Data Architecture A Primer For The Data Scientist
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Data Architecture A Primer For The Data Scientist
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Author : W.H. Inmon
language : en
Publisher: Academic Press
Release Date : 2019-04-30
Data Architecture A Primer For The Data Scientist written by W.H. Inmon and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with Computers categories.
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together. - New case studies include expanded coverage of textual management and analytics - New chapters on visualization and big data - Discussion of new visualizations of the end-state architecture
Data Architecture
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Author : W. H. Inmon
language : en
Publisher:
Release Date : 2014
Data Architecture written by W. H. Inmon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Data mining categories.
Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can't be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You'll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big Data Understand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data Discusses the value in Big Data that is often overlooked, non-repetitive data, and why there is significant business value in using it Shows how to turn textual information into a form that can be analyzed by standard tools. Explains how Big Data fits within an existing systems environment Presents new opportunities that are afforded by the advent of Big Data Demystifies the murky waters of repetitive and non-repetitive data in Big Data.
Data Architecture
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Author : William H. Inmon
language : en
Publisher:
Release Date : 2015
Data Architecture written by William H. Inmon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Big data categories.
Data Architecture A Primer For The Data Scientist
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Author : W. H. Inmon
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-11-26
Data Architecture A Primer For The Data Scientist written by W. H. Inmon and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-26 with Computers categories.
Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can't be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You'll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big Data Understand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data Discusses the value in Big Data that is often overlooked, non-repetitive data, and why there is significant business value in using it Shows how to turn textual information into a form that can be analyzed by standard tools. Explains how Big Data fits within an existing systems environment Presents new opportunities that are afforded by the advent of Big Data Demystifies the murky waters of repetitive and non-repetitive data in Big Data
Intelligent Supply Chains Ai Driven Transformation In Retail And Manufacturing
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Author : Goutham Kumar Sheelam
language : en
Publisher: AQUA PUBLICATION
Release Date :
Intelligent Supply Chains Ai Driven Transformation In Retail And Manufacturing written by Goutham Kumar Sheelam and has been published by AQUA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Digital Transformation And Global Society
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Author : Daniel A. Alexandrov
language : en
Publisher: Springer
Release Date : 2017-11-08
Digital Transformation And Global Society written by Daniel A. Alexandrov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-08 with Computers categories.
This book constitutes the refereed proceedings of the Second International Conference on Digital Transformation and Global Society, DTGS 2017, held in St. Petersburg, Russia, in June 2017. The 34 revised full papers and three revised short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections on eSociety: social media analysis; eSociety: ICTs in education and science; eSociety: legal, security and usability issues; ePolity: electronic governance and electronic participation; ePolity: politics of cyberspace; eCity: urban planning and smart cities; eHealth: ICTs in public health management; eEconomy and eFinance: finance and knowledge management.
The Compassionate Aspect Of Healthcare
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Author : Lungowe Mwanamwalye
language : en
Publisher: Cari Journals USA LLC
Release Date : 2025-04-22
The Compassionate Aspect Of Healthcare written by Lungowe Mwanamwalye and has been published by Cari Journals USA LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-22 with Medical categories.
TOPICS IN THE BOOK Experiences of Parents Nursing Their Neonates on End-of-Life Care in Neonatal Intensive Care Unit at Women and New-Born Hospital- University Teaching Hospitals, Lusaka Zambia Cost of Care Insights through Data Integration: Building Foundational Systems for Healthcare Analytics Leveraging AI and Machine Learning in Embedded Technology for Healthcare Innovation The Impact of Cancer Disease on the Families of the Patient, A Case Study of the Pediatric Wing, Cancer Disease Hospital in Lusaka, Zambia
Airport Baggage Handling Systems
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Author : Brahim Rekiek
language : en
Publisher: CRC Press
Release Date : 2023-10-19
Airport Baggage Handling Systems written by Brahim Rekiek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-19 with Transportation categories.
