B.Tech Big Data Analytics Books & Study Materials Pdf Download | List of Best Reference Books for Big Data & Data Analytics (2022)

Big Data Analytics Notes & Study Materials Pdf Download links for B.Tech Students are available here. Candidates who are pursuing Btech degree should refer to this page till to an end. Here, you can get Big Data Analytics Books Pdf Download links along with more details that are required for your effective exam preparation.

Big Data Analytics Study Materials, list of Important Questions, Big Data Analytics Syllabus, Best Recommended Books for Big Data Analytics are also available in the below modules along with the Big Data & Data Analytics Lecture Notes Download links in Pdf format. So, click on the below links and directly jump to the required info about Data Analytics & Big Data Books in PDF.

  • Big Data Analytics Syllabus for IIT Students
  • List of Big Data Analytics Important Questions
  • FAQs on B.Tech CSE Big Data Analytics Subject Books

Big Data Analytics Lecture Notes PDF Free Download

Introduction to Big Data Analytics:

Data Analytics is the science of examining data to transform data into valuable insight. This information could aid us to realize our world entirely, and in various circumstances allow us to make healthier choices. While this is the large and ambitious objective, the last 20 years have seen abruptly reducing prices to collect, store, and process data, creating an equivalent more powerful urge for the use of empirical strategies to problem-solving.

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This course endeavors to offer you with a wide range of data analytic methods and is structured around the broad outlines of the different types of data analytics, namely, descriptive, inferential, predictive, and prescriptive analytics. If you want to know more interesting knowledge about the course, just click on the below download links of Big Data Analytics Books & Lecture Notes pdf and gain a complete concept of it.

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Download Links of Big Data & Data Analytics Books Pdf

Books & NotesDownload Links
Big Data Analytics Syllabus PDFDownload
Best Data Analytics & Big Data Books for BeginnersDownload
Big Data Analytics Lecture Notes PDFDownload
Big Data & Data Analytics Question Paper PDFDownload

Big Data Analytics Reference Books List

Best Suggested Books can make your preparation more strong and helps you to learn a lot about the subject. So, make use of this below-provided list of Best Big Data Analytics Recommended Books and improve your knowledge to the other level about the subject to score more marks in the examination.

  • The Data Warehouse Lifecycle Toolkit, Kimball et al., Wiley 1998
  • Hadoop in Practice by Alex Holmes, MANNING Publ.
  • Multidimensional Databases and Data Warehousing, Christian S. Jensen, Torben Bach Pedersen, Christian Thomsen, Morgan & Claypool Publishers, 2010
  • Hadoop in Action by Chuck Lam, MANNING Publ.
  • Data Warehouse Design: Modern Principles and Methodologies, Golfarelli and Rizzi, McGraw-Hill, 2009
  • Big Java 4th Edition, Cay Horstmann, Wiley John Wiley & Sons, INC
  • Advanced-Data Warehouse Design: From Conventional to Spatial and Temporal Applications, Elzbieta Malinowski, Esteban Zimányi, Springer, 2008
  • The Data Warehouse Toolkit, 2nd Ed., Kimball and Ross, Wiley, 2002
  • Hadoop: The Definitive Guide by Tom White, 3rd Edition, O’Reilly
  • The Hadoop for Dummies by Dirk deRoos, Paul C.Zikopoulos, Roman B.Melnyk, Bruce Brown, Rafael Coss
  • Hadoop MapReduce Cookbook, Srinath Perera, Thilina Gunarathne

Big Data Analytics Syllabus for IIT Students

Below is the latest Syllabus of Big Data Analytics provided for all B.Tech and IIT students to cover all the topics while exam preparation.


  • Introducing Java concepts required for developing map-reduce programs
  • Optimize business decisions and create a competitive advantage with Big Data analytics
  • Derive business benefit from unstructured data
  • Imparting the architectural concepts of Hadoop and introducing the map-reduce paradigm
  • To introduce programming tools PIG & HIVE in Hadoop echo system.


Data Structures in Java: Linked List, Stacks, Queues, Sets, Maps; Generics: Generic classes and Type parameters, Implementing Generic Types, Generic Methods, Wrapper Classes, Concept of Serialization


Working with Big Data: Google File System, Hadoop Distributed File System (HDFS) – Building blocks of Hadoop (Namenode, Datanode, Secondary Namenode, Job Tracker, Task Tracker), Introducing and Configuring Hadoop cluster (Local, Pseudo-distributed mode, Fully Distributed mode), Configuring XML files.


