Hadoop Operations
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Hadoop Operations
Author: Eric Sammer
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2012-10-09
For system administrators tasked with the job of maintaining large and complex Hadoop clusters, this book explains the particulars of Hadoop operations, from planning, installing, and configuring the system to providing ongoing maintenance.
Applied Big Data Analytics in Operations Management
Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.
HBase Configuration and Operations
"HBase Configuration and Operations" "HBase Configuration and Operations" is an authoritative guide designed for architects, administrators, and data engineers who seek a comprehensive understanding of Apache HBase in enterprise environments. Beginning with a thorough examination of HBase’s foundational architecture—including its unique data model, storage mechanisms, and integration within the Hadoop ecosystem—the book delivers an exceptional foundation in both the theoretical underpinnings and practical components of this powerful NoSQL database. Readers will gain an intricate appreciation of cluster design, region management, consistency models, and the critical interplay between HBase, HDFS, and ZooKeeper. Moving beyond architecture, the book navigates every stage of HBase deployment and operation. It explores hardware sizing, cluster bootstrap, and deployment strategies across bare-metal, virtualized, and cloud platforms. Detailed chapters guide professionals through advanced configuration management, tailored schema and row key design, and workload-specific optimization. Readers benefit from battle-tested best practices for monitoring, troubleshooting, automated recovery, backup, and capacity planning, ensuring resilient and scalable operations for real-world big data applications. Security, compliance, and integration take center stage as the book outlines robust authentication, fine-grained authorization, network hardening, and encryption strategies. Practical coverage extends to backup and disaster recovery, managed platforms, and emerging trends such as serverless HBase and cross-data center replication. With in-depth references to modern analytics integrations (e.g., Spark, Flink, Kafka) and a future-oriented outlook, "HBase Configuration and Operations" is an indispensable manual for both seasoned professionals and those aiming to master large-scale HBase deployments.