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Record Nr. |
UNINA9910743400303321 |
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Autore |
Ben-Dov Jonathan |
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Titolo |
Material and Digital Reconstruction of Fragmentary Dead Sea Scrolls : The Case of 4Q418a / / Jonathan Ben-Dov, Asaf Gayer, and Eshbal Ratzon |
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Pubbl/distr/stampa |
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Leiden ; ; Boston : , : Brill, , 2022 |
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ISBN |
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Descrizione fisica |
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1 online resource (296 pages) |
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Collana |
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Studies on the Texts of the Desert of Judah ; ; 136 |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preliminary Material / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Copyright page / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Acknowledgements / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Tables and Figures / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Introduction The Present Volume / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 1 Collecting the Materials / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 2 Margin of Error / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 3 Image Manipulation / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 4 Scaling the Images / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 5 Removing the Background / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 6 Finding Information on the Verso / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 7 Finding Wads / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 8 Reading and Text Reconstruction / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 9 Recreating Single Columns Based on Fragments and Parallels / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 10 Font / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Appendix 1 Experiment for Validating the Use of a Custom-Made Font / Eshbal Ratzon , Einat Tamir , and Rivkah Madmoni -- Appendix 2 Automated Font Generation / Bronson Brown-deVost -- Chapter 11 Damage Patterns / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- |
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Chapter 12 Placing the Fragments on the Canvas Using the Stegemann Method / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Appendix 3 Margin of Error for Placing the Fragments on the Canvas / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 13 Using One Prepared Copy as a Skeleton for a Second Copy / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Appendix 4 Margin of Error for Chapter 13 / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 14 Introduction to the Material Study of Instruction ( Musar LaMevin ) / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Chapter 15 Re-Edition of 4Q418a / Eshbal Ratzon -- Chapter 16 Material and Digital Reconstruction of 4Q418a / Eshbal Ratzon -- Chapter 17 Conclusion: Movement towards a Comprehensive Reconstruction of Instruction / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Bibliography / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Index of Qumran Scrolls / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Index of Modern Authors / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon -- Subject Index / Jonathan Ben-Dov , Asaf Gayer , and Eshbal Ratzon. |
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Sommario/riassunto |
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This book presents an innovative and comprehensive method for reconstructing fragmentary scrolls in a digital environment. The method enables extracting maximum information from the fragments. It is exemplified on the scroll 4Q418a, a fragmentary copy of Instruction. |
Scholars working with ancient scrolls seek ways to extract maximum information from the multitude of fragments. Various methods were applied to that end on the Dead Sea Scrolls as well as on other ancient texts. The present book augments these methods to a full-scale protocol, while adapting them to a new computerized environment. Fundamental methodological issues are illuminated as part of the discussion, and the potential margin of error is provided on an empirical basis, as practiced in the sciences. The method is then exemplified with regard to the scroll 4Q418a, a copy of a wisdom composition from Qumran. |
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2. |
Record Nr. |
UNINA9910814241203321 |
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Autore |
Karambelkar Hrishikesh Vijay |
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Titolo |
Apache Hadoop 3 quick start guide : learn about big data processing and analytics / / Hrishikesh Vijay Karambelkar |
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Pubbl/distr/stampa |
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London, England : , : Packt Publishing, Limited, , [2018] |
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©2018 |
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Edizione |
[First edition] |
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Descrizione fisica |
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1 online resource (220 pages) |
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Disciplina |
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Soggetti |
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Cloud computing |
Electronic data processing - Distributed processing - Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Sommario/riassunto |
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A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key Features Set up, configure and get started with Hadoop to get useful insights from large data sets Work with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3 Book Description Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics |
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using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster. What you will learn Store and analyze data at scale using HDFS, MapReduce and YARN Install and configure Hadoop 3 in different modes Use Yarn effectively to run different applications on Hadoop based platform Understand and monitor how Hadoop cluster is managed Consume streaming data using Storm, and then analyze it using Spark Explore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and Kafka Who this book is for Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage. |
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