Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive write by Peter Jones. This book was released on 2024-10-19. Mastering Data Engineering: Advanced Techniques with Apache Hadoop and Hive available in PDF, EPUB and Kindle. 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.
Mastering Apache Spark
Mastering Apache Spark - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mastering Apache Spark write by Cybellium Ltd. This book was released on 2023-09-26. Mastering Apache Spark available in PDF, EPUB and Kindle. 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
Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship write by Elias G Carayannis. This book was released on 2023-02-14. Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship available in PDF, EPUB and Kindle. 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.
Data Engineering with Apache Hadoop and Hive
Data Engineering with Apache Hadoop and Hive - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Engineering with Apache Hadoop and Hive write by Matt Mueyon. This book was released on 2024-04-09. Data Engineering with Apache Hadoop and Hive available in PDF, EPUB and Kindle. 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.
Transportation Systems
Transportation Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Transportation Systems write by Sarbjeet Singh. This book was released on 2019-08-20. Transportation Systems available in PDF, EPUB and Kindle. 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.
