Author: Dr. Ashad Ullah Qureshi
Publisher: Concepts Books Publication
ISBN:
Category : Computers
Languages : en
Pages : 73
Book Description
MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License which is deemed non-free by several distributions
Mongo DB Notes For Professionals
Author: Dr. Ashad Ullah Qureshi
Publisher: Concepts Books Publication
ISBN:
Category : Computers
Languages : en
Pages : 73
Book Description
MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License which is deemed non-free by several distributions
Publisher: Concepts Books Publication
ISBN:
Category : Computers
Languages : en
Pages : 73
Book Description
MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License which is deemed non-free by several distributions
PHP Notes For Professionals
Author: Dr. Ashad Ullah Qureshi
Publisher: Concepts Books Publication
ISBN:
Category : Computers
Languages : en
Pages : 481
Book Description
PHP is a server side scripting language that is embedded in HTML. It is used to manage dynamic content, databases, session tracking, even build entire e-commerce sites. It is integrated with a number of popular databases, including MySQL, PostgreSQL, Oracle, Sybase, Informix, and Microsoft SQL Server.
Publisher: Concepts Books Publication
ISBN:
Category : Computers
Languages : en
Pages : 481
Book Description
PHP is a server side scripting language that is embedded in HTML. It is used to manage dynamic content, databases, session tracking, even build entire e-commerce sites. It is integrated with a number of popular databases, including MySQL, PostgreSQL, Oracle, Sybase, Informix, and Microsoft SQL Server.
Instant MongoDB
Author: Amol Nayak
Publisher: Packt Publishing Ltd
ISBN: 1782169717
Category : Computers
Languages : en
Pages : 147
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.
Publisher: Packt Publishing Ltd
ISBN: 1782169717
Category : Computers
Languages : en
Pages : 147
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.
MongoDB: The Definitive Guide
Author: Kristina Chodorow
Publisher: "O'Reilly Media, Inc."
ISBN: 144934481X
Category : Computers
Languages : en
Pages : 518
Book Description
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
Publisher: "O'Reilly Media, Inc."
ISBN: 144934481X
Category : Computers
Languages : en
Pages : 518
Book Description
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
NoSQL with MongoDB in 24 Hours, Sams Teach Yourself
Author: Brad Dayley
Publisher: Sams Publishing
ISBN: 0133844412
Category : Computers
Languages : en
Pages : 542
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
Publisher: Sams Publishing
ISBN: 0133844412
Category : Computers
Languages : en
Pages : 542
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
Mastering MongoDB
Author:
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 260
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
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 260
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
MongoDB Fundamentals
Author: Amit Phaltankar
Publisher: Packt Publishing Ltd
ISBN: 1839213043
Category : Computers
Languages : en
Pages : 749
Book Description
Learn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB using Node.js Key FeaturesLearn the fundamentals of NoSQL databases with MongoDBCreate, manage, and optimize a MongoDB database in the cloud using AtlasUse a real-world dataset to gain practical experience of handling big dataBook Description MongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently. Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts. You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app. By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB. What you will learnSet up and use MongoDB Atlas on the cloudInsert, update, delete, and retrieve data from MongoDBBuild aggregation pipelines to perform complex queriesOptimize queries using indexesMonitor databases and manage user authorizationImprove scalability and performance with sharding clustersReplicate clusters, back up your database, and restore dataCreate data-driven charts and reports from real-time dataWho this book is for This book is designed for people who are new to MongoDB. It is suitable for developers, database administrators, system administrators, and cloud architects who are looking to use MongoDB for smooth data processing in the cloud. Although not necessary, basic knowledge of a general programming language and experience with other databases will help you grasp the topics covered more easily.
Publisher: Packt Publishing Ltd
ISBN: 1839213043
Category : Computers
Languages : en
Pages : 749
Book Description
Learn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB using Node.js Key FeaturesLearn the fundamentals of NoSQL databases with MongoDBCreate, manage, and optimize a MongoDB database in the cloud using AtlasUse a real-world dataset to gain practical experience of handling big dataBook Description MongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently. Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts. You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app. By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB. What you will learnSet up and use MongoDB Atlas on the cloudInsert, update, delete, and retrieve data from MongoDBBuild aggregation pipelines to perform complex queriesOptimize queries using indexesMonitor databases and manage user authorizationImprove scalability and performance with sharding clustersReplicate clusters, back up your database, and restore dataCreate data-driven charts and reports from real-time dataWho this book is for This book is designed for people who are new to MongoDB. It is suitable for developers, database administrators, system administrators, and cloud architects who are looking to use MongoDB for smooth data processing in the cloud. Although not necessary, basic knowledge of a general programming language and experience with other databases will help you grasp the topics covered more easily.
MongoDB Recipes
Author: Subhashini Chellappan
Publisher: Apress
ISBN: 1484248910
Category : Computers
Languages : en
Pages : 257
Book Description
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.
