کتاب های موجود در دسته بندی Big Data

Social Network Based Big Data Analysis and Applications
Published on: 2018
Unordered Big Data English

This book is a timely collection of chapters that present the state of the art within the analysis and application …

Data Mining Networking Algorithms Analytics Visualization
Behind Every Good Decision
Published on: 2013
Beginner Big Data English

There is a costly misconception in business today—that the only data that matters is BIG data, and that complex tools …

Data Analytics Business Decisions Strategy
AI and Big Data's Potential for Disruptive Innovation
Published on: 2019
Beginner Big Data English

Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend―a new …

AI Big Data Innovation Disruption Technology
Artificial Intelligence: Foundations of Computational Agents
Published on: 2010
Beginner Big Data English

Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of …

AI Computational Agents Learning Knowledge
Data Science Strategy For Dummies
Published on: 2019
Beginner Big Data English

All the answers to your data science questions Over half of all businesses are using data science to generate insights …

Data-driven Strategy Analytics Business Implementation
Data analysis and visualization in genomics and proteomics
Published on: 2005
Beginner Big Data English

Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this …

genomics proteomics data analysis visualization bioinformatics
Big Data Analytics: Turning Big Data into Big Money
Published on: 2012
Beginner Big Data English

Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and …

Big Data Analytics Money Insights Strategies
Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud
Published on: 2020
Beginner Big Data English

For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The Deitels’ Introduction …

Python AI Data Science Big Data Cloud
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Published on: 2016
Beginner Big Data English

Long-listed for the National Book AwardA former Wall Street quant sounds an alarm on the mathematical models that pervade modern …
Info We Trust: How to Inspire the World with Data
Published on: 2019
Beginner Big Data English

How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes …

data storytelling visualization inspiration creativity
The data industry: the business and economics of information and big data
Published on: 2016
Beginner Big Data English

Information Visualization: Perception for Design
Published on: 2004
Beginner Big Data English

This is the first book to combine a strictly scientific approach to human perception with a practical concern for the …

Visualization Perception Design Graphics Cognition
Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage
Published on: 2018
Beginner Big Data English

Many senior executives talk about information as one of their most important assets, but few behave as if it is. …

Data Asset Monetize Management Competitive
How to Lie With Statistics
Published on: 1993
Beginner Big Data English

"There is terror in numbers," writes Darrell Huff in How to Lie with Statistics. And nowhere does this terror translate …

Deception Statistics Misleading Analysis Interpretation
Information Visualization, Third Edition: Perception for Design
Published on: 2012
Beginner Big Data English

Information Visualization: Perception for Design is a comprehensive guide to what the science of human perception tells us about how …

Visualization Perception Design Insight Data
Analytics in a Big Data World: The Essential Guide to Data Science and its Applications
Published on: 2014
Beginner Big Data English

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses …

Data Science Big Data Analytics Applications Guide
Big Data For Dummies
Published on: 2013
Beginner Big Data English

Find the right big data solution for your business or organizationBig data management is one of the major challenges facing …

Analytics Hadoop Insights Cloud Tools
Big Data Imperatives
Published on: 2013
Beginner Big Data English

Big Data Imperatives, focuses on resolving the key questions on everyones mind: Which data matters? Do you have enough data …

Big Data Analytics Hadoop Business Technology
Big Data Analytics for Connected Vehicles and Smart Cities
Published on: 2017
Beginner Big Data English

This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This …
Big Data Analytics: Second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, Proceedings
Published on: 2013
Beginner Big Data English

This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held …

Big Data Analytics Conference Proceedings India
Data Visualization: A Practical Introduction
Published on: 2019
Beginner Big Data English

An accessible primer on how to create effective graphics from data. This book provides students and researchers a hands-on introduction …

Data Visualization Techniques Tools Practical
The Fourth Paradigm: Data-Intensive Scientific Discovery
Published on: 2009
Beginner Big Data English

This book presents the first broad look at the rapidly emerging field of data-intensive science, with the goal of influencing …

data-intensive discovery science research computation
Making Sense of Data and Information
Published on: 2007
Beginner Big Data English

