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Scaling MongoDB

Author : Kristina Chodorow

Publisher : "O'Reilly Media, Inc."

Page : 66 pages

File Size : 18,12 MB

Release : 2011-01-31

Category : Computers

ISBN : 1449303870

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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.



Mastering MongoDB 7.0

Author : Marko Aleksendrić

Publisher : Packt Publishing Ltd

Page : 435 pages

File Size : 33,49 MB

Release : 2024-01-05

Category : Computers

ISBN : 1835463193

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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.



Mastering MongoDB 6.x

Author : Alex Giamas

Publisher : Packt Publishing Ltd

Page : 460 pages

File Size : 10,84 MB

Release : 2022-08-30

Category : Computers

ISBN : 1803234830

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Book Description

Design and build solutions with the most powerful document database, MongoDB Key FeaturesLearn from the experts about every new feature in MongoDB 6 and 5Develop applications and administer clusters using MongoDB on premise or in the cloudExplore code-rich case studies showcasing MongoDB's major features followed by best practicesBook Description MongoDB is a leading non-relational database. This book covers all the major features of MongoDB including the latest version 6. MongoDB 6.x adds many new features and expands on existing ones such as aggregation, indexing, replication, sharding and MongoDB Atlas tools. Some of the MongoDB Atlas tools that you will master include Atlas dedicated clusters and Serverless, Atlas Search, Charts, Realm Application Services/Sync, Compass, Cloud Manager and Data Lake. By getting hands-on working with code using realistic use cases, you will master the art of modeling, shaping and querying your data and become the MongoDB oracle for the business. You will focus on broadly used and niche areas such as optimizing queries, configuring large-scale clusters, configuring your cluster for high performance and availability and many more. Later, you will become proficient in auditing, monitoring, and securing your clusters using a structured and organized approach. By the end of this book, you will have grasped all the practical understanding needed to design, develop, administer and scale MongoDB-based database applications both on premises and on the cloud. What you will learnUnderstand data modeling and schema design, including smart indexingMaster querying data using aggregationUse distributed transactions, replication and sharding for better resultsAdminister your database using backups and monitoring toolsSecure your cluster with the best checklists and adviceMaster MongoDB Atlas, Search, Charts, Serverless, Realm, Compass, Cloud Manager and other tools offered in the cloud or on premisesIntegrate MongoDB with other big data sourcesDesign and deploy MongoDB in mobile, IoT and serverless environmentsWho this book is for This book is for MongoDB developers and database administrators who want to learn how to model their data using MongoDB in depth, for both greenfield and existing projects. An understanding of MongoDB, shell command skills and basic database design concepts is required to get the most out of this book.



Mastering MongoDB

Author :

Publisher : Cybellium Ltd

Page : 260 pages

File Size : 29,82 MB

Release :

Category : Computers

ISBN :

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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



Sams Teach Yourself NoSQL with MongoDB in 24 Hours

Author : Brad Dayley

Publisher : Pearson Education

Page : 542 pages

File Size : 33,59 MB

Release : 2015

Category : Computers

ISBN : 0672337134

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Book Description

NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up. Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more: Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead Designing and implementing MongoDB databases of diverse types and sizes Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose Choosing the right NoSQL distribution model for your application Installing and configuring MongoDB Designing MongoDB data models, including collections, indexes, and GridFS Balancing consistency, performance, and durability Leveraging the immense power of Map-Reduce Administering, monitoring, securing, backing up, and repairing MongoDB databases Mastering advanced techniques such as sharding and replication Optimizing performance



