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Big Data, Little Data, No Data
\"Big Data\" is on the covers ofScience, Nature, theEconomist, andWiredmagazines, on the front pages of theWall Street Journaland theNew York Times.But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six \"provocations\" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
eBook
A real-time in-memory discovery service : leveraging hierarchical packaging information in a unique identifier network to retrieve track and trace information
The research presented in this book discusses how to efficiently retrieve track and trace information for an item of interest that took a certain path through a complex network of manufacturers, wholesalers, retailers, and consumers. To this end, a super-ordinate system called \"Discovery Service\" is designed that has to handle large amounts of data, high insert-rates, and a high number of queries that are submitted to the discovery service. An example that is used throughout this book is the European pharmaceutical supply chain, which faces the challenge that more and more counterfeit medicinal products are being introduced. Between October and December 2008, more than 34 million fake drug pills were detected at customs control at the borders of the European Union. These fake drugs can put lives in danger as they were supposed to fight cancer, take effect as painkiller or antibiotics, among others. The concepts described in this book can be adopted for supply chain management use cases other than track and trace, such as recall, supply chain optimization, or supply chain analytics.
Book
Cyber security in parallel and distributed computing : concepts, techniques, applications and case studies
The book contains several new concepts, techniques, applications and case studies for cyber securities in parallel and distributed computing The main objective of this book is to explore the concept of cybersecurity in parallel and distributed computing along with recent research developments in the field.
eBook
Corpus Stylistics
This book combines stylistic analysis with corpus linguistics to present an innovative account of the phenomenon of speech, writing and thought presentation - commonly referred to as 'speech reporting' or 'discourse presentation'. This new account is based on an extensive analysis of a quarter-of-a-million word electronic collection of written narrative texts, including both fiction and non-fiction. The book includes detailed discussions of:
The construction of this corpus of late twentieth-century written British narratives taken from fiction, newspaper news reports and (auto)biographies
The development of a manual annotation system for speech, writing and thought presentation and its application to the corpus.
The findings of a quantitive and qualitative analysis of the forms and functions of speech, writing and thought presentation in the three genres represented in the corpus.
The findings of the analysis of a range of specific phenomena, including hypothetical speech, writing and thought presentation, embedded speech, writing and thought presentation and ambiguities in speech, writing and thought presentation.
Two case studies concentrating on specific texts from the corpus.
Corpus Stylistics shows how stylistics, and text/discourse analysis more generally, can benefit from the use of a corpus methodology and the authors' innovative approach results in a more reliable and comprehensive categorisation of the forms of speech, writing and thought presentation than have been suggested so far. This book is essential reading for linguists interested in the areas of stylistics and corpus linguistics.
Elena Semino is Senior Lecturer in the Department of Linguistics and Modern English Language at Lancaster University. She is the author of Language and World Creation in Poems and Other Texts (1997), and co-editor (with Jonathan Culpetter) of Cognitive Stylistics: Language and Cognition in Text Analysis (2002). Mick Short is Professor of English Language and Literature at Lancaster University. He has written Exploring the Language of Poems, Plays and Prose (1997) and (with Geoffrey Leech) Style in Fiction (1997). He founded the Poetics and Linguistics Association and was the founding editor of its international journal, Language and Literature.
1. A Corpus-Based Approach to the Study of Discourse Presentation in Written Narratives 2. Methodology: The Construction and Annotation of the Corpus 3. A Revised Model of Speech, Writing and Thought Presentation 4. Speech Presentation in the Corpus: A Quantitative and Qualitative Analysis 5. Writing Presentation in the Corpus: A Quantitative and Qualitative Analysis 6. Thought Presentation in the Corpus: A Quantitative and Qualitative Analysis 7. Specific Phenomena in Speech, Writing Presentation 8. Case Studies of Specific Texts from the Corpus 9. Conclusion
eBook
Fringe Pattern Analysis for Optical Metrology
Fringe Pattern Analysis for Optical Metrology: Theory, Algorithms, and Applications
The main objective of this book is to present the basic theoretical principles and practical applications for the classical interferometric techniques and the most advanced methods in the field of modern fringe pattern analysis applied to optical metrology. A major novelty of this work is the presentation of a unified theoretical framework based on the Fourier description of phase shifting interferometry using the Frequency Transfer Function (FTF) along with the theory of Stochastic Process for the straightforward analysis and synthesis of phase shifting algorithms with desired properties such as spectral response, detuning and signal-to-noise robustness, harmonic rejection, etc.
eBook
Data Ingestion with Python Cookbook
Deploy your data ingestion pipeline, orchestrate, and monitor efficiently to prevent loss of data and quality
Key Features
Harness best practices to create a Python and PySpark data ingestion pipelineSeamlessly automate and orchestrate your data pipelines using Apache AirflowBuild a monitoring framework by integrating the concept of data observability into your pipelines
Book Description
Data Ingestion with Python Cookbook offers a practical approach to designing and implementing data ingestion pipelines. It presents real-world examples with the most widely recognized open source tools on the market to answer commonly asked questions and overcome challenges. You’ll be introduced to designing and working with or without data schemas, as well as creating monitored pipelines with Airflow and data observability principles, all while following industry best practices. The book also addresses challenges associated with reading different data sources and data formats. As you progress through the book, you’ll gain a broader understanding of error logging best practices, troubleshooting techniques, data orchestration, monitoring, and storing logs for further consultation. By the end of the book, you’ll have a fully automated set that enables you to start ingesting and monitoring your data pipeline effortlessly, facilitating seamless integration with subsequent stages of the ETL process.
What you will learn
Implement data observability using monitoring toolsAutomate your data ingestion pipelineRead analytical and partitioned data, whether schema or non-schema basedDebug and prevent data loss through efficient data monitoring and loggingEstablish data access policies using a data governance frameworkConstruct a data orchestration framework to improve data quality
Who this book is for
This book is for data engineers and data enthusiasts seeking a comprehensive understanding of the data ingestion process using popular tools in the open source community. For more advanced learners, this book takes on the theoretical pillars of data governance while providing practical examples of real-world scenarios commonly encountered by data engineers.
eBook