Managers need to be able to make sense of data and to use it selectively to answer key questions: Why …

data information analysis decision-making interpretation
Principles of Big Data. Preparing, Sharing, and Analyzing Complex Information
Published on: 2013
Beginner Big Data English

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental …

Big Data Data Analysis Data Sharing Data Preparation Information Management
The rise of big data policing : surveillance, race, and the future of law enforcement
Published on: 0
Beginner Big Data English

surveillance race policing big data law enforcement
Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data: First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers
Published on: 2016
Unordered Big Data English

This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in …

Knowledge Graph Semantic Computing Linked Data Big Data CCKS 2016
Big Data: Principles and best practices of scalable realtime data systems
Published on: 2015
Intermediate Big Data English

SummaryBig Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with …

Scalable Realtime Data Systems Principles Best Practices
Visualizing Data
Published on: 2008
Beginner Big Data English

a good book . On one hand for learning Processing on the other hand for (basic) visualizing techniques. A lot …

data visualization graphics techniques analysis
Treemaps: visualizing hierarchical and categorical data
Published on: 1993
Beginner Big Data English

Treemaps Visualization Hierarchical Categorical Data
Thinking With Data
Published on: 2007
Beginner Big Data English

The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium …

data analysis decision-making statistics strategy
Graphics of Large Data Sets: Visualizing a Million
Published on: 2006
Beginner Big Data English

Graphics are great for exploring data, but how can they be used for looking at the large datasets that are …

Visualization Graphics Large Data Statistical Analysis Interactive
Making Sense of Data through Statistics: An Introduction
Published on: 2017
Beginner Big Data English

statistics data analysis introduction methods
Applied Predictive Analytics
Published on: 0
Beginner Big Data English

Predictive Analytics Data Modeling Techniques
Value Proposition: A New “Long March” & E³ Economy on China’s Integrated Development of Internet, Big Data, AI and Manufacturing Industry
Published on: 2020
Beginner Big Data English

The book discusses, elaborates on and answers questions to the following points: Firstly, what has changed through the information technology …

Internet Big Data AI Manufacturing China
SQL Server Big Data Clusters : Data Virtualization, Data Lake, and AI Platform
Published on: 2020
Beginner Big Data English

Use this guide to one of SQL Server 2019’s most impactful features—Big Data Clusters. You will learn about data virtualization …

SQL Server Big Data Data Virtualization Data Lake AI
Mastering Hadoop
Published on: 2014
Beginner Big Data English

Hadoop Big Data MapReduce HDFS Analytics
Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI: 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Oak Ridge, TN, USA, August 26-28, 2020, Revised Selected Paper
Published on: 2021
Beginner Big Data English

This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held …

HPC Big Data AI Computational Science Engineering
Scaling Big Data with Hadoop and Solr
Published on:
Beginner Big Data English

Packt Publishing, 2013. — 144 p. — ISBN-13: 978-1-78328-137-4.На англ. языке.As data grows exponentially day-by-day, extracting information becomes a tedious …

Hadoop Solr Big Data Scaling Search
The Perfect Bet: How Science and Math Are Taking the Luck Out of Gambling
Published on:
Beginner Big Data English

Basic Books, 2016. — 206 p. — ISBN-10: 0465055958. — ISBN-13: 978-0465055951There is one thing about gambling that everyone knows: …

gambling science math probability strategy
Big Data and Ethics. The Medical Datasphere
Published on: 2016
Beginner Big Data English

Faced with the exponential development of Big Data and both its legal and economic repercussions, we are still slightly in …

Big Data Ethics Medicine Datasphere Privacy

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معرفی دسته‌بندی کلان داده‌ها (Big Data)

در دنیای مدرن امروزی، کلان داده‌ها به یکی از مهم‌ترین منابع برای کسب‌وکارها و صنایع مختلف تبدیل شده‌اند. از مدیریت هوشمند شهری گرفته تا پزشکی و اقتصاد، کاربرد کلان داده‌ها غیرقابل اغماض است.