Writing MapReduce Programs: A Weather Dataset, Understanding Hadoop API for MapReduce Framework (Old and New), Basic programs of Hadoop MapReduce: Driver code, Mapper code, Reducer code, Record Reader, Combiner, Partitioner

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Hadoop I/O: The Writable Interface, Writable Comparable, and comparators, Writable Classes: Writable wrappers for Java primitives, Text, Bytes Writable, Null Writable, Object Writable and Generic Writable, Writable collections, Implementing a Custom Writable: Implementing a Raw Comparator for speed, Custom comparators


Pig: Hadoop Programming Made Easier Admiring the Pig Architecture, Going with the Pig Latin Application Flow, Working through the ABCs of Pig Latin, Evaluating Local and Distributed Modes of Running Pig Scripts, Checking out the Pig Script Interfaces, Scripting with Pig Latin


Applying Structure to Hadoop Data with Hive: Saying Hello to Hive, Seeing How the Hive is Put Together, Getting Started with Apache Hive, Examining the Hive Clients, Working with Hive Data Types, Creating and Managing Databases and Tables, Seeing How the Hive Data Manipulation Language Works, Querying and Analyzing Data.

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List of B.Tech & IIT Big Data Analytics Review Questions

The following questions are very important to study at the time of big data analytics exam preparation. You can also find more review questions of big data and data analytics from B.Tech Big Data Analytics Reference Books & Lecture Notes pdf which are available here in the above modules.

  1. Describe in brief about PIG Commands?
  2. Define Wrapper Class? Explain in brief about writable wrappers for java primitives.
  3. Explain with an example, how Hadoop uses the Scale-out feature to improve the performance?
  4. Differentiate between Array List and class linked list functionalities.
  5. Discuss in brief about the implementation of the map-reduce concept with a suitable example.
  6. What are the modes that a Hadoop can run?
  7. Describe in brief about API for the Map-reduce framework.
  8. What are Object writable and Generic writable?
  9. Discuss in brief about running a pig script in local and distributed mode.
  10. Discuss in brief about the building blocks of Hadoop?

FAQs on B.Tech CSE Big Data and Data Analytics Courses Books

1. What is Big Data Analytics and Example?

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Big Data Analytics is the method of collecting, organizing and analyzing large sets of data (called Big Data) to identify patterns and other helpful information. Analysts working with Big Data usually require the knowledge that originates from analyzing the data. Some examples of enterprises that use big data analytics involve public service agencies, the hospitality industry, healthcare companies, and retail businesses.

2. How does Big Data Analytics work?

Big Data Analytics works like analyzing the large sets of data through different tools and processes to find out unique patterns, hidden correlations, meaningful trends, and other insights for creating data-driven decisions in the pursuance of better results.

3. Which is the best big data tool?

The following are the Best Big Data Tools and Software:

  • Apache Storm.
  • Hadoop.
  • MongoDB.
  • Quoble.
  • Cassandra.
  • CouchDB.
  • HPCC.
  • Statwing.

4. Which tool is best for data analytics?

The following list is the Top Data Analytics Tools available in both open-source and paid versions, which depends on their popularity, learning, and performance.

  • SAS
  • QlikView
  • R Programming
  • Tableau Public
  • RapidMiner
  • Excel
  • Apache Spark
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5. Why is Big Data Analytics important?

Big data analytics helps organizations control their data and use it to identify new chances. That, in turn, drives to smarter business moves, more efficient operations, higher profits, and happier clients.

6. Which is the best book for Big Data Analytics Subject?

Here are the 6 best Big Data Analytics Books & Notes, important for the students to secure max. marks in the semester exam:

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  1. Big Java 4th Edition, Cay Horstmann, Wiley John Wiley & Sons, INC
  2. Hadoop – The Definitive Guide by Tom White.
  3. Hadoop for Dummies by Dirk Deroos.
  4. Map Reduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop
  5. Hadoop by Donald Miner.
  6. Hadoop Operations by Eric Sammers.


I hope the data shared above regarding Big Data Analytics B.Tech subject Notes & Books Pdf is very helpful for the students who are passionate to learn about the subject in depth. Also, you can find more details like syllabus, review questions, best reference books, etc. along with Big Data Analytics Lecture Notes Pdf Download links.

So, refer to this article completely & Download Big Data Analytics Books in Pdf. Moreover, share this article with your friends and help them during their exam preparation. Bookmark our site Ncertbooks.guru and get more details about the same & other related info on courses, syllabus, exams.


How do I prepare for big data analytics? ›

7 Simple Steps to Prepare for Big Data
  1. Understand your data sources & the types of data you're creating. ...
  2. Make sure you have an infrastructure that can support big data. ...
  3. Understand how to store and process big data. ...
  4. Data analytics is only a part of the entire solution. ...
  5. Leverage cloud.
30 Mar 2021

What is B Tech in big data analytics? ›

B. Tech in Big Data Analytics is a 4-year engineering undergraduate degree course. The primary objective of this program is to provide instruction for enrolled students about current and emerging Big Data-related techniques and theories, including statistics, data mining, data storage, and data visualization.

