کتاب های موجود در دسته بندی مدلسازی داده

BGX: a fully Bayesian integrated approach to the analysis of Affymetrix GeneChip data
Published on: 2005
Beginner Data Modeling English

Bayesian GeneChip Affymetrix Bioinformatics Data Analysis
The Essential Criteria of Graph Databases
Published on: 2023
Beginner Data Modeling English

Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability2. Silos, slews of siloed systems …

graph database modeling relationships schema
Principles of Mathematical Modeling, Second Edition
Published on: 2004
Beginner Data Modeling English

Science and engineering students depend heavily on concepts of mathematical modeling. In an age where almost everything is done on …

Mathematical Modeling Applications Analysis Equations
Building Information Modeling: Shared Modeling, Mutual Data, the New Art of Building
Published on: 2024
Beginner Data Modeling English

This book presents how Building Information Modeling (BIM) and the use of shared representation of built assets facilitate design, construction …

BIM collaboration technology architecture construction
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
Published on: 2021
Beginner Data Modeling English

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to …

ETL Analytics Automation Workflow Integration
Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice
Published on: 2015
Beginner Data Modeling English

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of …

MDM Data Governance Integration Strategy Architecture
Statistical analysis of microarray data: a Bayesian approach
Published on: 2003
Beginner Data Modeling English

Bayesian Microarray Statistics Analysis Bioinformatics
The Book of R: A First Course in Programming and Statistics
Published on: 2016
Beginner Data Modeling English

R Programming Statistics Beginners Data Analysis
Dama-Dmbok : data management body of knowledge
Published on: 2017
Beginner Data Modeling English

Data Management Standards Practices Framework
Data Driven Business Transformation : How to Disrupt, Innovate and Stay Ahead of the Competition
Published on: 2019
Beginner Data Modeling English

OPTIMIZE YOUR BUSINESS DATA FOR FIRST-CLASS RESULTS Data Driven Business Transformation illustrates how to find the secrets to fast adaptation …

Data Innovation Disruption Strategy Competition
Data Modeling Essentials, Third Edition
Published on: 2004
Beginner Data Modeling English

Data Modeling Essentials, Third Edition provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning …

modeling database design techniques concepts
IBM Cognos 10 Framework Manager: A comprehensive, practical guide to using this essential tool for modeling your data for use with IBM Cognos Business Intelligence Reporting
Published on: 2013
Beginner Data Modeling English

IBM Cognos 10 Framework Manager is a complete practical guide to using and getting the best out of this essential …

Modeling Data Reporting Framework Cognos
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Published on: 2010
Beginner Data Modeling English

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis …

Bayesian Analysis Tutorial R BUGS
Information Modeling and Relational Databases, Second Edition
Published on: 2008
Beginner Data Modeling English

Information Modeling and Relational Databases, second edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is …

Data Design UML SQL Schema
Empirical Model Building: Data, Models, and Reality (Wiley Series in Probability and Statistics)
Published on: 2011
Beginner Data Modeling English

Praise for the First Edition"This...novel and highly stimulating book, which emphasizes solving real problems...should be widely read. It will have …

Statistics Models Data Analysis Reality
Distributed computer-aided engineering: for analysis, design, and visualization
Published on: 1998;2020
Beginner Data Modeling English

Networking of personal computers and workstations is becoming commonplace in academic and industrial environments. A cluster of workstations provides engineers …

Distributed Computer-aided Engineering Analysis Visualization
Semantic Web for the Working Ontologist, Second Edition: Effective Modeling in RDFS and OWL
Published on: 2011
Beginner Data Modeling English

Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and …

RDFS OWL Modeling Ontology Semantic Web
Graph Databases in Action
Published on: 2020
Beginner Data Modeling English

Relationships in data often look far more like a web than an orderly set of rows and columns. Graph databases …

Neo4j Cypher Modeling Queries Traversal
Visualization Analysis and Design
Published on: 2014
Beginner Data Modeling English

Learn How to Design Effective Visualization Systems Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization …

Visualization Analysis Design Data Techniques
The Book of R: A First Course in Programming and Statistics [Chapters 2-12 ONLY]
Published on: 2016
Beginner Data Modeling English

R is the world's most popular programming language for data analysis and statistical modeling. The Book of R provides an …

R programming statistics data analysis functions vectors
Database Modeling and Design, Fifth Edition: Logical Design (The Morgan Kaufmann Series in Data Management Systems)
Published on: 2011
Beginner Data Modeling English

Data Modeling Logical Design Database Systems Entity-Relationship Model Normalization
Graph Databases: New Opportunities for Connected Data
Published on: 2015
Beginner Data Modeling English

Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how …

NoSQL connected-data graph-theory data-modeling cypher
Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
Published on: 2019
Beginner Data Modeling English

Unsupervised learning is an increasingly important branch of data science, the goal of which is to train models that can …

