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Data Management And File Structures
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Book Synopsis Data Management and File Structures by : Mary E. S. Loomis
Download or read book Data Management and File Structures written by Mary E. S. Loomis and published by Prentice Hall. This book was released on 1989 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Management for Social Scientists by : Nils B. Weidmann
Download or read book Data Management for Social Scientists written by Nils B. Weidmann and published by Cambridge University Press. This book was released on 2023-03-09 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equips social scientists with the tools and techniques to conduct quantitative research in the age of big data.
Book Synopsis File Structures by : Michael J. Folk
Download or read book File Structures written by Michael J. Folk and published by Addison Wesley Publishing Company. This book was released on 1999-09 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the conceptual tools to build file structures that can be quickly and efficiently accessed. It teaches good design judgment through an approach that puts the "hands-on" work of constructing and running programs at the center of the learning process. This best-selling book has been thoroughly updated. It includes timely coverage of file structures in a UNIX environment in addition to a new and substantial appendix on CD-ROM. All former programs in C and Pascal have been updated to ANSI C and Turbo Pascal 6.0. 0201557134B04062001
Book Synopsis Data Management for Researchers by : Kristin Briney
Download or read book Data Management for Researchers written by Kristin Briney and published by Pelagic Publishing Ltd. This book was released on 2015-09-01 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin
Book Synopsis Data and File Structure (For GTU), 2nd Edition by : Rohit Khurana
Download or read book Data and File Structure (For GTU), 2nd Edition written by Rohit Khurana and published by Vikas Publishing House. This book was released on with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data and File Structure has been specifically designed to meet the requirements of the engineering students of GTU. This is a core subject in the curriculum of all Computer Science programs. The aim of this book is to help the students develop programming and algorithm analysis skills simultaneously such that they are able to design programs with maximum efficiency. C language has been used in the book to permit the execution of basic data structures in a variety of ways. Key Features 1. Simple and easy-to-follow text 2. Wide coverage of topics 3. Programming examples for clarity 4. Summary and exercises at the end of each chapter to test your knowledge 5. Answers to selected exercises 6. University question papers with answers 7. Objective type questions for practice
Book Synopsis Principles of Database Management by : Wilfried Lemahieu
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.
Book Synopsis Frontiers in Massive Data Analysis by : National Research Council
Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
Book Synopsis File Structures : An Object-Oriented Approach with C++, 3/e by : Michael J. Folk
Download or read book File Structures : An Object-Oriented Approach with C++, 3/e written by Michael J. Folk and published by Pearson Education India. This book was released on 2006 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Publications by : United States. National Bureau of Standards
Download or read book Publications written by United States. National Bureau of Standards and published by . This book was released on 1981 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Data Management by : Lena Wiese
Download or read book Advanced Data Management written by Lena Wiese and published by Walter de Gruyter GmbH & Co KG. This book was released on 2015-10-29 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions. This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.
Book Synopsis Mining Science and Technology 1996 by : T.S. Golosinski
Download or read book Mining Science and Technology 1996 written by T.S. Golosinski and published by CRC Press. This book was released on 1996-10-31 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of symposium papers covering all major aspects of mining and related disciplines. Topics include: mining science; environmental and safety technology; mine control; antomation and mechanization; mining geomechanics; mine construction and engineering; and coal processing.
Book Synopsis Handbook of Data Management by : Sanjiv Purba
Download or read book Handbook of Data Management written by Sanjiv Purba and published by CRC Press. This book was released on 2019-07-23 with total page 1104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Packed with dozens of no-nonsense chapters written by leading professionals, Handbook of Data Management, 1999 Edition shows your students how to design, build, and maintain high-performance, high-availability databases in multiple environments. Handbook of Data Management, 1999 Edition is the most comprehensive, single-volume guide of its kind. The book provides the latest, most innovative solutions for planning, developing, and running a powerful data management function. Here students will find exhaustive coverage of the range of data repositories (from legacy indexed files to object data bases and data warehouses) as well as details on everything from strategic planning to maximizing database performance. Completely revised and updated to reflect latebreaking technologies, Handbook of Data Management, 1999 Edition includes extensive case studies and straightforward descriptions showing students how to: implement Web-enabled data warehouses build multimedia databases master data mining use enterprise database modeling stay up-to-date with data conversion and migration maximize OLAP architectures and tools Handbook of Data Management, 1999 Edition also provides ongoing coverage of the latest tools and techniques regarding: organization for quality information systems data definition database design and management object and hybrid databases and more Each contributor to Handbook of Data Management, 1999 Edition is an expert with first-hand experience in database and data management. These contributors provide a depth and breadth of coverage you and your students simply won't find anywhere else. Prepare your students for "real-world" business computing. Start them off with Handbook of Data Management, 1999 Edition.
