Practical Mongodb Aggregations

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Practical MongoDB Aggregations

Author : Paul Done
Publisher : Packt Publishing Ltd
ISBN 13 : 1835086845
Total Pages : 313 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Practical MongoDB Aggregations by : Paul Done

Download or read book Practical MongoDB Aggregations written by Paul Done and published by Packt Publishing Ltd. This book was released on 2023-09-07 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasks Key Features Build effective aggregation pipelines for increased productivity and performance Solve common data manipulation and analysis problems with the help of practical examples Learn essential strategies to aggregate time series data in financial datasets and IoT Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionOfficially endorsed by MongoDB, Inc., Practical MongoDB Aggregations helps you unlock the full potential of the MongoDB aggregation framework, including the latest features of MongoDB 7.0. This book provides practical, easy-to-digest principles and approaches for increasing your effectiveness in developing aggregation pipelines, supported by examples for building pipelines to solve complex data manipulation and analytical tasks. This book is customized for developers, architects, data analysts, data engineers, and data scientists with some familiarity with the aggregation framework. It begins by explaining the framework's architecture and then shows you how to build pipelines optimized for productivity and scale. Given the critical role arrays play in MongoDB's document model, the book delves into best practices for optimally manipulating arrays. The latter part of the book equips you with examples to solve common data processing challenges so you can apply the lessons you've learned to practical situations. By the end of this MongoDB book, you’ll have learned how to utilize the MongoDB aggregation framework to streamline your data analysis and manipulation processes effectively.What you will learn Develop dynamic aggregation pipelines tailored to changing business requirements Master essential techniques to optimize aggregation pipelines for rapid data processing Achieve optimal efficiency for applying aggregations to vast datasets with effective sharding strategies Eliminate the performance penalties of processing data externally by filtering, grouping, and calculating aggregated values directly within the database Use pipelines to help you secure your data access and distribution Who this book is for This book is for intermediate-level developers, architects, analysts, engineers, and data scientists who are interested in learning about aggregation capabilities in MongoDB. Working knowledge of MongoDB is needed to get the most out of this book.

Mastering MongoDB 7.0

Author : Marko Aleksendrić
Publisher : Packt Publishing Ltd
ISBN 13 : 1835463193
Total Pages : 435 pages
Book Rating : 4.8/5 (354 download)

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Book Synopsis Mastering MongoDB 7.0 by : Marko Aleksendrić

Download or read book Mastering MongoDB 7.0 written by Marko Aleksendrić and published by Packt Publishing Ltd. This book was released on 2024-01-05 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Practical Big Data Analytics

Author : Nataraj Dasgupta
Publisher : Packt Publishing Ltd
ISBN 13 : 1783554401
Total Pages : 402 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Practical Big Data Analytics by : Nataraj Dasgupta

Download or read book Practical Big Data Analytics written by Nataraj Dasgupta and published by Packt Publishing Ltd. This book was released on 2018-01-15 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Book Description Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. What you will learn - Get a 360-degree view into the world of Big Data, data science and machine learning - Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives - Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R - Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions - Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications - Understand corporate strategies for successful Big Data and data science projects - Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies Who this book is for The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience.

FastAPI Cookbook

Author : Giunio De Luca
Publisher : Packt Publishing Ltd
ISBN 13 : 1805129775
Total Pages : 359 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis FastAPI Cookbook by : Giunio De Luca