Which course is best for data analytics? ›

TL;DR Best Data Analytics courses for 2022
RankCourse TitlePlatform
1Google Data Analytics Professional CertificateCoursera
2Become a Data AnalystLinkedin Learning
3Excel Skills for Data Analytics and Visualization SpecializationCoursera
4Data Analyst in RDataquest
1 more row

What is big data analytics PDF? ›

Big data analytics refers to the method of analyzing huge volumes of data, or big data. The big data is collected from a large assortment of sources, such as social networks, videos, digital images, and sensors.

What is the salary for a big data engineer? ›

An entry-level Big Data Engineer's salary is around ₹466,265 annually. An early-career Big Data Engineer or a Junior Big Data Engineer's salary (1–4 years of experience) is an average of ₹722,721 p.a. A mid-career Big Data Engineer or Lead Big Data Engineer salary (5–9 years of experience) is ₹1,264,555 per year.

Does big data have coding? ›

Learning how to code is an essential skill in the Big Data analyst's arsenal. You need to code to conduct numerical and statistical analysis with massive data sets. Some of the languages you should invest time and money in learning are Python, R, Java, and C++ among others.

What is the average salary of big data analyst in India? ›

Very High Confidence means the data is based on a large number of responses. Big Data Analyst salary in India ranges between ₹ 3.4 Lakhs to ₹ 18.3 Lakhs with an average annual salary of ₹ 7.3 Lakhs.

What is the salary of big data engineer in India per month? ›

Frequently Asked Questions about Big Data Engineer Salaries

Average salary for a Big Data Engineer in India is 8.7 Lakhs per year (₹72.5k per month). Salary estimates are based on 2791 salaries received from various Big Data Engineers across industries.

Which IIT is best for Data Science? ›

IIT Madras, IIT Guwahati, IIT Hyderabad, IIT Mandi, IIT Bombay, IIT Kharagpur, and IIT Kanpur are offering Data Science courses while the other IITs are offering certificate programmes in Data Science. Let's take a look at the top IITs and NITs offering data science courses in 2022.

Can I become data analyst in 3 months? ›

Can I become data analyst in 3 months? Ans: Make the most of your three months and learn everything you can. Because time is limited, the emphasis should be on learning Excel, SQL, R/ Python, Tableau/ PowerBI, and ML if time allows. Investing your time in projects will also give you an advantage when applying for jobs.

Do we have coding in data analytics? ›

The role requirements for data analysts are as follows:

They aren't, on the other hand, required to have an advanced degree. Data analysts are also not required to have advanced coding skills. Instead, they should have experience using analytics software, data visualization software, and data management programs.

Is data analyst a good career? ›

Skilled data analysts are some of the most sought-after professionals in the world. Because the demand is so strong, and the supply of people who can truly do this job well is so limited, data analysts command huge salaries and excellent perks, even at the entry-level.

What is big data ppt PDF? ›

Big Data Seminar and PPT with pdf Report: Big data is a term used for the complex data sets as the traditional data processing mechanisms are inadequate. The challenges of big data include Analysis, Capture, Data curation, Search, Sharing, Storage, Storage, Transfer, Visualization, and The privacy of information.

What are the 4 Vs of big data? ›

To gain more insight into Big Data, IBM devised the system of the four Vs. These Vs stand for the four dimensions of Big Data: Volume, Velocity, Variety and Veracity.

What is big data notes? ›

What exactly is big data? The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs. Put simply, big data is larger, more complex data sets, especially from new data sources.

Which IT field has highest salary? ›

Here are some of the highest paying IT jobs in 2022:
  • Data Scientist.
  • Internet of Things (IoT) Solutions Architect.
  • Big Data Engineer.
  • Software Architect.
  • Blockchain Engineer.
  • DevOps Engineer.
  • Cloud Architect.
  • Full-Stack Developer.
22 Sept 2022

Can fresher get job in big data? ›

But yes, it is possible for a fresher to get a Job as Big Data Engineer if he/she has good knowledge and skills about big data/ Hadoop.

Who Is Highest Paid big data engineer? ›

Highest reported salary offered as Big Data Engineer is ₹35lakhs. The top 10% of employees earn more than ₹23lakhs per year. The top 1% earn more than a whopping ₹34lakhs per year.

Which language is best for big data analytics? ›

Here are some of the top 6 programming languages that are ideal to use for big data projects in 2022:
  1. Python. One of the trending programming languages, Python is ideal to use for big data projects in 2022. ...
  2. Java. To integrate projects with enterprise tools, big data projects can be created by Java too. ...
  3. C++ ...
  4. R. ...
  5. Scala. ...
  6. SQL.
7 Feb 2022

Is Python good for big data? ›

Python is considered as one of the best data science tool for the big data job. Python and big data are the perfect fit when there is a need for integration between data analysis and web apps or statistical code with the production database.

