Efficient Data Processing With Apache Pig
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Efficient Data Processing With Apache Pig
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-17
Efficient Data Processing With Apache Pig 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 2025-06-17 with Computers categories.
"Efficient Data Processing with Apache Pig" Efficient Data Processing with Apache Pig is the definitive guide to mastering high-performance data transformation and pipeline design in today’s complex big data landscape. The book opens with a thorough examination of Apache Pig’s evolution, architectural foundations, and its crucial role within distributed data ecosystems. Readers gain a strategic perspective on where Pig excels compared to frameworks like MapReduce, Hive, and Spark, alongside practical guidance for deploying robust, enterprise-grade environments that prioritize scalability, multi-tenancy, and production resilience. Spanning fundamental data modeling practices, advanced Pig Latin techniques, and deep dives into resource optimization, this book is tailored for engineers, architects, and data professionals seeking practical strategies for building efficient, reliable pipelines. Each chapter balances conceptual clarity with technical depth—exploring schema evolution, advanced joins, aggregation patterns, modular scripting, and the intricacies of performance tuning. Readers also benefit from comprehensive coverage of extending Pig with custom UDFs, integrating with external data sources, and the nuances of workflow orchestration across Oozie, Airflow, and cloud-native platforms. The book moves beyond code and configuration, addressing critical considerations in security, compliance, and data governance—from authentication and encryption to auditing and lifecycle management. It concludes with actionable frameworks for migration, modernization, and hybrid architectures, coupled with future-focused discussions on AI integration, the evolving open-source ecosystem, and innovative real-world use cases at scale. Efficient Data Processing with Apache Pig is both a practical reference and an indispensable roadmap for leveraging Pig to its full potential in modern data environments.
Programming Pig
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Author : Alan Gates
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-10-06
Programming Pig written by Alan Gates 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 2011-10-06 with Computers categories.
This guide is an ideal learning tool and reference for Apache Pig, the programming language that helps programmers describe and run large data projects on Hadoop. With Pig, they can analyze data without having to create a full-fledged application--making it easy for them to experiment with new data sets.
Insights Of Big Data Science
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Author : Dr. Tryambak Hiwarkar
language : en
Publisher: Perfect Writer Publishing
Release Date : 2025-02-14
Insights Of Big Data Science written by Dr. Tryambak Hiwarkar and has been published by Perfect Writer Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Education categories.
I would like to express my heartfelt gratitude to my beloved wife, Dr. Sunita Hiwarkar, Vice Principal of DRB Sindhu Mahavidyalaya, Nagpur, for her unwavering support and motivation throughout this journey. I am deeply indebted to Dr. Sandeep Pachpande, Chairman of ASM Group of Institutions, for his visionary leadership and commitment to academic excellence, which laid the foundation for this work. My sincere thanks also go to Dr. Asha Pachpande, Secretary of ASM Group of Institutions, for her invaluable mentorship and encouragement. I extend my appreciation to Dr. Priti Pachpande, Trustee of ASM Group of Institutions, for her strategic vision and support in realizing this academic endeavor. I am grateful to Dr. V.P. Pawar, Director of MCA, ASM Group of Institutions, for his counsel and academic guidance. I would also like to thank Dr. Daniel Penkar, Group Dean of IBMR, for fostering an environment of academic rigor, and Dr. Hansraj Thorat, Professor and Research Head at IBMR, for his unwavering support and intellectual rigor. Lastly, I express my gratitude to all the members of the academic community at ASM Group of Institutions and IBMR for their collective contributions, which made this work possible. Dr.Sandeep Pachpande, Chairman, ASM Group of institutions,Dr.Asha Pachpande madam, Secretary ASM group of institutions Chinchwad Pune,Dr.Priti Pachpande, Trustee,ASM Group of institutions,Dr.V.P.Pawar, Director MCA, ASM group, Dr. Daniel Penkar, Group Dean ,IBMR ,Dr. Hansraj Thorat , Professor and Research Head, IBMR.
Programming Big Data Applications Scalable Tools And Frameworks For Your Needs
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Author : Domenico Talia
language : en
Publisher: World Scientific
Release Date : 2024-05-03
Programming Big Data Applications Scalable Tools And Frameworks For Your Needs written by Domenico Talia and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-03 with Computers categories.
In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security cameras. These data, commonly referred to as big data, are challenging current storage, processing and analysis capabilities. New models, languages, systems and algorithms continue to be developed to effectively collect, store, analyze and learn from big data.Programming Big Data Applications introduces and discusses models, programming frameworks and algorithms to process and analyze large amounts of data. In particular, the book provides an in-depth description of the properties and mechanisms of the main programming paradigms for big data analysis, including MapReduce, workflow, BSP, message passing, and SQL-like. Through programming examples it also describes the most used frameworks for big data analysis like Hadoop, Spark, MPI, Hive and Storm. Each of the different systems is discussed and compared, highlighting their main features, their diffusion (both within their community of developers and among users), and their main advantages and disadvantages in implementing big data analysis applications.
Big Data Analytics With Microsoft Hdinsight In 24 Hours Sams Teach Yourself
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Author : Manpreet Singh
language : en
Publisher: Sams Publishing
Release Date : 2015-11-12
Big Data Analytics With Microsoft Hdinsight In 24 Hours Sams Teach Yourself written by Manpreet Singh and has been published by Sams Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-12 with Computers categories.
Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours In just 24 lessons of one hour or less, Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours helps you leverage Hadoop’s power on a flexible, scalable cloud platform using Microsoft’s newest business intelligence, visualization, and productivity tools. This book’s straightforward, step-by-step approach shows you how to provision, configure, monitor, and troubleshoot HDInsight and use Hadoop cloud services to solve real analytics problems. You’ll gain more of Hadoop’s benefits, with less complexity–even if you’re completely new to Big Data analytics. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Practical, hands-on examples show you how to apply what you learn Quizzes and exercises help you test your knowledge and stretch your skills Notes and tips point out shortcuts and solutions Learn how to... · Master core Big Data and NoSQL concepts, value propositions, and use cases · Work with key Hadoop features, such as HDFS2 and YARN · Quickly install, configure, and monitor Hadoop (HDInsight) clusters in the cloud · Automate provisioning, customize clusters, install additional Hadoop projects, and administer clusters · Integrate, analyze, and report with Microsoft BI and Power BI · Automate workflows for data transformation, integration, and other tasks · Use Apache HBase on HDInsight · Use Sqoop or SSIS to move data to or from HDInsight · Perform R-based statistical computing on HDInsight datasets · Accelerate analytics with Apache Spark · Run real-time analytics on high-velocity data streams · Write MapReduce, Hive, and Pig programs Register your book at informit.com/register for convenient access to downloads, updates, and corrections as they become available.
Artificial Intelligent Tools
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Author : Yunus Topsakal
language : en
Publisher: Yunus Topsakal
Release Date : 2024-11-19
Artificial Intelligent Tools written by Yunus Topsakal and has been published by Yunus Topsakal this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Biography & Autobiography categories.
This book serves as a comprehensive guide for readers who wish to understand how artificial intelligence works, how it is used, and which fields it serves with concrete examples, covering a total of 156 fundamental AI tools across 12 main categories and 49 subcategories. These tools, starting with major categories such as natural language processing, image processing, data analytics, and robotic systems, offer groundbreaking solutions in the world of information technologies with their functionality and versatility. The tools presented in this book aim to enhance the readers' academic knowledge and practical application skills by offering innovative and effective solutions in various fields. Each tool is introduced according to the fundamental principles of its respective area, with technical explanations and usage scenarios on how it works. The content of the book is designed to be beneficial to a wide audience, ranging from researchers to students, software developers to industry professionals. Each chapter of the book is detailed to ensure an in-depth understanding of artificial intelligence. Examples demonstrating the application areas, benefits, and limitations of each tool allow the reader to assimilate the information with a practical approach. We hope that this book will serve as a reference source for all readers who wish to explore innovative solutions in AI and gain deep knowledge in this field.
Optimized Cloud Resource Management And Scheduling
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Author : Wenhong Dr. Tian
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-10-15
Optimized Cloud Resource Management And Scheduling written by Wenhong Dr. Tian and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-15 with Computers categories.
Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. Explains how to optimally model and schedule computing resources in cloud computing Provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters Introduces real-world applications, including business, scientific and related case studies Discusses different cloud platforms with real test-bed and simulation tools
Managing Big Data Effectively
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Author : Bhima Asan
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Managing Big Data Effectively written by Bhima Asan and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
The illustrations in this book are created by “Team Educohack”. Managing Big Data Effectively bridges the gap between analytical principles, business practices, and Big Data. This book provides a comprehensive interface between engineering, technology, and management's organizational, administrative, and planning skills. It also complements other disciplines such as economics, finance, marketing, decision-making, and risk analysis. We designed this book for engineers, economists, researchers, and professionals who aim to develop new management skills or integrate management principles into their work. The authors offer original research and case studies that illustrate successful applications of management techniques in real-world scenarios involving Big Data. Managing Big Data Effectively is an invaluable resource for understanding how to synthesize Big Data with management practices to drive business success and innovation.
Expert Hadoop Administration
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Author : Sam R. Alapati
language : en
Publisher: Addison-Wesley Professional
Release Date : 2016-11-29
Expert Hadoop Administration written by Sam R. Alapati and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-29 with Computers categories.
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. The Comprehensive, Up-to-Date Apache Hadoop Administration Handbook and Reference “Sam Alapati has worked with production Hadoop clusters for six years. His unique depth of experience has enabled him to write the go-to resource for all administrators looking to spec, size, expand, and secure production Hadoop clusters of any size.” —Paul Dix, Series Editor In Expert Hadoop® Administration, leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experience with large-scale Hadoop administration, Alapati integrates action-oriented advice with carefully researched explanations of both problems and solutions. He covers an unmatched range of topics and offers an unparalleled collection of realistic examples. Alapati demystifies complex Hadoop environments, helping you understand exactly what happens behind the scenes when you administer your cluster. You’ll gain unprecedented insight as you walk through building clusters from scratch and configuring high availability, performance, security, encryption, and other key attributes. The high-value administration skills you learn here will be indispensable no matter what Hadoop distribution you use or what Hadoop applications you run. Understand Hadoop’s architecture from an administrator’s standpoint Create simple and fully distributed clusters Run MapReduce and Spark applications in a Hadoop cluster Manage and protect Hadoop data and high availability Work with HDFS commands, file permissions, and storage management Move data, and use YARN to allocate resources and schedule jobs Manage job workflows with Oozie and Hue Secure, monitor, log, and optimize Hadoop Benchmark and troubleshoot Hadoop
Proceedings Of International Conference On Smart Computing And Cyber Security
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Author : Prasant Kumar Pattnaik
language : en
Publisher: Springer Nature
Release Date : 2020-11-27
Proceedings Of International Conference On Smart Computing And Cyber Security written by Prasant Kumar Pattnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Technology & Engineering categories.
This book presents high-quality research papers presented at the International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2020) held during July 7–8, 2020, in the Department of Smart Computing, Kyungdong University, Global Campus, South Korea. The book includes selected works from academics and industrial experts in the field of computer science, information technology, and electronics and telecommunication. The content addresses challenges of cyber security.