Download or read book FastAPI Cookbook written by Giunio De Luca and published by Packt Publishing Ltd. This book was released on 2024-08-02 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhance your web development skills, from setting up your environment and advanced integrations to building robust, high-traffic web applications with practical, scalable solutions Key Features Explore FastAPI in depth, from basic setup to advanced features such as custom middleware and WebSockets Discover practical strategies to optimize app performance and handle high traffic Implement SQL and NoSQL integration techniques for versatile data management in FastAPI applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionFastAPI is a cutting-edge Python framework that is revolutionizing the way web apps and APIs are built. Known for its speed, simplicity, and scalability, FastAPI empowers developers to create high-performing applications with ease. This book will help you leverage FastAPI’s immense potential to handle high-traffic scenarios and integrate seamlessly with modern Python tools. The book begins by familiarizing you with the basics of setting up and configuring your FastAPI environment before moving to the intricacies of building RESTful APIs, managing data with SQL and NoSQL databases, and handling authentication and authorization. Next, you'll focus on advanced topics such as custom middleware, WebSocket communication, and integration with various Python libraries. Each chapter is meticulously crafted with practical recipes, progressing from foundational concepts to advanced features and best practices. The concluding chapters show you how to optimize performance, implement rate limiting, and execute background tasks, empowering you to become a proficient FastAPI developer. By the end of this book, you'll have gained the skills you need to migrate existing apps to FastAPI, and be equipped to tackle any challenge in the modern web development landscape, ensuring your apps are not only functional, but also efficient, secure, and scalable.What you will learn Explore advanced FastAPI functionalities such as dependency injection, custom middleware, and WebSockets Discover various types of data storage for powerful app functionality with SQL and NoSQL Implement testing and debugging practices for clean, robust code Integrate authentication and authorization mechanisms to secure web apps Acquire skills to seamlessly migrate existing applications to FastAPI Write unit and integration tests, ensuring reliability and security for your apps Deploy your FastAPI apps to production environments for real-world use Who this book is for This book is for Python developers looking to enhance their skills to build scalable, high-performance web apps using FastAPI. Professionals seeking practical guidance to create APIs and web apps that can handle significant traffic and scale as needed will also find this book helpful by learning from both foundational insights and advanced techniques. The book is also designed for anyone familiar with RESTful APIs, HTTP protocols, and database systems, as well as developers looking to migrate existing applications to FastAPI or explore its advanced features.

Practical Data Analysis

Author : Hector Cuesta
Publisher : Packt Publishing Ltd
ISBN 13 : 1785286668
Total Pages : 338 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Practical Data Analysis by : Hector Cuesta

Download or read book Practical Data Analysis written by Hector Cuesta and published by Packt Publishing Ltd. This book was released on 2016-09-30 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn Acquire, format, and visualize your data Build an image-similarity search engine Generate meaningful visualizations anyone can understand Get started with analyzing social network graphs Find out how to implement sentiment text analysis Install data analysis tools such as Pandas, MongoDB, and Apache Spark Get to grips with Apache Spark Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.

Practical MongoDB

Author : Shakuntala Gupta Edward
Publisher : Apress
ISBN 13 : 1484206479
Total Pages : 263 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical MongoDB by : Shakuntala Gupta Edward

Download or read book Practical MongoDB written by Shakuntala Gupta Edward and published by Apress. This book was released on 2015-12-16 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The "one-size-fits-all" thinking regarding traditional RDBMSs has been challenged in the last few years by the emergence of diversified NoSQL databases. More than 120 NoSQL databases are now available in the market, and the market leader by far is MongoDB. With so many companies opting for MongoDB as their NoSQL database of choice, there's a need for a practical how-to combined with expert advice for getting the most out of the software. Beginning with a short introduction to the basics of NoSQL databases, MongoDB experts Navin Sabharwal and Shankatala Gupta Edward introduce readers to MongoDB – the leading document based NoSQL database, acquainting them step by step with all aspects of MongoDB. They cover the data model, underlying architecture, how to code using Mongo Shell, and administration of the MongoDB platform, among other topics. The book also provides clear guidelines and practical examples for architecting and developing applications using the MongoDB platform and deploying them. Database developers, architects, and database administrators will find useful information covering all aspects of the MongoDB platform and how to put it to use practically. Practical Guide to MongoDB provides readers with: A solid understanding of NoSQL databases An understanding of how to get started with MongoDB Methodical coverage of the architecture, development, and administration of MongoDB A plethora of "How to’s" enabling you to use the technology most efficiently to solve the problems you face Practical MongoDB is for those just starting to learning to work with NoSQL databases in general and MongoDB in particular. Skills in these areas are in demand, making this book essential reading for those who want to work more productively or break into big data work. It will prove equally useful for entrepreneurs and others who like to work with new technologies.

