…
  • Profile image for 22-ASWIN KUMAR P S
    22-ASWIN KUMAR P S
    The Big Data Computing course exceeded my expectations, providing a comprehensive and insightful exploration into the complexities of handling vast datasets. The curriculum seamlessly blended theoretical foundations with practical applications, offe…
  • Profile image for ANANDU P GANESH
    ANANDU P GANESH
    The Big Data class provided a comprehensive exploration of the principles and technologies shaping the field. The curriculum adeptly covered fundamental concepts, including data storage, processing, and analysis at scale. Hands-on projects and real…
  • Profile image for 28_DEEPAK KS
    28_DEEPAK KS
    The Big Data Computing course by NPTEL on YouTube is a comprehensive and insightful exploration of big data concepts. The lectures are well-structured, and the instructors explain complex topics in a clear and engaging manner. The practical examples and hands-on exercises enhance the learning experience. However, some sections could benefit from more in-depth explanations. Overall, it's a valuable resource for those looking to grasp the fundamentals of big data computing.

  • Jithin James
    The big data course provided comprehensive insights into handling large datasets, covering essential tools like Hadoop and Spark. The instructor's expertise was evident, and practical exercises enhanced understanding. However, more real-world case studies could enhance practical applicability.
  • Profile image for 20 - ASWIN BIJUKUMAR
    20 - ASWIN BIJUKUMAR
    it was very interesting learning new things. i really liked the way it explained all really well.
    i hope i can learn more things regarding big data computing

  • Felix Sebastian
    Good classes with easy and user friendly interface. Helps to get a lot of portions in a very small amount of time thank for making this course.
  • Profile image for 41-Libin Mani
    41-Libin Mani
    This was an excellent session . I learned the basics of the Big data computing through this course . The topics are well explained.
  • Sachu Saji
    This course is very useful and understanding.
    iam very helpful with the concept in this video.
    The class was very amazing.
  • Good classes and really good interface and easy to learn and understandable.
    The interface in especially user friendly.
  • Durgadevi V


    Goodeveng

    Really this course was nice

    And I have learnt many new information

    Thank u so much for the entire team

    Keep learning
  • Madhava Ramesh Nanubala
    Good explanation and useful stuff by mentor from IIT Patna. And he can covered all the basics of Big data. We can learn something without knowing anything from him.

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