Is data analyst an IT job? ›

A data analyst is an IT Job. IT jobs typically involve the use of computing technology. Data analysts use programming languages and databases in computing technology for business insight. However, data analysts work only with software and do not handle hardware computer IT support.

What is the minimum salary of data analyst in India? ›

An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around ₹610,811 per annum. A mid-level data scientist with 5 to 9 years experience earns ₹1,004,082 per annum in India.

What is data analyst job salary? ›

Data Analyst salary in India ranges between ₹ 1.9 Lakhs to ₹ 11.5 Lakhs with an average annual salary of ₹ 4.3 Lakhs. Salary estimates are based on 41k salaries received from Data Analysts.

How can I become a successful big data engineer? ›

Many people who become big data engineers have bachelor's and master's degrees in a related field such as computer science, statistics, or business data analytics. Big data engineers need to be masters of coding, statistics, and data. Most companies require a bachelor's degree for big data engineer positions.

Is big data engineer hard? ›

Lappas says, "The job is very difficult. It's an unsexy job, but it's super-critical. Data engineers are kind of like the unsung heroes of the data world. Their job is incredibly complex, involving new skills and new tech.

Which company pays highest for data engineer in India? ›

BFSI pays the highest salary to Data Engineers with a median salary of 19.4 Lakhs per annum, followed by Retail & Consumer Goods (16.9 Lakhs) and Healthcare (15.5 Lakhs). Bangalore pays its Data Engineers the highest median salary of 13.7 Lakhs per annum.

Which IIT is best for big data engineering? ›

IIT Guwahati

It is designed to train students holistically, focusing on relevant courses from other disciplines like computer science, electronics and electrical engineering, Mathematics and Statistics, the institute said.

Who is the father of Data Science? ›

1. Geoffrey Hinton. Geoffrey Hilton is called the Godfather of Deep Learning in the field of data science.

Which IIT offers btech in Data Science? ›

JEE Advanced 2022 Result Declared

Indian Institute of Technology (IIT) Mandi has become the first IIT to launch a full-fledged Bachelor's Programme in Data Science and Engineering (B Tech in Data Science).

Can I become data analyst in 1 year? ›

Learning a Programming Language

People from various backgrounds especially with zero coding experiences have proven to become good data scientists in just one year by learning to code smartly.

Can I become a data analyst in 6 months? ›

With the right program, you can obtain your Tableau certification in just 6 months. While working through your Tableau course, we also recommend studying SQL. This common programming language is an essential skill for data analysts and is easy to learn.

DO data analyst work from home? ›

Data analysts can work from home. Data Analysts work mainly with data analytics software or tools that are on their computers. This means that most of the work that is done on these computers can be brought home and worked on through laptops with a secure VPN connection.

Can I learn data analytics without coding? ›

Yes, it is possible to become a Data Analyst without having any coding skills. All that is required is good statistical knowledge, a firm grip on Mathematical formulae, and impressive communication skills.

Which IT job does not require coding? ›

You can choose to switch from a non-technical field to a technical job at any time in your career. Tech roles like business analyst, project manager, and market research analyst are some of the examples of non-coding jobs in the IT sector.

Does data analyst have future? ›

The data analytics industry is projected to create over 11 million jobs by 2026 and increase investments in AI and machine learning by 33.49% in 2022 alone.

Is data analyst a stressful job? ›

Yes, being a data analyst can be very stressful, but this heavily depends on your employer, the company's culture, and what causes stress for you personally.

Are data analysts in demand 2022? ›

Wherever there is data, there is a need for data analysts. So, to answer the question: Data analysts are very much in demand in 2022, and will continue to be for the foreseeable future. Great news for anyone considering a career change!

Can a fresher become data analyst? ›

The answer is yes. One can become a data analyst with no job experience. A fresher can become a data analyst if he/she learns the tricks of the trade and work on honing the required skills.

What is the eligibility for data analyst? ›

To become a data analyst, candidates need to hold a bachelor's degree preferrably in Information Technology, Computer Science, Maths, or Statistics with a minimum of 50% marks from any recognized University.

What are courses in data analysis? ›

The Data Analyst course online will train you on statistics essentials, SQL basics, data science, and data visualization using R and Python, Business Analytics with Excel, Power BI, and Data Visualization with Tableau Desktop 10.

What are skills required for data analyst? ›

While data analysts should have a foundational knowledge of statistics and mathematics, much of their work can be done without complex mathematics. Generally, though, data analysts should have a grasp of statistics, linear algebra, and calculus.

Is data analyst hard? ›

Data analysis is neither a “hard” nor “soft” skill but is instead a process that involves a combination of both. Some of the technical skills that a data analyst must know include programming languages like Python, database tools like Excel, and data visualization tools like Tableau.


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