Download or read book Fundamentals of Data Normalization written by Alan F. Dutka and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fundamentals of Data Science written by Jugal K. Kalita and published by Elsevier. This book was released on 2023-12-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors’ research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data. The book's authors include a systematic presentation of many predictive and descriptive learning algorithms, including recent developments that have successfully handled large datasets with high accuracy. In addition, a number of descriptive learning tasks are included. Presents the foundational concepts of data science along with advanced concepts and real-life applications for applied learning Includes coverage of a number of key topics such as data quality and pre-processing, proximity and validation, predictive data science, descriptive data science, ensemble learning, association rule mining, Big Data analytics, as well as incremental and distributed learning Provides updates on key applications of data science techniques in areas such as Computational Biology, Network Intrusion Detection, Natural Language Processing, Software Clone Detection, Financial Data Analysis, and Scientific Time Series Data Analysis Covers computer program code for implementing descriptive and predictive algorithms
Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Download or read book Fundamentals of Relational Database Management Systems written by S. Sumathi and published by Springer Science & Business Media. This book was released on 2007-02-13 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of fundamentals of database management system. It contains a detailed description on Relational Database Management System Concepts. There are a variety of solved examples and review questions with solutions. This book is for those who require a better understanding of relational data modeling, its purpose, its nature, and the standards used in creating relational data model.
Download or read book Data Modeling Fundamentals written by Paulraj Ponniah and published by John Wiley & Sons. This book was released on 2007-06-30 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to represent truly the enterprise information requirements.
Download or read book Database in Depth written by C.J. Date and published by "O'Reilly Media, Inc.". This book was released on 2005-05-05 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise guide sheds light on the principles behind the relational model, which underlies all database products in wide use today. It goes beyond the hype to give you a clear view of the technology -- a view that's not influenced by any vendor or product. Suitable for experienced database developers and designers.
Download or read book Data Quality Fundamentals written by Barr Moses and published by "O'Reilly Media, Inc.". This book was released on 2022-09 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck, from the data observability company Monte Carlo, explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipelines Write scripts to make data checks and identify broken pipelines with data observability Learn how to set and maintain data SLAs, SLIs, and SLOs Develop and lead data quality initiatives at your company Learn how to treat data services and systems with the diligence of production software Automate data lineage graphs across your data ecosystem Build anomaly detectors for your critical data assets
Download or read book Principles of Database Management written by Wilfried Lemahieu and published by Cambridge University Press. This book was released on 2018-07-12 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Download or read book Fundamentals of Data Engineering written by Joe Reis and published by "O'Reilly Media, Inc.". This book was released on 2022-06-22 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
Download or read book Fundamentals of Database Management Systems written by Mark L. Gillenson and published by John Wiley & Sons. This book was released on 2023-08-08 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the newly revised third edition of Fundamentals of Database Management Systems, veteran database expert Dr. Mark Gillenson delivers an authoritative and comprehensive account of contemporary database management. The Third Edition assists readers in understanding critical topics in the subject, including data modeling, relational database concepts, logical and physical database design, SQL, data administration, data security, NoSQL, blockchain, database in the cloud, and more. The author offers a firm grounding in the fundamentals of database while, at the same time, providing a wide-ranging survey of database subfields relevant to information systems professionals. And, now included in the supplements, the author's audio narration of the included PowerPoint slides! Readers will also find: Brand-new content on NoSQL database management, NewSQL, blockchain, and database-intensive applications, including data analytics, ERP, CRM, and SCM Updated and revised narrative material designed to offer a friendly introduction to database management Renewed coverage of cloud-based database management Extensive updates to incorporate the transition from rotating disk secondary storage to solid state drives
Download or read book Database Design and Relational Theory written by C. J. Date and published by "O'Reilly Media, Inc.". This book was released on 2012-04-17 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because databases often stay in production for decades, careful design is critical to making the database serve the needs of your users over years, and to avoid subtle errors or performance problems. In this book, C.J. Date, a leading exponent of relational databases, lays out the principles of good database design.
Download or read book Handbook of Relational Database Design written by Candace C. Fleming and published by Addison-Wesley Professional. This book was released on 1989 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a practical and proven approach to designing relational databases. It contains two complementary design methodologies: logical data modeling and relational database design. The design methodologies are independent of product-specific implementations and have been applied to numerous relational product environments. 0201114348B04062001
Download or read book Practical Issues in Database Management written by Fabian Pascal and published by Addison-Wesley Professional. This book was released on 2000 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this work is to provide a correct and up-to-date understanding of the practical aspects of crucial, yet little- understood core database issues. The author identifies fundamental concepts, principles, and techniques and assesses the treatment of those issues in SQL (both the standard and commercial implementations) and gives advice on how to deal with them. Topics covered include complex data types, missing information, data hierarchies, and quota queries. Annotation copyrighted by Book News, Inc., Portland, OR
Download or read book Data Modeling Essentials written by Graeme Simsion and published by Elsevier. This book was released on 2004-12-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises. This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective. Thorough coverage of the fundamentals and relevant theory Recognition and support for the creative side of the process Expanded coverage of applied data modeling includes new chapters on logical and physical database design New material describing a powerful technique for model verification Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict
Download or read book Fundamentals of Machine Learning for Predictive Data Analytics second edition written by John D. Kelleher and published by MIT Press. This book was released on 2020-10-20 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.
Download or read book The Object Primer written by Scott W. Ambler and published by Cambridge University Press. This book was released on 2004-03-22 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: The acclaimed beginner's book on object technology now presents UML 2.0, Agile Modeling, and object development techniques.
Download or read book Fundamentals of Database Management Systems written by Mark L. Gillenson and published by Wiley. This book was released on 2011-12-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gillenson's new edition of Fundamentals of Database Management Systems provides concise coverage of the fundamental topics necessary for a deep understanding of the basics. In this issue, there is more emphasis on a practical approach, with new "your turn" boxes and much more coverage in a separate supplement on how to implement databases with Access. In every chapter, the author covers concepts first, then show how they're implemented in continuing case(s.) "Your Turn" boxes appear several times throughout the chapter to apply concepts to projects. And "Concepts in Action" boxes contain examples of concepts used in practice. This pedagogy is easily demonstrable and the text also includes more hands-on exercises and projects and a standard diagramming style for the data modeling diagrams. Furthermore, revised and updated content and organization includes more coverage on database control issues, earlier coverage of SQL, and new coverage on data quality issues.
