Data Modeling For Mongodb
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Data Modeling For Mongodb
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Author : Steve Hoberman
language : en
Publisher: Technics Publications
Release Date : 2014-06-01
Data Modeling For Mongodb written by Steve Hoberman and has been published by Technics Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-01 with Computers categories.
Congratulations! You completed the MongoDB application within the given tight timeframe and there is a party to celebrate your application’s release into production. Although people are congratulating you at the celebration, you are feeling some uneasiness inside. To complete the project on time required making a lot of assumptions about the data, such as what terms meant and how calculations are derived. In addition, the poor documentation about the application will be of limited use to the support team, and not investigating all of the inherent rules in the data may eventually lead to poorly-performing structures in the not-so-distant future. Now, what if you had a time machine and could go back and read this book. You would learn that even NoSQL databases like MongoDB require some level of data modeling. Data modeling is the process of learning about the data, and regardless of technology, this process must be performed for a successful application. You would learn the value of conceptual, logical, and physical data modeling and how each stage increases our knowledge of the data and reduces assumptions and poor design decisions. Read this book to learn how to do data modeling for MongoDB applications, and accomplish these five objectives: Understand how data modeling contributes to the process of learning about the data, and is, therefore, a required technique, even when the resulting database is not relational. That is, NoSQL does not mean NoDataModeling! Know how NoSQL databases differ from traditional relational databases, and where MongoDB fits. Explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts, and learn the basics of adding, querying, updating, and deleting data in MongoDB. Practice a streamlined, template-driven approach to performing conceptual, logical, and physical data modeling. Recognize that data modeling does not always have to lead to traditional data models! Distinguish top-down from bottom-up development approaches and complete a top-down case study which ties all of the modeling techniques together. This book is written for anyone who is working with, or will be working with MongoDB, including business analysts, data modelers, database administrators, developers, project managers, and data scientists. There are three sections: In Section I, Getting Started, we will reveal the power of data modeling and the tight connections to data models that exist when designing any type of database (Chapter 1), compare NoSQL with traditional relational databases and where MongoDB fits (Chapter 2), explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts (Chapter 3), and explain the basics of adding, querying, updating, and deleting data in MongoDB (Chapter 4). In Section II, Levels of Granularity, we cover Conceptual Data Modeling (Chapter 5), Logical Data Modeling (Chapter 6), and Physical Data Modeling (Chapter 7). Notice the “ing” at the end of each of these chapters. We focus on the process of building each of these models, which is where we gain essential business knowledge. In Section III, Case Study, we will explain both top down and bottom up development approaches and go through a top down case study where we start with business requirements and end with the MongoDB database. This case study will tie together all of the techniques in the previous seven chapters. Nike Senior Data Architect Ryan Smith wrote the foreword. Key points are included at the end of each chapter as a way to reinforce concepts. In addition, this book is loaded with hands-on exercises, along with their answers provided in Appendix A. Appendix B contains all of the book’s references and Appendix C contains a glossary of the terms used throughout the text.
Mongodb Data Modeling And Schema Design
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Author : Daniel Coupal
language : en
Publisher:
Release Date : 2023-05-24
Mongodb Data Modeling And Schema Design written by Daniel Coupal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-24 with categories.
Each book in the Align > Refine > Design series covers conceptual, logical, and physical data modeling (schema design) for a specific database product, combining the best of data modeling practices with solution-specific considerations, which lead to effective communication tools and extensible datastore foundations. Read MongoDB Data Modeling and Schema Design if you are a data architect or modeler who needs to expand your modeling skills to include MongoDB, or if you are a database administrator or developer who knows MongoDB but needs to expand your schema design skills. The book's introduction and three chapters cover the proven approach. The introduction covers the three modeling characteristics of precise, minimal, and visual; the three model components of entities, relationships, and attributes; the three model levels of conceptual (align), logical (refine), and physical (design); the three modeling perspectives of relational, dimensional, and NoSQL; and the three modeling challenges with NoSQL (tactical, strategy, and cultural). Next, Chapter 1 covers Align, Chapter 2 Refine, and Chapter 3 Design. An animal shelter case study creates continuity across these three modeling levels. If you are interested in learning how to build multiple database solutions, read all the books in the Align > Refine > Design series. Since each book is created from the same template, once you read one, you'll be able to pick up the techniques for another database solution quickly.
Mongodb Recipes
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Author : Subhashini Chellappan
language : en
Publisher: Apress
Release Date : 2019-12-13
Mongodb Recipes written by Subhashini Chellappan and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Computers categories.
Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss. MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. You’ll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB. What You Will Learn Work with the MongoDB document model Design MongoDB schemas Use the MongoDB query language Harness the aggregation framework Create replica sets and sharding in MongoDB Who This Book Is ForDevelopers and professionals who work with MongoDB.
Mongodb Data Modeling
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Author : Wilson Da Rocha Franca
language : en
Publisher:
Release Date : 2015
Mongodb Data Modeling written by Wilson Da Rocha Franca and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computers categories.
This book is intended for database professionals, software developers, and architects who have some previous experience with MongoDB and now want to shift their focus to the concepts of data modeling. If you wish to develop better schema designs for MongoDB-based applications, this book is ideal for you.