Unsupervised Python Scikit-Learn TensorFlow Models
Bayesian Artificial Intelligence (Chapman & Hall Crc Computer Science and Data Analysis)
Published on: 2004
Beginner Data Modeling English

As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology …

Bayesian Networks Probabilistic Models Inference Techniques Decision Theory Data Analysis
Artificial Intelligence: A New Synthesis
Published on: 1998
Beginner Data Modeling English

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually …

Intelligent agents Learning Reasoning Planning Robotics
Data Model Patterns: Conventions of Thought
Published on: 1995
Beginner Data Modeling English

I ordered this book from the used book store link on the product home page. The seller claimed that this …

Data Model Patterns Design Information
Time Series Databases: New Ways to Store and Access Data
Published on: 2014
Beginner Data Modeling English

Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide …

Time-series Databases Storage Access Innovations
Oracle Business Intelligence 11g R1 Cookbook: Make complex analytical reports simple and deliver valuable business data using OBIEE 11g with this comprehensive and practical guide
Published on: 2013
Beginner Data Modeling English

Extracting meaningful and valuable business information from transactional databases is crucial for any organization. OBIEE 11g is a reporting tool …

OBIEE Reports Analytics Data Guide
Bayesian Reasoning in Data Analysis: A Critical Introduction
Published on: 2003
Beginner Data Modeling English

This book provides a multi-level introduction to Bayesian reasoning (as opposed to ''conventional statistics'') and its applications to data analysis. …

Bayesian Statistics Data Analysis Probability Introduction
Hands-on Machine Learning with Scikit-Learn and TensorFlow
Published on: 2017
Beginner Data Modeling English

Scikit-Learn TensorFlow Deep Learning Neural Networks AI
Thinking Programs: Logical Modeling and Reasoning About Languages, Data, Computations, and Executions
Published on: 2021
Beginner Data Modeling English

This book describes some basic principles that allow developers of computer programs (computer scientists, software engineers, programmers) to clearly think …

Logic Modeling Computation Languages Execution
Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
Published on: 2005
Beginner Data Modeling English

Researchers in many branches of science are increasingly coming into contact with Bayesian statistics or Bayesian probability theory. This book …

Bayesian Data Analysis Physics Mathematica Comparative
Practical Data Analysis and Reporting with BIRT: Use the Open-Source Eclipse-Based Business Intelligence and Reporting Tools System to Design and Create Reports as Quickly as Possible
Published on: 2008
Beginner Data Modeling English

In DetailBIRT, which stands for Business Intelligence and Reporting Tools, is actually a development framework. Including the word "Tools" in …

BIRT Eclipse Reporting Open-source Business Intelligence
Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians
Published on: 2011
Beginner Data Modeling English

Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists …

Bayesian Statistics Data Analysis Inference Probability
Pipeline Real-time Data Integration and Pipeline Network Virtual Reality System: Digital Oil & Gas Pipeline: Research and Practice (SpringerBriefs in Geography)
Published on: 2021
Beginner Data Modeling English

As the second volume of the "Digital Oil & Gas Pipeline: Research and Practice" series of monographs, this book introduces …

Real-time Data Integration Virtual Reality Digital Pipeline Oil & Gas
Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS
Published on: 2010
Beginner Data Modeling English

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis …

Bayesian Analysis R BUGS Tutorial
Business Intelligence: The Savvy Manager's Guide
Published on: 2003
Beginner Data Modeling English

Interesting, timely, and above all, useful, Savvy Guides give IT managers the information they need to effectively manage their technologists, …

Analytics Data Decision-making Strategy Tools
Information Architecture: Blueprints for the Web (2nd Edition)
Published on: 2009
Beginner Data Modeling English

This book is not meant for specialized Information Architects, rather it is aimed at Designers who need to perform IA …

UX Navigation Design Structure Usability
Information Architecture: Blueprints for the Web (2nd Edition, 2009)
Published on: 2009
Beginner Data Modeling English

Information Architecture: Blueprints for the Web, Second Edition introduces the core concepts of information architecture: organizing web site content so …

Information Structure Users Design Navigation
Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems)
Published on: 2001
Beginner Data Modeling English

I am a proud owner of Visio for Enterprise Architects, the only case tool I own, and I've have also …

Entity-relationship Relational databases Conceptual design Logical design Data modeling

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مدل‌سازی داده‌ها

مدل‌سازی داده‌ها فرایندی حیاتی در مدیریت و تحلیل داده‌ها است که به سازمان‌ها امکان می‌دهد تا ساختار داده‌های خود را بهینه و به‌طور موثری مدیریت کنند. این فرآیند به ویژه در عصر امروزی که داده‌ها به عنوان یکی از ارزشمند‌ترین دارایی‌های سازمان‌ها شناخته می‌شوند، اهمیت ویژه‌ای دارد.