MongoDB Applied Design Patterns

Author : Rick Copeland
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449340075
Total Pages : 176 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis MongoDB Applied Design Patterns by : Rick Copeland

Download or read book MongoDB Applied Design Patterns written by Rick Copeland and published by "O'Reilly Media, Inc.". This book was released on 2013-03-04 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you’re building a social media site or an internal-use enterprise application, this hands-on guide shows you the connection between MongoDB and the business problems it’s designed to solve. You’ll learn how to apply MongoDB design patterns to several challenging domains, such as ecommerce, content management, and online gaming. Using Python and JavaScript code examples, you’ll discover how MongoDB lets you scale your data model while simplifying the development process. Many businesses launch NoSQL databases without understanding the techniques for using their features most effectively. This book demonstrates the benefits of document embedding, polymorphic schemas, and other MongoDB patterns for tackling specific big data use cases, including: Operational intelligence: Perform real-time analytics of business data Ecommerce: Use MongoDB as a product catalog master or inventory management system Content management: Learn methods for storing content nodes, binary assets, and discussions Online advertising networks: Apply techniques for frequency capping ad impressions, and keyword targeting and bidding Social networking: Learn how to store a complex social graph, modeled after Google+ Online gaming: Provide concurrent access to character and world data for a multiplayer role-playing game

Mastering MongoDB 6.x

Author : Alex Giamas
Publisher : Packt Publishing Ltd
ISBN 13 : 1803234830
Total Pages : 460 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Mastering MongoDB 6.x by : Alex Giamas

Download or read book Mastering MongoDB 6.x written by Alex Giamas and published by Packt Publishing Ltd. This book was released on 2022-08-30 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

MongoDB Fundamentals

Author : Amit Phaltankar
Publisher : Packt Publishing Ltd
ISBN 13 : 1839213043
Total Pages : 749 pages
Book Rating : 4.8/5 (392 download)

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Book Synopsis MongoDB Fundamentals by : Amit Phaltankar

Download or read book MongoDB Fundamentals written by Amit Phaltankar and published by Packt Publishing Ltd. This book was released on 2020-12-22 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: The Definitive Guide

Author : Kristina Chodorow
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144934481X
Total Pages : 610 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis MongoDB: The Definitive Guide by : Kristina Chodorow

Download or read book MongoDB: The Definitive Guide written by Kristina Chodorow and published by "O'Reilly Media, Inc.". This book was released on 2013-05-10 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manage the huMONGOus amount of data collected through your web application with MongoDB. This authoritative introduction—written by a core contributor to the project—shows you the many advantages of using document-oriented databases, and demonstrates how this reliable, high-performance system allows for almost infinite horizontal scalability. This updated second edition provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Ideal for NoSQL newcomers and experienced MongoDB users alike, this guide provides numerous real-world schema design examples. Get started with MongoDB core concepts and vocabulary Perform basic write operations at different levels of safety and speed Create complex queries, with options for limiting, skipping, and sorting results Design an application that works well with MongoDB Aggregate data, including counting, finding distinct values, grouping documents, and using MapReduce Gather and interpret statistics about your collections and databases Set up replica sets and automatic failover in MongoDB Use sharding to scale horizontally, and learn how it impacts applications Delve into monitoring, security and authentication, backup/restore, and other administrative tasks

MongoDB Complete Guide

Author : Manu Sharma
Publisher : BPB Publications
ISBN 13 : 9389898862
Total Pages : 467 pages
Book Rating : 4.3/5 (898 download)

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Book Synopsis MongoDB Complete Guide by : Manu Sharma

