Mastering Data Engineering Advanced Techniques With Apache Hadoop And Hive
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Mastering Data Engineering Advanced Techniques With Apache Hadoop And Hive
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Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-11
Mastering Data Engineering Advanced Techniques With Apache Hadoop And Hive written by Peter Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-11 with Computers categories.
Immerse yourself in the realm of big data with "Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive," your definitive guide to mastering two of the most potent technologies in the data engineering landscape. This book provides comprehensive insights into the complexities of Apache Hadoop and Hive, equipping you with the expertise to store, manage, and analyze vast amounts of data with precision. From setting up your initial Hadoop cluster to performing sophisticated data analytics with HiveQL, each chapter methodically builds on the previous one, ensuring a robust understanding of both fundamental concepts and advanced methodologies. Discover how to harness HDFS for scalable and reliable storage, utilize MapReduce for intricate data processing, and fully exploit data warehousing capabilities with Hive. Targeted at data engineers, analysts, and IT professionals striving to advance their proficiency in big data technologies, this book is an indispensable resource. Through a blend of theoretical insights, practical knowledge, and real-world examples, you will master data storage optimization, advanced Hive functionalities, and best practices for secure and efficient data management. Equip yourself to confront big data challenges with confidence and skill with "Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive." Whether you're a novice in the field or seeking to expand your expertise, this book will be your invaluable guide on your data engineering journey.
Data Engineering With Apache Hadoop And Hive
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Author : Matt Mueyon
language : en
Publisher: Independently Published
Release Date : 2024-04-09
Data Engineering With Apache Hadoop And Hive written by Matt Mueyon and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-09 with Computers categories.
Dive into the world of big data with "Data Engineering with Apache Hadoop and Hive," your comprehensive guide to mastering two of the most powerful technologies in the data engineering space. This book offers in-depth insights into the intricacies of Apache Hadoop and Hive, equipping you with the knowledge to store, manage, and analyze vast amounts of data efficiently. From setting up your first Hadoop cluster to executing advanced data analytics with HiveQL, each chapter builds upon the last, ensuring a solid understanding of the core concepts and advanced techniques. Learn how to leverage HDFS for scalable, reliable storage, exploit MapReduce for complex data processing, and unlock the full potential of data warehousing with Hive. For data engineers, analysts, and IT professionals aiming to enhance their skillset in big data technologies, this book is an essential resource. Through a blend of theoretical knowledge, practical insights, and real-world examples, you'll master data storage optimization, advanced Hive features, and best practices for secure and efficient data management. Prepare to tackle big data challenges with confidence and expertise with "Data Engineering with Apache Hadoop and Hive." Whether you're new to the field or looking to deepen your knowledge, this book will serve as your invaluable companion on your data engineering journey.
Advanced Hadoop Techniques A Comprehensive Guide To Mastery
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-05-13
Advanced Hadoop Techniques A Comprehensive Guide To Mastery written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.
Unlock the full potential of Hadoop with "Advanced Hadoop Techniques: A Comprehensive Guide to Mastery"—your essential resource for navigating the intricate complexities and harnessing the tremendous power of the Hadoop ecosystem. Designed for data engineers, developers, administrators, and data scientists, this book elevates your skills from foundational concepts to the most advanced optimizations necessary for mastery. Delve deep into the core of Hadoop, unraveling its integral components such as HDFS, MapReduce, and YARN, while expanding your knowledge to encompass critical ecosystem projects like Hive, HBase, Sqoop, and Spark. Through meticulous explanations and real-world examples, "Advanced Hadoop Techniques: A Comprehensive Guide to Mastery" equips you with the tools to efficiently deploy, manage, and optimize Hadoop clusters. Learn to fortify your Hadoop deployments by implementing robust security measures to ensure data protection and compliance. Discover the intricacies of performance tuning to significantly enhance your data processing and analytics capabilities. This book empowers you to not only learn Hadoop but to master sophisticated techniques that convert vast data sets into actionable insights. Perfect for aspiring professionals eager to make an impact in the realm of big data and seasoned experts aiming to refine their craft, "Advanced Hadoop Techniques: A Comprehensive Guide to Mastery" serves as an invaluable resource. Embark on your journey into the future of big data with confidence and expertise—your path to Hadoop mastery starts here.
Mastering Apache Spark
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-26
Mastering Apache Spark written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Computers categories.
