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Big data study material pdf – Big Data Notes for CSE and Study Material PDF Free Download

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Big Data Notes for CSE: Students on a hunt to get hold of the Big Data Notes and Study materials For Computer Science Engineering can avail the best resources for their revision or preparation process of all the essential concepts or topics.

The Big Data Notes and Study Materials for CSE are the principal study resources, and the reference materials foster and augment better preparation and help graduates secure good grades. Students can refer to the Big Data Lecture Notes For CSE as per the latest and updated syllabus from this article.

Big Data Notes and Study Materials for CSE graduates hold an advantage as they will acquire the updated Reference Books, Syllabus, and List of Important Questions Big Data over regular class notes.

Graduates can avail from the Big Data Notes PDF downloads and Reference Books for CSE from this article and excel their preparation approaches with the best study resources and achieve better scores.

Introduction to Big Data Notes for CSE Notes

Big data is a common terminology that inundates a business on an everyday basis. It describes large volumes of both structured and unstructured data. But the amount of information is not what matters, but, what the implementation of the big data by organisations is what’s important.

Big data works only on a few essential concepts like Master-Slave, Map-Reduce concerts, and more. These are a few of the ideas most computer engineers remain aware and updated. Hence, the familiarity with these concepts facilitates better advantage in learning of these technologies and its practical use in complex cases.

Here are a few examples of Big data in our everyday life – Personalized marketing, Monetization of Health conditions through data from wearable, and the fuel optimization tools for the transportation industry.

Big Data Notes for CSE Notes and Study Material PDF Free Download

Big data study material pdf: Graduates pursuing Computer Science Engineering can avail from the Big Data Notes and Study Materials for CSE updated in this article. Students can boost and amplify their preparation with the ideal implementation that helps you procure good grades.

Students can download the notes and study materials and use them as a reference during the preparation or revision process. Application of the Big Data Notes and Study Materials for CSE as sources of reference will help graduates get a better idea of the concepts and topics and elevate their grade sheet.

Here, are a list of a few essential notes for meticulous preparation of the Big Data in CSE course programmer-

  • B.Tech Big Data Analytics Reference Books and Lecture Notes pdf
  • Big Data Notes For CSE- Module 2- Hadoop Distributed File System Basics PDFs
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  • Big Data Notes For CSE- Module 5- Text Mining, naive Bayes Analysis, Support Vector Machine, Web Mining, and Social Network Analysis PDFs
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Big Data Notes For CSE Reference Books

Some of the best and most recommended books for reference in this article aim to amplify your preparation to make it more reliable and easy. The books help you to learn and master a lot and better about the subject. So, students can make use of the below-provided list of Best and Highly Recommended Big Data Books for CSE and revamp your knowledge and understanding to one-step ahead about the subject and score good and more marks in the test or examination.

  • The Data Warehouse Lifecycle Toolkit by Kimball et al., Wiley
  • An Introduction to Data Science
  • Hadoop in Practice by Alex Holmes, MANNING Publications
  • Applied Data Science by Daniel K and Ian L
  • Multidimensional Databases and Data Warehousing by Christian S. Jensen, Torben Bach Pedersen, Christian Thomsen, Morgan and Claypool Publishers
  • The 2015 Edition of Big Data Now published by O’Reilly
  • Hadoop in Action by Chuck Lam and MANNING Publications
  • Big Data on Real-World Applications by Sebastian, Alberto Cano and Jose M Luna
  • Data Warehouse Design: Modern Principles and Methodologies, Golfarelli and Rizzi, McGraw-Hill
  • Big Data on Real-World Applications by Jimmy Lin and Chris Dyer
  • Hadoop with Python by Zachary Radkta and Donald Miner
  • The Fourth edition of Big Java by Cay Horstmann, Wiley John Wiley and Sons, INC
  • The Third edition of Hadoop- The Definitive Guide by Tom White and O’Reilly Publications
  • R Programming for Data Science by Roger D Peng
  • Hadoop MapReduce Cookbook by Srinath Perera and Thilina Gunarathne
  • Understanding Big Data – The Analytics for Enterprise Class Hadoop and Streaming Data by Chris Eaton, George Lapis, Dirk Deroos, and Tom Deutsch
  • Advanced-Data Warehouse Design- From Conventional to Spatial and Temporal Applications by Elzbieta Malinowski and Esteban Zimányi
  • The Hadoop for Dummies by Dirk deRoos, Paul C.Zikopoulos, Roman B.Melnyk, Bruce Brown, and Rafael Coss
  • The Second edition of Data Warehouse Toolkit by Kimball and Ross

Big Data Notes For CSE Syllabus

To make your preparation effectual, graduates must have an outline and some idea of the Big Data Notes For CSE Syllabus. Acknowledging every student’s needs, we have provided an elaborated view of the Big Data Notes For CSE curriculum.

The course curriculum aims to give students a clear outline of what to study, and the unit-wise division of the syllabus lists every topic under each unit. Based on unit-wise division, students can allot time to each subject accordingly.

