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Author:
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 260
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Book Description
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
Author:
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 260
Get Book Here
Book Description
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
Author: Marko Aleksendrić
Publisher: Packt Publishing Ltd
ISBN: 1835463193
Category : Computers
Languages : en
Pages : 435
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Book Description
Gain MongoDB expertise and discover advanced queries and Atlas insights with this ultimate guide to version 7.0 Key Features Enhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performance Monitor, back up, and integrate applications effortlessly with MongoDB Atlas Implement security thorough RBAC, auditing, and encryption to ensure comprehensive data protection and privacy Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB’s architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today’s organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0’s deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you’ll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You’ll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.What you will learn Execute advanced MongoDB queries for intricate data insights Harness the power of aggregation pipelines to transform data Ensure data integrity with multi-document ACID transactions Optimize query performance using strategic indexing techniques Navigate MongoDB Atlas seamlessly for monitoring and backups Enable robust search functionality with Atlas Search Master RBAC, user management, and data encryption for security Implement auditing practices for transparency and accountability Who this book is for This book is for developers with an intermediate skill level who aim to become MongoDB experts. Working knowledge of MongoDB is recommended to gain the most from this guide. Ideal for database administrators, app developers, and software engineers, this book will assist you in developing advanced skills to conquer intricate data tasks.
Author: Kristina Chodorow
Publisher: "O'Reilly Media, Inc."
ISBN: 1449303870
Category : Computers
Languages : en
Pages : 66
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Book Description
Create a MongoDB cluster that will grow to meet the needs of your application. With this short and concise book, you'll get guidelines for setting up and using clusters to store a large volume of data, and learn how to access the data efficiently. In the process, you'll understand how to make your application work with a distributed database system. Scaling MongoDB will help you: Set up a MongoDB cluster through sharding Work with a cluster to query and update data Operate, monitor, and backup your cluster Plan your application to deal with outages By following the advice in this book, you'll be well on your way to building and running an efficient, predictable distributed system using MongoDB.
Author: Machado, José
Publisher: IGI Global
ISBN: 1799891739
Category : Computers
Languages : en
Pages : 360
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Book Description
Developing new approaches and reliable enabling technologies in the healthcare industry is needed to enhance our overall quality of life and lead to a healthier, innovative, and secure society. Further study is required to ensure these current technologies, such as big data analytics and artificial intelligence, are utilized to their utmost potential and are appropriately applied to advance society. Big Data Analytics and Artificial Intelligence in the Healthcare Industry discusses technologies and emerging topics regarding reliable and innovative solutions applied to the healthcare industry and considers various applications, challenges, and issues of big data and artificial intelligence for enhancing our quality of life. Covering a range of topics such as electronic health records, machine learning, and e-health, this reference work is ideal for healthcare professionals, computer scientists, data analysts, researchers, practitioners, scholars, academicians, instructors, and students.
Author: Anghel Leonard
Publisher: Apress
ISBN: 1430257954
Category : Computers
Languages : en
Pages : 377
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Book Description
Hibernate and MongoDB are a powerful combination of open source persistence and NoSQL technologies for today's Java-based enterprise and cloud application developers. Hibernate is the leading open source Java-based persistence, object relational management engine, recently repositioned as an object grid management engine. MongoDB is a growing, popular open source NoSQL framework, especially popular among cloud application and big data developers. With these two, enterprise and cloud developers have a "complete out of the box" solution. Pro Hibernate and MongoDB shows you how to use and integrate Hibernate and MongoDB. More specifically, this book guides you through the bootstrap; building transactions; handling queries and query entities; and mappings. Then, this book explores the principles and techniques for taking these application principles to the cloud, using the OpenShift Platform as a Service (PaaS) and more. In this book, you get two case studies: An enterprise application using Hibernate and MongoDB. then, A cloud application (OpenShip) migrated from the enterprise application case study After reading or using this book, you come away with the experience from two case studies that give you possible frameworks or templates that you can apply to your own specific application or cloud application building context.
Author: Kyle Banker
Publisher: Simon and Schuster
ISBN: 1638353565
Category : Computers
Languages : en
Pages : 680
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Book Description
Summary MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This document-oriented database was built for high availability, supports rich, dynamic schemas, and lets you easily distribute data across multiple servers. MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads. About the Book MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Lots of examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment. What's Inside Indexes, queries, and standard DB operations Aggregation and text searching Map-reduce for custom aggregations and reporting Deploying for scale and high availability Updated for Mongo 3.0 About the Reader Written for developers. No previous MongoDB or NoSQL experience is assumed. About the Authors After working at MongoDB, Kyle Banker is now at a startup. Peter Bakkum is a developer with MongoDB expertise. Shaun Verch has worked on the core server team at MongoDB. A Genentech engineer, Doug Garrett is one of the winners of the MongoDB Innovation Award for Analytics. A software architect, Tim Hawkins has led search engineering at Yahoo Europe. Technical Contributor: Wouter Thielen. Technical Editor: Mihalis Tsoukalos. Table of Contents PART 1 GETTING STARTED A database for the modern web MongoDB through the JavaScript shell Writing programs using MongoDB PART 2 APPLICATION DEVELOPMENT IN MONGODB Document-oriented data Constructing queries Aggregation Updates, atomic operations, and deletes PART 3 MONGODB MASTERY Indexing and query optimization Text search WiredTiger and pluggable storage Replication Scaling your system with sharding Deployment and administration
Author: Amol Nayak
Publisher:
ISBN: 9781782169703
Category : Computers
Languages : en
Pages : 72
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Book Description
Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks. MongoDB Starter is a fast and practical guide designed to help you start developing high-performance and scalable applications using MongoDB.MongoDB Starter is ideal for developers who are new to MongoDB and who need a no-nonsense guide on how to start working with it. No knowledge of MongoDB is required to follow this book, but some knowledge of C++ would be helpful.