Unleash the Potential of Distributed Data Processing with Apache Spark Are you prepared to venture into the realm of distributed data processing and analytics with Apache Spark? "Mastering Apache Spark" is your comprehensive guide to unlocking the full potential of this powerful framework for big data processing. Whether you're a data engineer seeking to optimize data pipelines or a business analyst aiming to extract insights from massive datasets, this book equips you with the knowledge and tools to master the art of Spark-based data processing. Key Features: 1. Deep Dive into Apache Spark: Immerse yourself in the core principles of Apache Spark, comprehending its architecture, components, and versatile functionalities. Construct a robust foundation that empowers you to manage big data with precision. 2. Installation and Configuration: Master the art of installing and configuring Apache Spark across diverse platforms. Learn about cluster setup, resource allocation, and configuration tuning for optimal performance. 3. Spark Core and RDDs: Uncover the core of Spark—Resilient Distributed Datasets (RDDs). Explore the functional programming paradigm and leverage RDDs for efficient and fault-tolerant data processing. 4. Structured Data Processing with Spark SQL: Delve into Spark SQL for querying structured data with ease. Learn how to execute SQL queries, perform data manipulations, and tap into the power of DataFrames. 5. Streamlining Data Processing with Spark Streaming: Discover the power of real-time data processing with Spark Streaming. Learn how to handle continuous data streams and perform near-real-time analytics. 6. Machine Learning with MLlib: Master Spark's machine learning library, MLlib. Dive into algorithms for classification, regression, clustering, and recommendation, enabling you to develop sophisticated data-driven models. 7. Graph Processing with GraphX: Embark on a journey through graph processing with Spark's GraphX. Learn how to analyze and visualize graph data to glean insights from complex relationships. 8. Data Processing with Spark Structured Streaming: Explore the world of structured streaming in Spark. Learn how to process and analyze data streams with the declarative power of DataFrames. 9. Spark Ecosystem and Integrations: Navigate Spark's rich ecosystem of libraries and integrations. From data ingestion with Apache Kafka to interactive analytics with Apache Zeppelin, explore tools that enhance Spark's capabilities. 10. Real-World Applications: Gain insights into real-world use cases of Apache Spark across industries. From fraud detection to sentiment analysis, discover how organizations leverage Spark for data-driven innovation. Who This Book Is For: "Mastering Apache Spark" is a must-have resource for data engineers, analysts, and IT professionals poised to excel in the world of distributed data processing using Spark. Whether you're new to Spark or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of this transformative framework.
Handbook Of Research On Artificial Intelligence Innovation And Entrepreneurship
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Author : Elias G Carayannis
language : en
Publisher: Edward Elgar Publishing
Release Date : 2023-02-14
Handbook Of Research On Artificial Intelligence Innovation And Entrepreneurship written by Elias G Carayannis and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-14 with Business & Economics categories.
The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.
Transportation Systems
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Author : Sarbjeet Singh
language : en
Publisher: Springer Nature
Release Date : 2019-08-20
Transportation Systems written by Sarbjeet Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-20 with Business & Economics categories.
This book explores the application of breakthrough technologies to improve transportation performance. Transportation systems represent the “blood vessels” of a society, in which people and goods travel. They also influence people’s lives and affect the liveability and sustainability of our cities. The book shows how emergent technologies are able to monitor the condition of the structure in real time in order to schedule the right moment for maintenance activities an so reduce the disturbance to users. This book is a valuable resource for those involved in research and development in this field. Part I discusses the context of transportation systems, highlighting the major issues and challenges, the importance of understating human factors that could affect the maintenance operations and the main goals in terms of safety standards. Part II focuses on process-oriented innovations in transportation systems; this section stresses the importance of including design parameters in the planning, offering a comparison between risk-based and condition-based maintenance and, lastly, showing applications of emergent technologies. Part III goes on to reflect on the technical-oriented innovations, discussing the importance of studying the physical phenomena that are behind transportation system failures and problems. It then introduces the general trend of collecting and analyzing big data using real-world cases to evaluate the positive and negative aspects of adopting extensive smart sensors for gathering information on the health of the assets. The last part (IV) explores cultural and behavioural changes, and new knowledge management methods, proposing novel forms of maintenance and vocational training, and introduces the need for radical new visions in transportation for managing unexpected events. The continuous evolution of maintenance fields suggests that this compendium of “state-of-the-art” applications will not be the only one; the authors are planning a collection of cutting-edge examples of transportation systems that can assist researchers and practitioners as well as students in the process of understanding the complex and multidisciplinary environment of maintenance engineering applied to the transport sector.
Ibm Data Engine For Hadoop And Spark
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Author : Dino Quintero
language : en
Publisher: IBM Redbooks
Release Date : 2016-08-24
Ibm Data Engine For Hadoop And Spark written by Dino Quintero and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-24 with Computers categories.
