Mongodb Fundamentals

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Mongodb Fundamentals

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Author : Amit Phaltankar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-12-22

Mongodb Fundamentals written by Amit Phaltankar 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 2020-12-22 with Computers categories.

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.

Data Science Fundamentals For Python And Mongodb

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Author : David Paper
language : en
Publisher: Apress
Release Date : 2018-05-10

Data Science Fundamentals For Python And Mongodb written by David Paper and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-10 with Computers categories.

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 fundamentalsthat are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.

Mongodb And Python

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Author : Niall O'Higgins
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-09-23

Mongodb And Python written by Niall O'Higgins 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 2011-09-23 with Computers categories.

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios. This guide explains the basics of the document-oriented database and shows you how to set up a Python environment with it. Learn how to read and write to MongoDB, apply idiomatic MongoDB and Python patterns, and use the database with several popular Python web frameworks. You’ll discover how to model your data, write effective queries, and avoid concurrency problems such as race conditions and deadlocks. The recipes will help you: Read, write, count, and sort documents in a MongoDB collection Learn how to use the rich MongoDB query language Maintain data integrity in replicated/distributed MongoDB environments Use embedding to efficiently model your data without joins Code defensively to avoid keyerrors and other bugs Apply atomic operations to update game scores, billing systems, and more with the fast accounting pattern Use MongoDB with the Pylons 1.x, Django, and Pyramid web frameworks

Mongodb Basics

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Author : Peter Membrey
language : en
Publisher: Apress
Release Date : 2014-12-05

Mongodb Basics written by Peter Membrey and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-05 with Computers categories.

Need a quick and easy to understand introduction to MongoDB and NoSQL databases? MongoDB Basics, from The Definitive Guide to MongoDB, 2E, shows you how a document-oriented database system differs from a relational database, and how to install and get started using it. You'll also learn MongoDB design basics, including geospatial indexing, how to navigate, view, and query your database, and how to use GridFS with a bit of Python.

Fundamentals Of Big Data Analytics

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Author : Mahmoud Ahmad Al-Khasawneh
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-05-29

Fundamentals Of Big Data Analytics written by Mahmoud Ahmad Al-Khasawneh and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.

The exponential rise of data in the modern digital era has been responsible for a transformation in the way that individuals, corporations, and governments conduct their operations. Every single click on the internet, every single transaction at a store, every single sensor in a machine, and every single post on social media all add to the massive amount of data that is known as Big Data, which is continuing to grow at an exponential rate. The tools and methods that have been used traditionally for data processing are no longer enough to effectively manage, process, or derive useful insights from the flood of information that is currently available. Big Data Analytics is a multidisciplinary area that integrates computer science, statistics, mathematics, and domain expertise in order to analyse and interpret vast and complex information. This has led to the birth of Big Data Analytics. In general, Big Data may be characterised by five fundamental aspects, which are sometimes referred to as the 5Vs. Volume refers to the volume of data that is produced each and every second. The rate at which information is generated and processed is referred to as velocity. A variety of data forms and kinds, including structured, semi-structured, and unstructured data, are referred to as variety. The trustworthiness and precision of the data is referred to as veracity. Value is defined as the possible advantages and insights that may be generated from data. The act of analysing these enormous databases in order to unearth previously concealed patterns, correlations, trends, and other important information is referred to as Big Data Analytics. With its help, businesses are able to make decisions based on data, improve the experiences of their customers, optimise their operations, and acquire a competitive advantage. It provides assistance for evidence-based approaches to the resolution of difficult issues in the realms of scientific research and public policy research. The capabilities of big data systems have been considerably improved as a result of the development of cutting-edge technologies such as distributed computing, cloud platforms, NoSQL databases, and real-time processing frameworks (such as Apache Hadoop and Apache Spark).

The Comprehensive Guide To Databases

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Author : Ron Legarski
language : en
Publisher: SolveForce
Release Date : 2024-09-22

The Comprehensive Guide To Databases written by Ron Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-22 with Computers categories.

The Comprehensive Guide to Databases offers an in-depth exploration into the dynamic world of database technology. This guide is designed for a wide audience, from beginners to seasoned professionals, aiming to enhance their understanding of database management. It covers the foundations of database technology, including relational databases, NoSQL solutions, and advanced topics such as distributed systems, big data analytics, and the role of AI and machine learning in database management. With detailed explanations of key concepts, practical applications, and real-world case studies, this book provides readers with the skills necessary to design, implement, and manage database systems effectively. The guide also looks toward the future of database technology, examining emerging trends like cloud databases, data security, and regulatory compliance, making it an essential resource for anyone looking to master the art of database management in the modern digital landscape.

Mongodb Performance Tuning

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Author : Guy Harrison
language : en
Publisher: Apress
Release Date : 2021-04-19

Mongodb Performance Tuning written by Guy Harrison and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-19 with Computers categories.