کلان داده چیست؟

کلان داده‌ها (Big Data) به مجموعه‌ای از داده‌ها گفته می‌شود که به دلیل حجم بالا، سرعت تولید یا تنوع، با ابزارهای سنتی و معمول پردازش داده قابل مدیریت نیستند. این داده‌ها می‌توانند از منابع مختلفی جمع‌آوری شوند و اغلب به شکل بدون ساختار هستند، به گونه‌ای که برای تحلیل و استخراج اطلاعات مفید، به روش‌ها و الگوریتم‌های پیشرفته‌ای نیاز است.

کاربردهای کلان داده‌ها

کلان داده‌ها در حوزه‌های مختلفی به کار می‌رود و کارایی فراوانی دارد. در زیر به برخی از کاربردهای مهم آن اشاره می‌کنیم:

  • بهبود فرآیندهای کسب‌وکار: با تحلیل داده‌های مشتریان و بازار، سازمان‌ها می‌توانند فرآیندهای خود را بهینه‌سازی کرده و تصمیمات بهتری بگیرند.
  • سلامت و پزشکی: کلان داده‌ها به تحلیل اطلاعات پزشکی و بهبود تشخیص و درمان بیماران کمک می‌کند.
  • مدیریت شهری: با استفاده از داده‌های بزرگ، مدیریت هوشمند شهری و برنامه‌ریزی بهینه‌تر انجام می‌شود.
  • تحلیل رفتار مصرف‌کننده: سازمان‌ها می‌توانند نیازها و رفتار مشتریان را بهتر درک کنند و خدمات شخصی‌سازی شده ارائه دهند.

ویژگی‌های کلان داده‌ها

کلان داده‌ها دارای ویژگی‌هایی خاص هستند که آن‌ها را از دیگر انواع داده‌ها متمایز می‌کند. برخی از این ویژگی‌ها عبارتند از:

  • حجم (Volume): حجم بالای داده‌ها که پردازش آن به زیرساخت‌های پیچیده‌تری نیاز دارد.
  • سرعت (Velocity): سرعت بالای تولید و پردازش داده‌ها، که نیازمند واکنش‌های سریع است.
  • تنوع (Variety): داده‌هایی با ساختارهای مختلف شامل متنی، تصویری، ویدئویی و غیره.
  • صحت (Veracity): اعتبار و دقت داده‌ها که باید تضمین شود تا نتایج تحلیل قابل اعتماد باشد.

چالش‌های مرتبط با کلان داده‌ها

مدیریت و بهره‌برداری از کلان داده‌ها چالش‌های خاص خود را دارد که در این بخش به برخی از آن‌ها می‌پردازیم:

  • پردازش و ذخیره‌سازی: با توجه به حجم بالای داده‌ها، زیرساخت‌های ذخیره‌سازی و پردازش کارآمد ضروری است.
  • امنیت و حریم خصوصی: حفظ امنیت و حریم خصوصی داده‌ها به خصوص در زمینه‌های حساس مانند پزشکی و مالی بسیار مهم است.
  • کیفیت داده: اطمینان از صحت و دقت داده‌ها برای تحلیل‌های موثر الزامی است.
  • تفسیر و تحلیل: تحلیل درست داده‌ها و تفسیر نتایج برای تصمیم‌گیری صحیح ضروری است.

ابزارها و تکنولوژی‌های کلان داده‌ها

برای پردازش و تحلیل کلان داده‌ها از ابزارها و تکنولوژی‌های خاصی استفاده می‌شود. برخی از این ابزارها شامل Apache Hadoop، Apache Spark و NoSQL Databases هستند که هر یک قابلیت‌ها و ویژگی‌های خاص خود را دارند و می‌توانند به سازمان‌ها در بهره‌برداری حداکثری از داده‌ها کمک کنند.

نتیجه‌گیری

کلان داده‌ها فرصتی بی‌نظیر برای ایجاد ارزش‌های جدید در کسب‌وکارها و بهبود فرآیندها ارائه می‌دهند. با بهره‌گیری از تکنولوژی‌های نوین و تخصص در تحلیل داده‌ها، سازمان‌ها می‌توانند در مسیر رشد و توسعه پایدار حرکت کنند.