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Big Data Analytics | By Raj Kamal & Preeti Saxena | 1st Edition | McGraw Hill Publication ( English Medium )

823-999
[Shipping Cost = Standard Mode, Expedite Mode]

Big Data Analytics | By Raj Kamal & Preeti Saxena | 1st Edition | McGraw Hill Publication ( English Medium ).


Book Description:


Big Data Analytics by Raj Kamal and Preeti Saxena is a foundational textbook that introduces students, professionals, and enthusiasts to the core concepts and technologies used in analyzing and interpreting massive datasets. It aligns with undergraduate and postgraduate data science, computer science, and IT curricula, offering a balanced mix of theory, architecture, tools, and hands-on learning.


The book thoroughly covers the big data ecosystem, including Hadoop, Spark, MapReduce, NoSQL databases, and various analytics techniques—ensuring a practical understanding of how data is managed, processed, and visualized in real-world applications.


Key Features:


Comprehensive Coverage – Concepts, tools, and architectures of big data ecosystems.


Industry-Aligned Tools – Detailed discussion on Hadoop, Hive, Pig, Spark, MongoDB, Cassandra, and more.


Data Lifecycle & Storage – Covers data ingestion, processing, and distributed storage.


Analytics Techniques – Batch, real-time, and predictive analytics explained with examples.


Programming Support – Introduction to Python and R for data handling and visualization.


Visualization & BI Tools – Use of Tableau, Power BI, and basic data dashboards.


Case Studies & Applications – Application of big data in e-commerce, health, transport, etc.


End-of-Chapter Exercises – Concept-based and application-oriented questions.


Mapped to AICTE Curriculum – Suitable for B.Tech, MCA, and PG courses.


GATE/Data Science Ready – Provides solid conceptual foundation for advanced studies and exams.


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Product Details
SKU / BOOK Code: McGraw-Big-Data-Ana-(E)
Publisher: McGraw Hill Publication
Author:
Binding Type: Paperback
No. of Pages: 542
ISBN-10: 9353164966
ISBN-13: 978-9353164966
Edition: 1st Edition
Language: English Medium
Publish Year: 2025-06
Weight (g): 2700
Product Condition: New
Reading Age: Above 10 Years
Country of Origin: India
Genre: Textbooks & Study Guides
Manufacturer: McGraw Hill Publication
Importer: McGraw Hill Publication
Packer: Fullfilled by Supplier
Product Description

Big Data Analytics | By Raj Kamal & Preeti Saxena | 1st Edition | McGraw Hill Publication ( English Medium ).


Book Description:


Big Data Analytics by Raj Kamal and Preeti Saxena is a foundational textbook that introduces students, professionals, and enthusiasts to the core concepts and technologies used in analyzing and interpreting massive datasets. It aligns with undergraduate and postgraduate data science, computer science, and IT curricula, offering a balanced mix of theory, architecture, tools, and hands-on learning.


The book thoroughly covers the big data ecosystem, including Hadoop, Spark, MapReduce, NoSQL databases, and various analytics techniques—ensuring a practical understanding of how data is managed, processed, and visualized in real-world applications.


Key Features:


Comprehensive Coverage – Concepts, tools, and architectures of big data ecosystems.


Industry-Aligned Tools – Detailed discussion on Hadoop, Hive, Pig, Spark, MongoDB, Cassandra, and more.


Data Lifecycle & Storage – Covers data ingestion, processing, and distributed storage.


Analytics Techniques – Batch, real-time, and predictive analytics explained with examples.


Programming Support – Introduction to Python and R for data handling and visualization.


Visualization & BI Tools – Use of Tableau, Power BI, and basic data dashboards.


Case Studies & Applications – Application of big data in e-commerce, health, transport, etc.


End-of-Chapter Exercises – Concept-based and application-oriented questions.


Mapped to AICTE Curriculum – Suitable for B.Tech, MCA, and PG courses.


GATE/Data Science Ready – Provides solid conceptual foundation for advanced studies and exams.


Search Key - Big Data Analytics Raj Kamal summary, , Raj Kamal Preeti Saxena Hadoop concepts, , Big data ecosystem explained Raj Kamal, , MapReduce simplified Raj Kamal book, , Spark vs Hadoop Raj Kamal, , Hive and Pig usage Raj Kamal, , MongoDB concepts Raj Kamal Big Data, , Big Data analytics case studies, , Batch processing vs stream processing, , Distributed file systems Raj Kamal, , HDFS architecture Raj Kamal, , Data visualization tools Big Data, , Tableau basics Raj Kamal, , Raj Kamal Big Data question bank, , Python for big data Raj Kamal, , Preeti Saxena NoSQL explained, , Real-time analytics book Raj Kamal, , Big Data in e-commerce applications, , Big Data Hadoop exam preparation, , Raj Kamal big data programming examples, , Analytics lifecycle Big Data Raj Kamal, , Predictive analytics explained Raj Kamal, , Big Data tutorial Indian universities, , AICTE syllabus big data analytics, , Power BI for beginners Raj Kamal, , Structured vs unstructured data, , Data preprocessing techniques, , Spark architecture explained, , Big Data MCQs Raj Kamal, , Hadoop tools overview for students, , Language ‏ : ‎ English, Paperback ‏ : ‎ 542 pages, ISBN-10 ‏ : ‎ 9353164966, ISBN-13 ‏ : ‎ 978-9353164966.

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