Students must ensure to cover all the essentials topics, programmings, and concepts before attempting the Big Data Notes For CSE exam so that the paper is accessible at the time of the exam. Graduates must remain aware of the Big Data Notes For CSE Syllabus as it prevents you from wasting unnecessary time on redundant topics.

The updated unit-wise breakup of the Big Data Notes For CSE Syllabus is as follows-

Unit Topics
UNIT I

Introduction to Big Data
  • Definition and Characteristic Features of Big Data and Applications
  • Traditional Date versus Big Data
  • Web Data and the evolution of Analytical Scalability
  • Modern Data Analytic Tools
  • Risks of Using Big Data
  • The Evolution of Analytic Processes, Methods, and Tools
  • Challenges of Conventional Systems
  • Big Data structure
UNIT II

Hadoop Framework
  • Hadoop YARN- The Matrix-Vector Multiplication, MapReduce Execution, and The Use of Algorithms through MapReduce
  • Distributed File Systems
  • The HDFS concepts- Largescale FileSystem Organisation
UNIT III

Data Analysis
  • Rule Mining
  • Predictive Analytics and Data Analysis Through the use of R
  • Statistical Methods using Multivariate Analysis and Regression Modelling
  • Cluster Analysis, Types of Data in Cluster Analysis, Hierarchical Methods, Partitioning Methods, Clustering High Dimensional Data Density-Based Methods, Grid-Based Methods, and Model-Based Clustering Methods
  • Classification of the Kernel and SVM Methods
UNIT-IV

Mining Data Streams
  • Applications of RTAP- Real-Time Analytics Platform
  • Stock Market Predictions and Real-Time Sentiment Analysis
  • Streams and Concepts inclusive of Stream Data Architecture and Model
  • Mining Time-Series data and Data Streams
  • A sampling of Data in a Stream
  • Case Studies
UNIT V

Big Data Frameworks
  • Introduction to NoSQL
  • Pig, Grunt, Developing and Testing Pig Latin Scripts, Pig Data Model, and Pig Latin
  • Aggregate Data Models
  • Hbase- The Implementations and Data Model, Hbase Clients, and Examples
  • Cassandra- Examples, Data Model, Cassandra Clients
  • Hadoop Integration
  • Hive- File Formats and Data Types
  • Definition of HiveQL Data, HiveQL Data Manipulation, and HiveQL Queries

List of Big Data Notes for CSE Important Questions

The list of the following questions is highly essential to study at the time of big data for CSE exam preparation or revision. Students can also refer to other review questions of big data for CSE from B.Tech Big Data Analytics Reference Books and Lecture Notes pdf available here in the modules above which provide details and concise information about the subject.

  1. Draw a neat labelled diagram and list the main characteristics of significant data architecture.
  2. Mention any two Application areas for Association Rules.
  3. Elucidate the use of Big Data in Business with real-world examples.
  4. Define Hadoop and Its role in Big Data Analysis. Also, mention the core components and the limitations of Hadoop.
  5. Please write a short note on the significance of Hadoop distributed file systems and its application.
  6. What is Naive Byes Theorem and briefly elucidate the Naive Byes classier?
  7. Write a short note on Data negativity and describe briefly about Hadoop input and output.
  8. Write a brief note on the Advantages of the Big data Approach over Traditional Data approach.
  9. List any four essential features of Virtualisation.
  10. Define Big Data Stack and explain the types of different Streams.

Recommended Reading On: Hadoop training material pdf

FAQs on Big Data Notes for CSE

Question 1. List of a few best Big Data Tools.

Answer:
A few of the best Big Data Tools are as follows-

  • Hadoop
  • Qubole
  • HPCC
  • Apache Storm
  • Statwing
  • Cassandra
  • MongoDB
  • CouchDB

Question 2. State a few day-to-day examples of Big data in our life.

Answer:
A few examples of the use of Big data on an everyday basis are-

  • Predictive Inventory Ordering
  • Discovering Consumer shopping habits
  • Mainstream Media Streaming
  • Live Road Mapping for Autonomous Vehicles

Question 3. Why is referring to Big Data Syllabus necessary?

Answer:
Reference of updated Big data Syllabus for CSE makes graduate’s preparation effective. It gives a basic outline and idea of all the essential topics and concepts falling under the Big Data Notes For CSE Syllabus. The course curriculum aims to provide students with a clear overview of what to study, and the unit-wise division of the syllabus lists every topic under each unit. Based on unit-wise division, students can allot time to each subject accordingly.

Question 4. Why is Big Data important for industries and organisations?

Answer:
Big Data helps several organisations and industries to create altogether new categories and new growth opportunities for companies to combine and analyse industry data. The organisations and companies hold ample information about all consumer preferences, products and services, and even buyers and suppliers that can be captured and analysed.

Conclusion

The information on Big Data Notes For CSE is the credible and authentic source and the list of reference books and study materials mentioned above focus to help graduates and upgrade their knowledge and understanding of the subject during the time of preparation or revision of the exam. Students can refer and practice from the provided Big Data Notes For CSE and various other Books, Study Materials, and Important Questions from this article.