NoSQL with MongoDB in 24 Hours, Sams Teach Yourself

Author : Brad Dayley

Publisher : Sams Publishing

Page : 542 pages

File Size : 33,28 MB

Release : 2014-08-21

Category : Computers

ISBN : 0133844412

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Book Description

NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up. Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more: Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead Designing and implementing MongoDB databases of diverse types and sizes Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose Choosing the right NoSQL distribution model for your application Installing and configuring MongoDB Designing MongoDB data models, including collections, indexes, and GridFS Balancing consistency, performance, and durability Leveraging the immense power of Map-Reduce Administering, monitoring, securing, backing up, and repairing MongoDB databases Mastering advanced techniques such as sharding and replication Optimizing performance



MongoDB for Jobseekers

Author : Justin Jenkins

Publisher : BPB Publications

Page : 433 pages

File Size : 27,25 MB

Release : 2023-06-07

Category : Computers

ISBN : 9355518250

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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



MongoDB Topology Design

Author : Nicholas Cottrell

Publisher : Apress

Page : 240 pages

File Size : 19,12 MB

Release : 2020-08-17

Category : Computers

ISBN : 9781484258163

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Book Description

Create a world-class MongoDB cluster that is scalable, reliable, and secure. Comply with mission-critical regulatory regimes such as the European Union’s General Data Protection Regulation (GDPR). No matter if you're thinking of migrating to MongoDB or need to meet legal requirements for an existing self-managed cluster, this book has you covered. It begins with the basics of replication and sharding, and quickly scales up to cover everything you need to know to control your data and keep it safe from unexpected data loss or downtime. This book covers best practices for stable MongoDB deployments. For example, a well-designed MongoDB cluster should have no single point of failure. The book covers common use cases when only one or two data centers are available. It goes into detail about creating geopolitical sharding configurations to cover the most stringent data protection regulation compliance. The book also covers different tools and approaches for automating and monitoring a cluster with Kubernetes, Docker, and popular cloud provider containers. What You Will Learn Get started with the basics of MongoDB clusters Protect and monitor a MongoDB deployment Deepen your expertise around replication and sharding Keep effective backups and plan ahead for disaster recovery Recognize and avoid problems that can occur in distributed databases Build optimal MongoDB deployments within hardware and data center limitations Who This Book Is For Solutions architects, devOps architects and engineers, automation and cloud engineers, and database administrators who are new to MongoDB and distributed databases or who need to scale up simple deployments. This book is a complete guide to planning a deployment for optimal resilience, performance and scaling, and covers all the details required to meet the new set of data protection regulations like the GDPR. This book is particularly relevant for large global organizations like financial and medical institutions, as well as government departments that need to control data in the whole stack and are prohibited from using managed cloud services.



Emerging Technologies and Applications in Data Processing and Management

Author : Ma, Zongmin

Publisher : IGI Global

Page : 478 pages

File Size : 18,71 MB

Release : 2019-06-28

Category : Computers

ISBN : 1522584471

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Book Description

Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.



Big Data and Analytics

Author : Dr. Jugnesh Kumar

Publisher : BPB Publications

Page : 246 pages

File Size : 43,75 MB

Release : 2024-03-05

Category : Computers

ISBN : 9355516177

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Book Description

Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrow KEY FEATURES ● Learn about big data and how it helps businesses innovate, grow, and make decisions efficiently. ● Learn about data collection, storage, processing, and analysis, along with tools and methods. ● Discover real-life examples of big data applications across industries, addressing challenges like privacy and security. DESCRIPTION Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the big data landscape. WHAT YOU WILL LEARN ● Grasp big data fundamentals and applications. ● Master descriptive, predictive, and prescriptive analytics. ● Understand HDFS, MapReduce, YARN, and their functionalities. ● Explore data storage, retrieval, and manipulation in a NoSQL database. ● Gain practical insights and apply them to real-world scenarios. WHO THIS BOOK IS FOR This book caters to a diverse audience, including data professionals, analysts, IT managers, and business intelligence practitioners. TABLE OF CONTENTS 1. Introduction to Big Data 2. Big Data Analytics 3. Introduction of NoSQL 4. Introduction to Hadoop 5. Map Reduce 6. Introduction to MongoDB