Mongodb Data Modeling And Schema Design
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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 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.
Mongodb Applied Design Patterns
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Author : Rick Copeland
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-03-04
Mongodb Applied Design Patterns written by Rick Copeland and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-04 with Computers categories.
Whether you’re building a social media site or an internal-use enterprise application, this hands-on guide shows you the connection between MongoDB and the business problems it’s designed to solve. You’ll learn how to apply MongoDB design patterns to several challenging domains, such as ecommerce, content management, and online gaming. Using Python and JavaScript code examples, you’ll discover how MongoDB lets you scale your data model while simplifying the development process. Many businesses launch NoSQL databases without understanding the techniques for using their features most effectively. This book demonstrates the benefits of document embedding, polymorphic schemas, and other MongoDB patterns for tackling specific big data use cases, including: Operational intelligence: Perform real-time analytics of business data Ecommerce: Use MongoDB as a product catalog master or inventory management system Content management: Learn methods for storing content nodes, binary assets, and discussions Online advertising networks: Apply techniques for frequency capping ad impressions, and keyword targeting and bidding Social networking: Learn how to store a complex social graph, modeled after Google+ Online gaming: Provide concurrent access to character and world data for a multiplayer role-playing game
Mongodb The Definitive Guide
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Author : Kristina Chodorow
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-05-10
Mongodb The Definitive Guide written by Kristina Chodorow and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-10 with Computers categories.
Manage the huMONGOus amount of data collected through your web application with MongoDB. This authoritative introduction—written by a core contributor to the project—shows you the many advantages of using document-oriented databases, and demonstrates how this reliable, high-performance system allows for almost infinite horizontal scalability. This updated second edition provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Ideal for NoSQL newcomers and experienced MongoDB users alike, this guide provides numerous real-world schema design examples. Get started with MongoDB core concepts and vocabulary Perform basic write operations at different levels of safety and speed Create complex queries, with options for limiting, skipping, and sorting results Design an application that works well with MongoDB Aggregate data, including counting, finding distinct values, grouping documents, and using MapReduce Gather and interpret statistics about your collections and databases Set up replica sets and automatic failover in MongoDB Use sharding to scale horizontally, and learn how it impacts applications Delve into monitoring, security and authentication, backup/restore, and other administrative tasks
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.
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.
Conceptual Modeling
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Author : Gillian Dobbie
language : en
Publisher: Springer
Release Date : 2020-10-28
Conceptual Modeling written by Gillian Dobbie and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-28 with Computers categories.
This book constitutes the refereed proceedings of the 39th International Conference on Conceptual Modeling, ER 2020, which was supposed to be held in Vienna, Austria, in November 2020, but the conference was held virtually due to the COVID-19 pandemic. The 28 full and 16 short papers were carefully reviewed and selected from 143 submissions. This events covers a wide range of topics, and the papers are organized in the following sessions: foundations of conceptual modeling; process mining and conceptual modeling; conceptual modeling of business rules and processes; modeling chatbots, narratives and natural language; ontology and conceptual modeling; applications of conceptual modeling; schema design, evolution, NoSQL; empirical studies of conceptual modeling; networks, graphs and conceptual modeling; and conceptual modeling of complex and data-rich systems.
Mongodb In Action
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Author : Kyle Banker
language : en
Publisher: Manning Publications
Release Date : 2012
Mongodb In Action written by Kyle Banker and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
This comprehensive guide book begins by explaining what makes MongoDB unique. A series of tutorials designed for MongoDB mastery then leads into detailed examples for leveraging MongoDB in e-commerce, social networking, analytics, and other common applications.