This IBM® Redbooks® publication provides topics to help the technical community take advantage of the resilience, scalability, and performance of the IBM Power SystemsTM platform to implement or integrate an IBM Data Engine for Hadoop and Spark solution for analytics solutions to access, manage, and analyze data sets to improve business outcomes. This book documents topics to demonstrate and take advantage of the analytics strengths of the IBM POWER8® platform, the IBM analytics software portfolio, and selected third-party tools to help solve customer's data analytic workload requirements. This book describes how to plan, prepare, install, integrate, manage, and show how to use the IBM Data Engine for Hadoop and Spark solution to run analytic workloads on IBM POWER8. In addition, this publication delivers documentation to complement available IBM analytics solutions to help your data analytic needs. This publication strengthens the position of IBM analytics and big data solutions with a well-defined and documented deployment model within an IBM POWER8 virtualized environment so that customers have a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted at technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering analytics solutions and support on IBM Power Systems.
Apache Spark 2 X Machine Learning Cookbook
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Author : Siamak Amirghodsi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-09-22
Apache Spark 2 X Machine Learning Cookbook written by Siamak Amirghodsi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-22 with Computers categories.
Simplify machine learning model implementations with Spark About This Book Solve the day-to-day problems of data science with Spark This unique cookbook consists of exciting and intuitive numerical recipes Optimize your work by acquiring, cleaning, analyzing, predicting, and visualizing your data Who This Book Is For This book is for Scala developers with a fairly good exposure to and understanding of machine learning techniques, but lack practical implementations with Spark. A solid knowledge of machine learning algorithms is assumed, as well as hands-on experience of implementing ML algorithms with Scala. However, you do not need to be acquainted with the Spark ML libraries and ecosystem. What You Will Learn Get to know how Scala and Spark go hand-in-hand for developers when developing ML systems with Spark Build a recommendation engine that scales with Spark Find out how to build unsupervised clustering systems to classify data in Spark Build machine learning systems with the Decision Tree and Ensemble models in Spark Deal with the curse of high-dimensionality in big data using Spark Implement Text analytics for Search Engines in Spark Streaming Machine Learning System implementation using Spark In Detail Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. Learning about algorithms enables a wide range of applications, from everyday tasks such as product recommendations and spam filtering to cutting edge applications such as self-driving cars and personalized medicine. You will gain hands-on experience of applying these principles using Apache Spark, a resilient cluster computing system well suited for large-scale machine learning tasks. This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues developers face while working with machine learning algorithms on the Spark platform. We progress by uncovering the various Spark APIs and the implementation of ML algorithms with developing classification systems, recommendation engines, text analytics, clustering, and learning systems. Toward the final chapters, we'll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems. Style and approach This book is packed with intuitive recipes supported with line-by-line explanations to help you understand how to optimize your work flow and resolve problems when working with complex data modeling tasks and predictive algorithms. This is a valuable resource for data scientists and those working on large scale data projects.
Progress In Advanced Computing And Intelligent Engineering
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Author : Chhabi Rani Panigrahi
language : en
Publisher: Springer
Release Date : 2018-07-09
Progress In Advanced Computing And Intelligent Engineering written by Chhabi Rani Panigrahi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-09 with Technology & Engineering categories.
This book features high-quality research papers presented at the International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2017). It includes sections describing technical advances in the fields of advanced computing and intelligent engineering, which are based on the presented articles. Intended for postgraduate students and researchers working in the discipline of computer science and engineering, the proceedings also appeal to researchers in the domain of electronics as it covers hardware technologies and future communication technologies.
Technology Made Simple For The Technical Recruiter Second Edition
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Author : Obi Ogbanufe
language : en
Publisher: iUniverse
Release Date : 2019-04-27
Technology Made Simple For The Technical Recruiter Second Edition written by Obi Ogbanufe and has been published by iUniverse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-27 with Computers categories.
If you’re a technical recruiter who wants to keep your skills up to date in the competitive field of technical resource placement, you need a detailed guidebook to outpace competitors. This technical skills primer focuses on technology fundamentals—from basic programming terms to big data vocabulary, network lingo, operating system jargon, and other crucial skill sets. Topics covered include: •sample questions to ask candidates, •types of networks and operating systems, •software development strategies, •cloud systems administration and DevOps, •data science and database job roles, and •information security job roles. Armed with indispensable information, the alphabet soup of technology acronyms will no longer be intimidating, and you will be able to analyze client and candidate requirements with confidence. Written in clear and concise prose, Technology Made Simple for the Technical Recruiter is an invaluable resource for any technical recruiter.