Download or read book Database Internals written by Alex Petrov and published by O'Reilly Media. This book was released on 2019-09-13 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
Book Synopsis Information Systems by : Julius T. Tou
Download or read book Information Systems written by Julius T. Tou and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ten years ago the first International Symposium on Computer and Information Sciences (COINS-63) was held at Northwestern University. Since that time, computer and information sciences have witnessed a great intensification of research and education. The activities in this field have been significantly broadened and enriched. During this ten-year period, we have organized four COINS symposia to provide a forum for promoting com munication among scientists, engineers, and educators in the computer and information science field and to act as a catalyzer for stimulating creative thinking within the community of information processing. The COINS-72 symposium, which took place in Miami Beach on December 14--16,1972, under the cosponsorship of the U.S. Army Research Office, the Atomic Energy Commission, and the University of Florida, is the fourth International Symposium on Computer and Information Sciences. The theme of this COINS symposium is information systems. This theme has been selected for the following reasons: Information systems have offered widespread applications in education, government, industry, and science. The bulk of research in computer and information science is now geared to the development of improved information systems. A major portion of software engineering is concerned with computer software and sophisticated information system design. It seems logical that a symposium on information systems should follow the preceding software engineering conference.
Download or read book Instruction Report HL written by and published by . This book was released on 1985 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Efficient Structures for Geometric Data Management by : Oliver Günther
Download or read book Efficient Structures for Geometric Data Management written by Oliver Günther and published by Springer Science & Business Media. This book was released on 1988-11-09 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: More MRCP Part 1 provides five further mock MRCP type examination papers for quick self-assessment. It contains another collection of multiple choice questions used in the Bloomsbury MRCP Part 1 course and supplements the previously published volume: Johnson/Pozniak, MRCP Part 1. Any candidate preparing for such examinations will find valuable guidelines as to the strengths and weaknesses of his knowledge.
Book Synopsis Database Management System MCQ PDF: Questions and Answers Download | DBMS MCQs Book by : Arshad Iqbal
Download or read book Database Management System MCQ PDF: Questions and Answers Download | DBMS MCQs Book written by Arshad Iqbal and published by Bushra Arshad. This book was released on 2019-06-11 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book Database Management System Multiple Choice Questions (MCQ Quiz) with Answers PDF Download (DBMS PDF Book): MCQ Questions Chapter 1-14 & Practice Tests with Answer Key (DBMS Textbook MCQs, Notes & Question Bank) includes revision guide for problem solving with hundreds of solved MCQs. Database Management System MCQ with Answers PDF book covers basic concepts, analytical and practical assessment tests. "Database Management System MCQ" Book PDF helps to practice test questions from exam prep notes. The eBook Database Management System MCQs with Answers PDF includes revision guide with verbal, quantitative, and analytical past papers, solved MCQs. Database Management System Multiple Choice Questions and Answers (MCQs) PDF Download, an eBook covers solved quiz questions and answers on chapters: Modeling, entity relationship model, database concepts and architecture, database design methodology and UML diagrams, database management systems, disk storage, file structures and hashing, entity relationship modeling, file indexing structures, functional dependencies and normalization, introduction to SQL programming techniques, query processing and optimization algorithms, relational algebra and calculus, relational data model and database constraints, relational database design, algorithms dependencies, schema definition, constraints, queries and views tests for college and university revision guide. Database Management System Quiz Questions and Answers PDF Download, free eBook’s sample covers beginner's solved questions, textbook's study notes to practice online tests. The Book DBMS MCQs Chapter 1-14 PDF includes CS question papers to review practice tests for exams. Database Management System Multiple Choice Questions (MCQ) with Answers PDF digital edition eBook, a study guide with textbook chapters' tests for