The competition between airports demands higher-quality services to satisfy passengers. A Baggage Handling System (BHS) serves functions such as baggage sorting, screening, and storage. A successful BHS means bags move between areas as travellers do. Handlers load/unload bags and transfer them between the airport's areas. Automation can save money and bring safety and operational benefits. Warehouses as well as the automotive industry are more advanced technologically in comparison to the airport and especially the baggage handling business. The concept of the Baggage Factory (BF) is an approach (based on Industry 4.0) that simplifies the processes from the moment passengers drop off their bags at check-in till the destination (chutes, carousels, and so forth). Airport Baggage Handling Systems: Using the Baggage Factory Approach to Support AI Optimisation, Decisions, and Design Processes introduces the features of the BF concept and presents how BHS designers can use AI technology to tackle many BHS problems and concerns. The book bridges the gap between airport BHS designers and experts in AI and optimisation. It describes in detail the field of baggage handling using algorithms for sorting bags or optimising the flow. The way the systems are designed is discussed, and a behind-the-scenes look at the BHS industry and how it affects the daily lives of travellers is presented. International and multidisciplinary in approach, this book is an ideal resource for practitioners, students, and researchers involved in the air transportation industry, Tourism, Systems Engineering, Layout and Design, Artificial Intelligence, Assembly Automation, and Logistics fields.
Teknologi Big Data Pengantar Dan Penerapan Teknologi Big Data Di Berbagai Bidang
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Author : Adi Panca Saputra Iskandar
language : id
Publisher: PT. Green Pustaka Indonesia
Release Date : 2024-04-30
Teknologi Big Data Pengantar Dan Penerapan Teknologi Big Data Di Berbagai Bidang written by Adi Panca Saputra Iskandar and has been published by PT. Green Pustaka Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-30 with Computers categories.
Buku "Teknologi Big Data: Pengantar dan Penerapan di Berbagai Bidang" merangkum esensi teknologi Big Data dari awal hingga penerapannya dalam konteks kehidupan nyata. Melalui konsep dasar yang jelas seperti pengumpulan, ingest, dan penyimpanan data, pembaca diperkenalkan pada kerangka kerja Big Data yang penting untuk memahami kompleksitasnya. Setelah itu, buku ini menyajikan serangkaian studi kasus dan contoh aplikatif yang mencakup lingkungan, ekonomi, pendidikan, pemerintahan, transportasi, UMKM, industri, dan kesehatan, memberikan gambaran komprehensif tentang bagaimana teknologi Big Data merespon tantangan dan memperkaya solusi di berbagai bidang kehidupan. Dengan penekanan pada implementasi praktis dan pemahaman yang mendalam, buku ini tidak hanya menjadi panduan bermanfaat bagi pembaca yang ingin memahami Big Data, tetapi juga mengilhami untuk menjelajahi potensi inovatif teknologi ini dalam meningkatkan efisiensi dan menghasilkan dampak positif dalam masyarakat.
Exploring Data Science With R And The Tidyverse
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Author : Jerry Bonnell
language : en
Publisher: CRC Press
Release Date : 2023-08-14
Exploring Data Science With R And The Tidyverse written by Jerry Bonnell and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-14 with Mathematics categories.
This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows without needing to reference extensive amounts of external resources for onboarding. The contents are targeted for undergraduate students but are equally applicable to students at the graduate level and beyond. The book develops concepts using many real-world examples to motivate the reader. Upon completion of the text, the reader will be able to: Gain proficiency in R programming Load and manipulate data frames, and "tidy" them using tidyverse tools Conduct statistical analyses and draw meaningful inferences from them Perform modeling from numerical and textual data Generate data visualizations (numerical and spatial) using ggplot2 and understand what is being represented An accompanying R package "edsdata" contains synthetic and real datasets used by the textbook and is meant to be used for further practice. An exercise set is made available and designed for compatibility with automated grading tools for instructor use.