Hadoop Operations
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Hadoop Operations
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Author : Eric Sammer
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-10-09
Hadoop Operations written by Eric Sammer and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-09 with Computers categories.
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
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Author : Kumar, Manish
language : en
Publisher: IGI Global
Release Date : 2016-09-30
Applied Big Data Analytics In Operations Management written by Kumar, Manish and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-30 with Business & Economics categories.
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
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-13
Hbase Configuration And Operations written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.
"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.
Advances In Spatial And Temporal Databases
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Author : Michael Gertz
language : en
Publisher: Springer
Release Date : 2017-08-07
Advances In Spatial And Temporal Databases written by Michael Gertz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Computers categories.
This book constitutes the refereed proceedings of the 15th International Symposium on Spatial and Temporal Databases, SSTD 2017, held in Arlington, VA, USA, in August 2017.The 19 full papers presented together with 8 demo papers and 5 vision papers were carefully reviewed and selected from 90 submissions. The papers are organized around the current research on concepts, tools, and techniques related to spatial and temporal databases.
Disruptive Analytics
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Author : Thomas W. Dinsmore
language : en
Publisher: Apress
Release Date : 2016-08-27
Disruptive Analytics written by Thomas W. Dinsmore and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Computers categories.
Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.
Data Science On The Google Cloud Platform
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Author : Valliappa Lakshmanan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-03-29
Data Science On The Google Cloud Platform written by Valliappa Lakshmanan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-29 with Computers categories.
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way. You'll learn how to: Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines
Harnessing Cloud Computing To Redefine Banking It Operations For Scalable And Secure Systems
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Author : Sapana Garud
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-02-18
Harnessing Cloud Computing To Redefine Banking It Operations For Scalable And Secure Systems written by Sapana Garud and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Computers categories.
The growth of high-speed networks and computing power is making possible to process different banking services or applications in microseconds undreamed of in the past. These rapid explosions of technology are changing the banking industries from paper and branch banks to digitized and networked banking services (Wakeham, 2010). Delivering banking services on this networked environment are more convenient and effective than ever before. Expanding the geographical coverage of digitized and networked banking services are the mainstreams for banks to deliver QoS to customers (NBE, 2012). In developing countries, the cost of expanding the geographical coverage of digitized and networked banking services to customers would be difficult for a single bank. In this environment, banks would start to collaborate to pool non-differentiated activities using private cloud computing within a closed group of banks in a similar way to telecommunication sharing network infrastructure (Sardet, 2012). These bundling could provide shared services that interact with customers in more engaging ways while simultaneously freeing banks from the burden of routine transactions. Thus, when the transaction volumes decline this collaboration could enables banks to stop duplicating investment, industrialize their security processes for economies of scale, gain new service options and have immediate access to the latest apps. These collaborative private clouds could even be hybrid cloud powered by a third-party, increasing the benefits of cost and flexibility (Sardet, 2012).
R Programming And Big Data Analytics
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-03-10
R Programming And Big Data Analytics written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-10 with Computers categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Information Granularity Big Data And Computational Intelligence
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Author : Witold Pedrycz
language : en
Publisher: Springer
Release Date : 2014-07-14
Information Granularity Big Data And Computational Intelligence written by Witold Pedrycz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-14 with Technology & Engineering categories.
The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data analysis. The 3V (volume, variability and velocity) challenges led to the emergence of new techniques and tools in data visualization, acquisition, and serialization. Soft Computing being regarded as a plethora of technologies of fuzzy sets (or Granular Computing), neurocomputing and evolutionary optimization brings forward a number of unique features that might be instrumental to the development of concepts and algorithms to deal with big data. This carefully edited volume provides the reader with an updated, in-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of researchers and practitioners including those active in various disciplines in which big data, their analysis and optimization are of genuine relevance. One focal point is the systematic exposure of the concepts, design methodology, and detailed algorithms. In general, the volume adheres to the top-down strategy starting with the concepts and motivation and then proceeding with the detailed design that materializes in specific algorithms and representative applications. The material is self-contained and provides the reader with all necessary prerequisites and augments some parts with a step-by-step explanation of more advanced concepts supported by a significant amount of illustrative numeric material and some application scenarios to motivate the reader and make some abstract concepts more tangible.
Intelligent Decision Technologies 2017
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Author : Ireneusz Czarnowski
language : en
Publisher: Springer
Release Date : 2017-05-24
Intelligent Decision Technologies 2017 written by Ireneusz Czarnowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-24 with Technology & Engineering categories.
The volume presents a collection of peer-reviewed articles from the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT-17), held in Vilamoura, Algarve, Portugal on 21–23 June 2017. The conference addressed critical areas of computer science, as well as promoting knowledge transfer and the generation of new ideas in the field of intelligent decision making, project management and data analysis. The range of topics addressed includes methods of classification, prediction, data analysis, decision support, modeling, social media and many more in such diverse areas as finance, linguistics, management and transportation.