DBA/DB2/OCA/OCP/MCDBA/SQL/MySQL competitive exam. Database Systems Practice Tests Chapter 1-14 eBook covers problem solving exam tests from computer science textbook and practical eBook chapter wise as: Chapter 1: Data Modeling: Entity Relationship Model MCQ Chapter 2: Database Concepts and Architecture MCQ Chapter 3: Database Design Methodology and UML Diagrams MCQ Chapter 4: Database Management Systems MCQ Chapter 5: Disk Storage, File Structures and Hashing MCQ Chapter 6: Entity Relationship Modeling MCQ Chapter 7: File Indexing Structures MCQ Chapter 8: Functional Dependencies and Normalization MCQ Chapter 9: Introduction to SQL Programming Techniques MCQ Chapter 10: Query Processing and Optimization Algorithms MCQ Chapter 11: Relational Algebra and Calculus MCQ Chapter 12: Relational Data Model and Database Constraints MCQ Chapter 13: Relational Database Design: Algorithms Dependencies MCQ Chapter 14: Schema Definition, Constraints, Queries and Views MCQ The e-Book Data Modeling: Entity Relationship Model MCQs PDF, chapter 1 practice test to solve MCQ questions: Introduction to data modeling, ER diagrams, ERM types constraints, conceptual data models, entity types, sets, attributes and keys, relational database management system, relationship types, sets and roles, UML class diagrams, and weak entity types. The e-Book Database Concepts and Architecture MCQs PDF, chapter 2 practice test to solve MCQ questions: Client server architecture, data independence, data models and schemas, data models categories, database management interfaces, database management languages, database management system classification, database management systems, database system environment, relational database management system, relational database schemas, schemas instances and database state, and three schema architecture. The e-Book Database Design Methodology and UML Diagrams MCQs PDF, chapter 3 practice test to solve MCQ questions: Conceptual database design, UML class diagrams, unified modeling language diagrams, database management interfaces, information system life cycle, and state chart diagrams. The e-Book Database Management Systems MCQs PDF, chapter 4 practice test to solve MCQ questions: Introduction to DBMS, database management system advantages, advantages of DBMS, data abstraction, data independence, database applications history, database approach characteristics, and DBMS end users. The e-Book Disk Storage, File Structures and Hashing MCQs PDF, chapter 5 practice test to solve MCQ questions: Introduction to disk storage, database management systems, disk file records, file organizations, hashing techniques, ordered records, and secondary storage devices. The e-Book Entity Relationship Modeling MCQs PDF, chapter 6 practice test to solve MCQ questions: Data abstraction, EER model concepts, generalization and specialization, knowledge representation and ontology, union types, ontology and semantic web, specialization and generalization, subclass, and superclass. The e-Book File Indexing Structures MCQs PDF, chapter 7 practice test to solve MCQ questions: Multilevel indexes, b trees indexing, single level order indexes, and types of indexes. The e-Book Functional Dependencies and Normalization MCQs PDF, chapter 8 practice test to solve MCQ questions: Functional dependencies, normalization, database normalization of relations, equivalence of sets of functional dependency, first normal form, second normal form, and relation schemas design. The e-Book Introduction to SQL Programming Techniques MCQs PDF, chapter 9 practice test to solve MCQ questions: Embedded and dynamic SQL, database programming, and impedance mismatch. The e-Book Query Processing and Optimization Algorithms MCQs PDF, chapter 10 practice test to solve MCQ questions: Introduction to query processing, and external sorting algorithms. The e-Book Relational Algebra and Calculus MCQs PDF, chapter 11 practice test to solve MCQ questions: Relational algebra operations and set theory, binary relational operation, join and division, division operation, domain relational calculus, project operation, query graphs notations, query trees notations, relational operations, safe expressions, select and project, and tuple relational calculus. The e-Book Relational Data Model and Database Constraints MCQs PDF, chapter 12 practice test to solve MCQ questions: Relational database management system, relational database schemas, relational model concepts, relational model constraints, database constraints, and relational schemas. The e-Book Relational Database Design: Algorithms Dependencies MCQs PDF, chapter 13 practice test to solve MCQ questions: Relational decompositions, dependencies and normal forms, and join dependencies. The e-Book Schema Definition, Constraints, Queries and Views MCQs PDF, chapter 14 practice test to solve MCQ questions: Schemas statements in SQL, constraints in SQL, SQL data definition, and types.