Use this fast and complete guide to optimize the performance of MongoDB databases and the applications that depend on them. You will be able to turbo-charge the performance of your MongoDB applications to provide a better experience for your users, reduce your running costs, and avoid application growing pains. MongoDB is the world’s most popular document database and the foundation for thousands of mission-critical applications. This book helps you get the best possible performance from MongoDB. MongoDB Performance Tuning takes a methodical and comprehensive approach to performance tuning that begins with application and schema design and goes on to cover optimization of code at all levels of an application. The book also explains how to configure MongoDB hardware and cluster configuration for optimal performance. The systematic approach in the book helps you treat the true causes of performance issues and get the best return on your tuning investment. Even when you’re under pressure and don’t know where to begin, simply follow the method in this book to set things right and get your MongoDB performance back on track. What You Will Learn Apply a methodical approach to MongoDB performance tuning Understand how to design an efficient MongoDB application Optimize MongoDB document design and indexing strategies Tune MongoDB queries, aggregation pipelines, and transactions Optimize MongoDB server resources: CPU, memory, disk Configure MongoDB Replica sets and Sharded clusters for optimal performance Who This Book Is For Developers and administrators of high-performance MongoDB applications who want to be sure they are getting the best possible performance from their MongoDB system. For developers who wish to create applications that are fast, scalable, and cost-effective. For administrators who want to optimize their MongoDB server and hardware configuration.

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.

Building Node Applications With Mongodb And Backbone

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Author : Mike Wilson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-12-11

Building Node Applications With Mongodb And Backbone written by Mike Wilson 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 2012-12-11 with Computers categories.

Build an application from backend to browser with Node.js, and kick open the doors to real-time event programming. With this hands-on book, you’ll learn how to create a social network application similar to LinkedIn and Facebook, but with a real-time twist. And you’ll build it with just one programming language: JavaScript. If you’re an experienced web developer unfamiliar with JavaScript, the book’s first section introduces you to the project’s core technologies: Node.js, Backbone.js, and the MongoDB data store. You’ll then launch into the project—a highly responsive, highly scalable application—guided by clear explanations and lots of code examples. Learn about key modules in Node.js for building real-time apps Use the Backbone.js framework to write clean browser code, and maintain better data integration with MongoDB Structure project files as a foundation for code that will arrive later Create user accounts and learn how to secure the data Use Backbone.js templates to build the application’s UIs, and integrate access control with Node.js Develop a contact list to help users link to and track other accounts Use Socket.io to create real-time chat functionality Extend your UIs to give users up-to-the-minute information

Getting Mean With Mongo Express Angular And Node

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Author : Simon Holmes
language : en
Publisher: Simon and Schuster
Release Date : 2019-04-22

Getting Mean With Mongo Express Angular And Node written by Simon Holmes and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-22 with Computers categories.

Summary Getting MEAN, Second Edition teaches you how to develop full-stack web applications using the MEAN stack. This edition was completely revised and updated to cover MongoDB 4, Express 4, Angular 7, Node 11, and the latest mainstream release of JavaScript ES2015. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Juggling languages mid-application can radically slow down a full-stack web project. The MEAN stack—MongoDB, Express, Angular, and Node—uses JavaScript end to end, maximizing developer productivity and minimizing context switching. And you'll love the results! MEAN apps are fast, powerful, and beautiful. About the Book Getting MEAN, Second Edition teaches you how to develop full-stack web applications using the MEAN stack. Practical from the very beginning, the book helps you create a static site in Express and Node. Expanding on that solid foundation, you'll integrate a MongoDB database, build an API, and add an authentication system. Along the way, you'll get countless pro tips for building dynamic and responsive data-driven web applications! What's inside MongoDB 4, Express 4, Angular 7, and Node.js 11 MEAN stack architecture Mobile-ready web apps Best practices for efficiency and reusability About the Reader Readers should be comfortable with standard web application designs and ES2015-style JavaScript. About the Author Simon Holmes and Clive Harber are full-stack developers with decades of experience in JavaScript and other leading-edge web technologies. Table of Contents PART 1 - SETTING THE BASELINE Introducing full-stack development Designing a MEAN stack architecture PART 2 - BUILDING A NODE WEB APPLICATION Creating and setting up a MEAN project Building a static site with Node and Express Building a data model with MongoDB and Mongoose Writing a REST API: Exposing the MongoDB database to the application Consuming a REST API: Using an API from inside Express PART 3 - ADDING A DYNAMIC FRONT END WITH ANGULAR Creating an Angular application with TypeScript Building a single-page application with Angular: Foundations Building a single-page application with Angular: The next level PART 4 - MANAGING AUTHENTICATION AND USER SESSIONS Authenticating users, managing sessions, and securing APIs Using an authentication API in Angular applications