*Hadoop Basics* is a comprehensive guide to understanding Hadoop, a powerful framework for processing large-scale data. The book begins by introducing Hadoop's core components: the Hadoop Distributed File System (HDFS) and MapReduce, which together enable scalable and fault-tolerant data storage and processing. It explains the architecture of Hadoop, including the master-slave model where the NameNode manages metadata and DataNodes store actual data. The book covers setting up Hadoop clusters in both pseudo-distributed and fully distributed modes. It also delves into key Hadoop ecosystem...

The textbook on Map Reduce provides a comprehensive exploration of the MapReduce programming model, designed for processing and generating large datasets with a distributed algorithm on a cluster of computers. It details the MapReduce framework's architecture, including the map and reduce functions, and explains how these functions handle data transformation and aggregation. The book covers fundamental concepts such as data partitioning, fault tolerance, and parallel processing. It also delves into optimization techniques to improve performance and efficiency. Practical examples and case...

The introductory book on cybersecurity offers a comprehensive overview of the fundamental principles and practices essential for protecting digital information and systems. It explores core concepts such as confidentiality, integrity, and availability, and introduces key cybersecurity frameworks and standards. The book covers various types of threats and vulnerabilities, including malware, phishing, and insider attacks, and discusses strategies for risk assessment and mitigation. It delves into critical areas like network security, encryption, authentication, and incident response....

The book on Big Data Storage provides an in-depth exploration of the various technologies and methodologies used for storing and managing large-scale datasets. It covers the fundamentals of big data storage, including the architecture and principles of distributed file systems like HDFS and cloud-based storage solutions. The book delves into data modeling techniques, storage optimization strategies, and the challenges associated with scaling storage systems to accommodate growing data volumes. It also examines the integration of storage systems with big data processing frameworks such as...