اهمیت مدل‌سازی داده‌ها

در بسیاری از سازمان‌ها، حجم عظیمی از داده‌ها توسط سیستم‌های مختلف تولید و جمع‌آوری می‌شود. به همین دلیل، نیاز به نگهداری، دسته‌بندی و تحلیل دقیق این داده‌ها بیشتر از همیشه احساس می‌شود. مدل‌سازی داده‌ها ابزاری بی‌نظیر برای این منظورها است که به سازمان‌ها کمک می‌کند تا ساختاری منطقی و قابل مدیریت برای داده‌های خود ایجاد کنند.

روش‌های مدل‌سازی داده‌ها

روش‌های مدل‌سازی داده‌ها به دو بخش اصلی تقسیم می‌شوند: مدل‌سازی مفهومی و مدل‌سازی منطقی. مدل‌سازی مفهومی به ایجاد نمای کلی از ساختار داده‌ها می‌پردازد، در حالی که مدل‌سازی منطقی بر روی جزئیات ساختاری و نحوه ذخیره‌سازی داده‌ها تمرکز دارد. این دو روش به ویژه زمانی که با هم ترکیب شوند، قدرت تحلیلی و مدیریت داده‌ها را چندین برابر می‌کنند.

الگوهای معروف مدل‌سازی

در دنیای مدل‌سازی داده‌ها، چندین الگوی معروف وجود دارد که به‌طور گسترده‌ای در صنایع مختلف استفاده می‌شود. برخی از این الگوها شامل مدل‌سازی رابطه‌ای، مدل‌سازی موجودیت-رابطه (ERD)، مدل‌سازی شی‌گرا و مدل‌سازی سلسله‌مراتبی هستند. هر یک از این الگوها ویژگی‌ها و مزایای خاص خود را دارند و بسته به نیازهای خاص سازمان، انتخاب می‌شوند.

اهمیت مدل‌های داده‌ای برای کسب و کارها

مدل‌های داده‌ای نه تنها در زمینه فناوری اطلاعات اهمیت دارند، بلکه می‌توانند تاثیر مستقیمی بر عملکرد تجاری و کسب و کارها داشته باشند. با استفاده از مدل‌سازی داده‌ها، سازمان‌ها قادر خواهند بود تا فرآیند تصمیم‌گیری خود را بهبود بخشند، الگوهای مخفی در داده‌ها را کشف کنند و استراتژی‌های تجاری بهینه‌تری توسعه دهند.

نرم‌افزارها و ابزارهای مدل‌سازی داده‌ها

امروزه، بازار پر از نرم‌افزارها و ابزارهای مدل‌سازی داده‌ها است. برخی از شناخته شده‌ترین این ابزارها شامل ER/Studio، IBM InfoSphere Data Architect، و Lucidchart هستند. این ابزارها امکانات و ویژگی‌های متنوعی برای طراحی، مستندسازی، و مدیریت مدل‌های داده‌ای فراهم می‌کنند و به کاربران اجازه می‌دهند تا داده‌ها را به شکل بصری تحلیل و مدیریت کنند.

چالش‌های مدل‌سازی داده‌ها

رغم مزایای فراوان، مدل‌سازی داده‌ها با چالش‌هایی نیز همراه است. یکی از اصلی‌ترین چالش‌ها، پیچیدگی ذاتی سیستم‌های اطلاعاتی و حجم انبوه داده‌ها است که مدل‌سازی صحیح آن‌ها به دانش و تجربه کافی نیاز دارد. همچنین، تغییرات مداوم در تکنولوژی و نیازهای تجاری ممکن است اثرات جانبی بر مدل‌های داده‌ای بگذارد که پیش‌بینی و مدیریت آن به رویکردهای جامع و انعطاف‌پذیر نیاز دارد.

آینده مدل‌سازی داده‌ها

با توجه به افزایش روزافزون اهمیت داده‌محوری در دنیای امروز، آینده روشنی برای مدل‌سازی داده‌ها پیش‌بینی می‌شود. تکنولوژی‌های نوین مانند هوش مصنوعی و یادگیری ماشین، مدل‌سازی داده‌ها را به سطحی جدید از توانمندی‌ها می‌رسانند. انتظار می‌رود که ابزارها و تکنیک‌هایی که قادر به پردازش و تحلیل خودکار داده‌ها هستند، نقش بسزایی در توسعه این حوزه بازی کنند.

در Refhub.ir، کتاب‌های متعددی تحت دسته‌بندی مدل‌سازی داده‌ها موجود است که به شما کمک می‌کند تا دانش خود را در این زمینه تکمیل کرده و از نوآوری‌های جدید و بهترین شیوه‌ها بهره‌مند شوید. شما می‌توانید با مطالعه این منابع، توانایی‌های خود را در زمینه مدل‌سازی داده‌ها بهبود دهید و به بهره‌وری هرچه بیشتر در سازمان خود دست یابید.