Nosql Data Modeling Using Mongodb As An Example And Recorded Live At Data Modeling Zone Us
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Author : Austin Zellner
language : en
Publisher:
Release Date : 2020
Nosql Data Modeling Using Mongodb As An Example And Recorded Live At Data Modeling Zone Us written by Austin Zellner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Recorded live at Data Modeling Zone! Follow along with MongoDB expert Austin Zellner and become competent in NoSQL data modeling in this sixth topic in the NoSQL Complete course. Know the difference between referencing data and embedding data. When in doubt, embed your data. Learn how to combine data and state in the same collection. Learn about modern use case patterns including microservices. Know how to model multi-document ACID transactions. Learn about master files and working files in MongoDB.
The 10th International Conference On Science And Technology Icst
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Author : Ganjar Alfian
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2025-10-13
The 10th International Conference On Science And Technology Icst written by Ganjar Alfian and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-13 with Technology & Engineering categories.
Selected peer-reviewed full text papers from the 10th International Conference on Science and Technology (ICST UGM 2024) Selected peer-reviewed full text papers from the 10th International Conference on Science and Technology (ICST UGM 2024), October 23-24, 2024, Yogyakarta, Indonesia
A Novel Approach Of Hybrid Data Model In Mongodb
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Author : Anuradha Kanade
language : en
Publisher:
Release Date : 2015
A Novel Approach Of Hybrid Data Model In Mongodb written by Anuradha Kanade and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
NoSQL databases are becoming popular day-by-day. With the invention of Web 2.0 and mobile applications like Facebook, Twitter and What's App, tremendous amount of unstructured data is generated every time. Handling such data effectively had become a challenging job today. There are many companies that are using NoSQL databases to handle such big amount of data. Many websites are providing the list of a few top NoSQL databases that are more popularly used these days. One of the topmost databases is MongoDB. The tasks like search suggestions, cloud management, storage of metadata, categorization of merchandise, etc. are performed by MongoDB efficiently. eBay website provides search suggestions which is one of the features of eBay. MongoDB provides all the search suggestions very quickly. MongoDB is ranked among the world's top five NoSQL databases by many websites and organizations. The schema designing is the major activity in the database application. The paper presents the study of the behavior of MongoDB with respect to the changing modeling style and shows some key features observed during the data modeling in MongoDB. A novel approach of data modeling, viz., 'Hybrid', is suggested to improve the database.
Design With Mongodb
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Author : Alessandro Fiori
language : en
Publisher:
Release Date : 2020-11-02
Design With Mongodb written by Alessandro Fiori and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with categories.
The world of NoSQL databases is constantly evolving. Many applications are adopting these new technologies to provide developers with increasingly powerful tools. One of their prominent hallmarks is the freedom from having to define a database model ahead - a feature known as being "schemaless". MongoDB, the market leader in NoSQL document databases, has made this feature its strong point. An unprecedented level of flexibility makes MongoDb an incredibly powerful tool, but may likewise compromise performance, if not properly tamed. The design of database models, therefore, becomes fundamental to achieving the best performance. In this book we will analyze some use cases and identify optimal modeling patterns, by taking into account the constraints of the application context. We will pinpoint the benefits, but also the tradeoffs that come with each pattern. These patterns will become our tools of the trade for taking full advantage of the power and flexibility of this document database, and building efficient applications.
Mongodb Essentials
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Author : The MongoDB Team
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-09-05
Mongodb Essentials written by The MongoDB Team and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-05 with Computers categories.
Get started fast with MongoDB architecture, core operations, and AI-powered tools for building intelligent applications Key Features Quickly grasp the MongoDB architecture and distributed design principles Learn practical data modeling, CRUD operations, and aggregation techniques Explore AI-enabled tools for building intelligent applications with MongoDB Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionModern applications demand flexibility, speed, and intelligence, and MongoDB delivers all three. This mini guide wastes no time, offering a concise, practical introduction to handling data flexibly and efficiently with MongoDB. MongoDB Essentials helps developers, architects, database administrators, and decision makers get started quickly and confidently. The book introduces MongoDB’s core principles, from the document data model to its distributed architecture, including replica sets and sharding. It then helps you build hands-on skills such as installing MongoDB, designing effective data schemas, performing CRUD operations, and working with the aggregation pipeline. You’ll discover performance tips along the way and learn how AI-enhanced tools like Atlas Search and Atlas Vector Search power intelligent application development. With clear explanations and a practical approach, this book gives you the foundation and skills you need to start working with MongoDB right away.What you will learn Understand MongoDB's document model and architecture Set up local MongoDB deployments quickly Design schemas tailored to application access patterns Perform CRUD and aggregation operations efficiently Use tools to optimize query performance and scalability Explore AI-powered features such as Atlas Search and Atlas Vector Search Who this book is for This book is for anyone looking to explore MongoDB, including students, developers, system architects, managers, database administrators, and decision makers who want to familiarize themselves with what a modern database can offer. Whether you're building your first application or exploring what MongoDB can do for you, this book is the idea starting point for your MongoDB journey.
Nosql Structures
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Author : Austin Zellner
language : en
Publisher:
Release Date : 2020
Nosql Structures written by Austin Zellner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Recorded live at Data Modeling Zone! Follow along with MongoDB expert Austin Zellner and be able to explain the NoSQL perspective on conceptual, logical, and physical data models. For physical structures, become familiar with Document, Tabular, Key-Value, Graph, GeoSpatial, and Text. Know the concept of schemaless. Learn how document databases store data in JSON and BSON (Binary JSON). Many examples are provided. Learn about MongoDB object ids. Learn more about key-value databases, and get a taste of Amazon Dynamo. GeoJSON is explained as well.