Mastering Mongodb
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Author :
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Mongodb written by and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unleash the Full Potential of NoSQL Data Storage In the realm of NoSQL databases, MongoDB stands as a pioneer—a versatile solution that empowers organizations to handle complex data needs with ease. "Mastering MongoDB Database" is your ultimate guide to understanding and harnessing the capabilities of this dynamic platform, offering comprehensive insights into building, managing, and scaling robust data-driven applications. About the Book: As data becomes increasingly diverse and voluminous, the demand for agile and scalable data storage solutions has skyrocketed. "Mastering MongoDB Database" dives deep into MongoDB—a document-oriented NoSQL database—equipping both newcomers and experienced professionals with the tools to harness MongoDB's capabilities for successful application development. Key Features: MongoDB Essentials: Begin with a comprehensive introduction to MongoDB, understanding its architecture, data model, and core principles. Document-Oriented Data Modeling: Explore the unique document-oriented data model of MongoDB. Learn how to design schemas that cater to dynamic and evolving data requirements. Querying and Aggregation: Master the art of querying and aggregating data in MongoDB. Learn about the powerful query language and aggregation framework that enable efficient data retrieval and analysis. Indexes and Performance Optimization: Delve into index creation and optimization strategies that enhance data access speed and overall application performance. Scaling and Sharding: Understand the intricacies of scaling MongoDB for large-scale applications. Learn about horizontal scaling and sharding techniques that accommodate growth. High Availability and Replication: Explore strategies for ensuring high availability and data redundancy through replication. Learn how to set up replica sets to guarantee data durability. Security and Authentication: Grasp the best practices for securing your MongoDB deployment. Learn about authentication mechanisms, access controls, and data encryption. Real-World Use Cases: Gain insights into how MongoDB is applied across industries to solve real-world challenges. From content management systems to IoT platforms, explore versatile applications of MongoDB. Why This Book Matters: In a data-driven world, MongoDB offers a dynamic platform for handling diverse data needs. "Mastering MongoDB Database" empowers database administrators, developers, and technology enthusiasts to tap into MongoDB's potential, enabling them to design and implement applications that excel in the era of data complexity. Unlock the Power of MongoDB: As the data landscape evolves, MongoDB continues to be at the forefront of dynamic data storage solutions. "Mastering MongoDB Database" equips you with the knowledge needed to harness MongoDB's full potential, enabling you to build agile, scalable, and high-performance applications that thrive in the modern data-driven ecosystem. Your journey to mastering MongoDB starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Learn Mongodb 4 X
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Author : Doug Bierer
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-09-11
Learn Mongodb 4 X written by Doug Bierer 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 2020-09-11 with Computers categories.
Design, administer, and deploy high-volume and fault-tolerant database applications using MongoDB 4.x Key FeaturesBuild a powerful and scalable MongoDB database using real industry dataUnderstand the process of designing NoSQL schema with the latest release of MongoDB 4.xExplore the ins and outs of MongoDB, including queries, replication, sharding, and vital admin tasksBook Description When it comes to managing a high volume of unstructured and non-relational datasets, MongoDB is the defacto database management system (DBMS) for DBAs and data architects. This updated book includes the latest release and covers every feature in MongoDB 4.x, while helping you get hands-on with building a MongoDB database app. You’ll get to grips with MongoDB 4.x concepts such as indexes, database design, data modeling, authentication, and aggregation. As you progress, you’ll cover tasks such as performing routine operations when developing a dynamic database-driven website. Using examples, you’ll learn how to work with queries and regular database operations. The book will not only guide you through design and implementation, but also help you monitor operations to achieve optimal performance and secure your MongoDB database systems. You’ll also be introduced to advanced techniques such as aggregation, map-reduce, complex queries, and generating ad hoc financial reports on the fly. Later, the book shows you how to work with multiple collections as well as embedded arrays and documents, before finally exploring key topics such as replication, sharding, and security using practical examples. By the end of this book, you’ll be well-versed with MongoDB 4.x and be able to perform development and administrative tasks associated with this NoSQL database. What you will learnUnderstand how to configure and install MongoDB 4.xBuild a database-driven website using MongoDB as the backendPerform basic database operations and handle complex MongoDB queriesDevelop a successful MongoDB database design for large corporate customers with complex requirementsSecure MongoDB database systems by establishing role-based access control with X.509 transport-level securityOptimize reads and writes directed to a replica set or sharded clusterPerform essential MongoDB administration tasksMaintain database performance through monitoringWho this book is for This book is a MongoDB tutorial for DevOps engineers, database developers, database administrators, system administrators and those who are just getting started with NoSQL and looking to build document-oriented databases and gain real-world experience in managing databases using MongoDB. Basic knowledge of databases and Python is required to get started with this DBMS book.