Author: Steve Hoberman
Publisher: Technics Publications
ISBN: 1634620410
Category : Computers
Languages : en
Pages : 226
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Book Description
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.
Author: Justin Jenkins
Publisher: BPB Publications
ISBN: 9355518250
Category : Computers
Languages : en
Pages : 433
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Book Description
Unlock a world of job opportunities and accelerate your career growth by mastering MongoDB KEY FEATURES ● Master the fundamental principles of Schema Design, Querying, and Database Administration. ● Explore advanced topics, including Aggregation, Replication, and Sharding. ● Develop a fully functional application utilizing MongoDB Cloud Services. DESCRIPTION MongoDB for Jobseekers serves as the ultimate companion, providing assistance and support throughout your entire MongoDB learning journey. Whether you are an experienced professional exploring new career paths or an aspiring jobseeker looking to enhance your opportunities, this comprehensive guide is specifically designed to cater to your needs. From the basics to advanced concepts, MongoDB for Jobseekers offers a well-structured approach to understanding the intricacies of this powerful NoSQL database. The book then delves into subjects like schema modeling, querying, indexing, and scalability, and discovers the reasons behind MongoDB's widespread popularity. Through clear and practical examples, the book will swiftly help you grasp the fundamental concepts and techniques required to work with MongoDB in real-life scenarios. This extensive guide will not only help establish a strong foundation in MongoDB but also unlock numerous job opportunities. Upon completing this book, you will acquire the necessary confidence and expertise to excel in your job search and embark on a rewarding career path. WHAT YOU WILL LEARN ● Gain a comprehensive understanding of MongoDB's architecture and data model. ● Learn to perform CRUD operations (Create, Read, Update, Delete) in MongoDB. ● Understand indexing strategies for optimizing query performance. ● Discover MongoDB's aggregation framework for complex data analysis. ● Learn about MongoDB's high availability and scalability features. ● Explore integration with programming languages and frameworks. WHO THIS BOOK IS FOR Whether you are a novice starting from scratch or a seasoned professional aiming to enhance your database skills, this book is for individuals who aspire to learn about MongoDB, the contemporary "NoSQL" database. TABLE OF CONTENTS 1. Why MongoDB? 2. MongoDB Jobs and Roles 3. Getting Started 4. A Better Way to Store Data – Documents 5. Let’s Do It – Create, Update and Delete Documents 6. Getting What You Want – Querying 7. Complex Data, Made Simple 8. The MongoDB Aggregation Framework 9. Planning for Performance – Collections and Indexes 10. Getting In and Getting Out – Data Migration 11. Make It Great – Configuration and Monitoring 12. Seamless Scaling – Replication and Sharding 13. Being Proactive – Security and Backups 14. Making Stuff – Programming with MongoDB 15. Tools for Success – MongoDB Shell and Compass UI 16. Cloud Services – MongoDB Atlas 17. MongoDB Atlas – Application Services 18. Jobseeker – Interview Prep 19. Conclusion
Author: Cyrus Dasadia
Publisher: Packt Publishing Ltd
ISBN: 178528682X
Category : Computers
Languages : en
Pages : 371
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Book Description
Harness the latest features of MongoDB 3 with this collection of 80 recipes – from managing cloud platforms to app development, this book is a vital resource About This Book Get to grips with the latest features of MongoDB 3 Interact with the MongoDB server and perform a wide range of query operations from the shell From administration to automation, this cookbook keeps you up to date with the world's leading NoSQL database Who This Book Is For This book is engineered for anyone who is interested in managing data in an easy and efficient way using MongoDB. You do not need any prior knowledge of MongoDB, but it would be helpful if you have some programming experience in either Java or Python. What You Will Learn Install, configure, and administer MongoDB sharded clusters and replica sets Begin writing applications using MongoDB in Java and Python languages Initialize the server in three different modes with various configurations Perform cloud deployment and introduce PaaS for Mongo Discover frameworks and products built to improve developer productivity using Mongo Take an in-depth look at the Mongo programming driver APIs in Java and Python Set up enterprise class monitoring and backups of MongoDB In Detail MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations – it's easy to see why it's the most popular NoSQL database on the market. Packed with many features that have become essential for many different types of software professionals and incredibly easy to use, this cookbook contains many solutions to the everyday challenges of MongoDB, as well as guidance on effective techniques to extend your skills and capabilities. This book starts with how to initialize the server in three different modes with various configurations. You will then be introduced to programming language drivers in both Java and Python. A new feature in MongoDB 3 is that you can connect to a single node using Python, set to make MongoDB even more popular with anyone working with Python. You will then learn a range of further topics including advanced query operations, monitoring and backup using MMS, as well as some very useful administration recipes including SCRAM-SHA-1 Authentication. Beyond that, you will also find recipes on cloud deployment, including guidance on how to work with Docker containers alongside MongoDB, integrating the database with Hadoop, and tips for improving developer productivity. Created as both an accessible tutorial and an easy to use resource, on hand whenever you need to solve a problem, MongoDB Cookbook will help you handle everything from administration to automation with MongoDB more effectively than ever before. Style and approach Every recipe is explained in a very simple set-by-step manner yet is extremely comprehensive.