Publisher: Apress
ISBN: 1484248910
Category : Computers
Languages : en
Pages : 257
Book Description
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 Science Fundamentals for Python and MongoDB
Author: David Paper
Publisher: Apress
ISBN: 1484235975
Category : Computers
Languages : en
Pages : 221
Book Description
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. What You'll Learn Prepare for a career in data science Work with complex data structures in Python Simulate with Monte Carlo and Stochastic algorithms Apply linear algebra using vectors and matrices Utilize complex algorithms such as gradient descent and principal component analysis Wrangle, cleanse, visualize, and problem solve with data Use MongoDB and JSON to work with data Who This Book Is For The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.
Publisher: Apress
ISBN: 1484235975
Category : Computers
Languages : en
Pages : 221
Book Description
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. What You'll Learn Prepare for a career in data science Work with complex data structures in Python Simulate with Monte Carlo and Stochastic algorithms Apply linear algebra using vectors and matrices Utilize complex algorithms such as gradient descent and principal component analysis Wrangle, cleanse, visualize, and problem solve with data Use MongoDB and JSON to work with data Who This Book Is For The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.
Mastering MongoDB 4.x
Author: Alex Giamas
Publisher: Packt Publishing Ltd
ISBN: 1789611385
Category : Computers
Languages : en
Pages : 384
Book Description
Leverage the power of MongoDB 4.x to build and administer fault-tolerant database applications Key FeaturesMaster the new features and capabilities of MongoDB 4.x Implement advanced data modeling, querying, and administration techniques in MongoDBIncludes rich case-studies and best practices followed by expert MongoDB developersBook Description MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The recently released MongoDB 4.x supports ACID transactions and makes the technology an asset for enterprises across the IT and fintech sectors. This book provides expertise in advanced and niche areas of managing databases (such as modeling and querying databases) along with various administration techniques in MongoDB, thereby helping you become a successful MongoDB expert. The book helps you understand how the newly added capabilities function with the help of some interesting examples and large datasets. You will dive deeper into niche areas such as high-performance configurations, optimizing SQL statements, configuring large-scale sharded clusters, and many more. You will also master best practices in overcoming database failover, and master recovery and backup procedures for database security. By the end of the book, you will have gained a practical understanding of administering database applications both on premises and on the cloud; you will also be able to scale database applications across all servers. What you will learnPerform advanced querying techniques such as indexing and expressionsConfigure, monitor, and maintain a highly scalable MongoDB environment Master replication and data sharding to optimize read/write performance Administer MongoDB-based applications on premises or on the cloud Integrate MongoDB with big data sources to process huge amounts of data Deploy MongoDB on Kubernetes containers Use MongoDB in IoT, mobile, and serverless environmentsWho this book is for This book is ideal for MongoDB developers and database administrators who wish to become successful MongoDB experts and build scalable and fault-tolerant applications using MongoDB. It will also be useful for database professionals who wish to become certified MongoDB professionals. Some understanding of MongoDB and basic database concepts is required to get the most out of this book.
Publisher: Packt Publishing Ltd
ISBN: 1789611385
Category : Computers
Languages : en
Pages : 384
Book Description
Leverage the power of MongoDB 4.x to build and administer fault-tolerant database applications Key FeaturesMaster the new features and capabilities of MongoDB 4.x Implement advanced data modeling, querying, and administration techniques in MongoDBIncludes rich case-studies and best practices followed by expert MongoDB developersBook Description MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The recently released MongoDB 4.x supports ACID transactions and makes the technology an asset for enterprises across the IT and fintech sectors. This book provides expertise in advanced and niche areas of managing databases (such as modeling and querying databases) along with various administration techniques in MongoDB, thereby helping you become a successful MongoDB expert. The book helps you understand how the newly added capabilities function with the help of some interesting examples and large datasets. You will dive deeper into niche areas such as high-performance configurations, optimizing SQL statements, configuring large-scale sharded clusters, and many more. You will also master best practices in overcoming database failover, and master recovery and backup procedures for database security. By the end of the book, you will have gained a practical understanding of administering database applications both on premises and on the cloud; you will also be able to scale database applications across all servers. What you will learnPerform advanced querying techniques such as indexing and expressionsConfigure, monitor, and maintain a highly scalable MongoDB environment Master replication and data sharding to optimize read/write performance Administer MongoDB-based applications on premises or on the cloud Integrate MongoDB with big data sources to process huge amounts of data Deploy MongoDB on Kubernetes containers Use MongoDB in IoT, mobile, and serverless environmentsWho this book is for This book is ideal for MongoDB developers and database administrators who wish to become successful MongoDB experts and build scalable and fault-tolerant applications using MongoDB. It will also be useful for database professionals who wish to become certified MongoDB professionals. Some understanding of MongoDB and basic database concepts is required to get the most out of this book.