Download or read book MongoDB Complete Guide written by Manu Sharma and published by BPB Publications. This book was released on 2021-06-17 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master MongoDB - The widely used modern database in a step-by-step, practical, and easy-to-understand approach covering all major topics KEY FEATURES ● In-depth practical demonstration of MongoDB concepts with numerous examples. ● Includes graphical illustrations and visual explanations for MongoDB commands and methods. ● Covers advanced topics such as MongoDB Compass, MongoDB Security, Backup and Restore, and Replication and Sharding. DESCRIPTION MongoDB Complete Guide book starts with the basics of MongoDB, what exactly is MongoDB, and how to use it practically. You will understand how MongoDB is different from the traditional RDBMS. Topics such as installation and configuration of the MongoDB server, MongoDB commands, MongoDB Shell methods, and data types in MongoDB are covered in detail. You will practice how to perform MongoDB CRUD operations, indexing, MongoDB query selectors, projection in MongoDB and projection operators as well as aggregation in a very detailed and step-by-step manner. You learn how to work with MongoDB Compass and some of the advanced MongoDB topics like managing and administering MongoDB, managing the MongoDB process, monitoring and diagnosing MongoDB, backup and restore, MongoDB security, replication and sharding. WHAT YOU WILL LEARN ● Perform write operations, search documents, and define complex queries in MongoDB. ● Perform indexing, aggregation, and data replication. ● End-to-end MongoDB administration along with authentication and authorization. ● Running backups, restoring, and monitoring of MongoDB database enterprise-wide. WHO THIS BOOK IS FOR This book is designed for software developers and server administrators who want to quickly learn MongoDB basics and start applying the knowledge of MongoDB in their business systems. TABLE OF CONTENTS MongoDB Basics 1.Introduction to MongoDB 2. MongoDB Installation and Setup on Windows 3. MongoDB Installation and Setup on Linux (Ubuntu) 4. MongoDB Installation and Setup on macOS 5. Getting started with MongoDB 6. Storage Engines in MongoDB 7. Managing and Administering MongoDB 8. MongoDB Shell Methods 9. Data Types in MongoDB MongoDB Intermediate Level Topics 10. Introduction to MongoDB CRUD Operations 11. MongoDB Intermediate Concepts 12. Introduction to MongoDB Indexes 13. MongoDB Query Selectors 14. Projection in MongoDB and Projection Operators 15. Aggregation in MongoDB 16. MongoDB Data Manipulations Using MongoDB Compass MongoDB Advanced Level Topics 17. Managing and Administering MongoDB (Advanced Level) 18. Replication in MongoDB 19. Sharding in MongoDB

Practical C++ Backend Programming

Author : Justin Barbara
Publisher : GitforGits
ISBN 13 : 8196288395
Total Pages : 299 pages
Book Rating : 4.1/5 (962 download)

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Book Synopsis Practical C++ Backend Programming by : Justin Barbara

Download or read book Practical C++ Backend Programming written by Justin Barbara and published by GitforGits. This book was released on 2023-07-30 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Practical C++ Backend Programming" is a comprehensive walkthrough that provides readers with the necessary tools and knowledge to become proficient C++ backend developers. With a strong focus on real-world application and practical implementation, this book takes readers on a journey through the multifaceted landscape of backend development, making it an essential resource for any aspiring or current backend developer. Starting with the basics, the book introduces C++, providing a solid foundation in the language, its structure, and core concepts with regards to backend programming. From there, readers dive into the more complex elements of backend development. Through our engaging sections, use-cases and sample examples, readers are introduced to advanced topics such as concurrent programming, exploring threading and multiprocessing to handle intensive computational tasks, thus laying the groundwork for scalable applications. This book offers an in-depth look into APIs, specifically gRPC, along with caching strategies, and database management, using MongoDB as a NoSQL database of choice. All the while, readers will learn to implement these technologies in a practical context, building a blog application from scratch, thereby bridging the gap between theory and practical implementation. An entire section is dedicated to securing applications, wherein the book teaches authentication, authorization, and database security, and demonstrates how to implement these measures in the blog application. Another utmost important part of this book is to cover testing strategies, teaching the reader how to employ Google Test (gtest) to create robust and fail-proof backend solutions. Finally, the journey culminates in a step-by-step walkthrough to deploying applications on AWS, ensuring the reader is equipped with the necessary skills to take their applications live. Key Learnings Detailed overview of C++ programming, catering to both beginners and experienced coders. Practical exploration of concurrent programming for scalable and efficient application design. Comprehensive understanding of API usage, specifically using the gRPC framework. Deep dive into MongoDB for effective NoSQL database management and operations. Thorough walkthrough to implementing caching strategies for performance optimization. Strategic use of Nginx for handling web server needs including load balancing. Hands-on guide to implementing security measures for databases, APIs, and web servers. Instruction on employing Google Test for robust application testing and debugging. Step-by-step guidance for deploying applications on AWS, ensuring real-world readiness. Practical application of concepts via building and refining a blog application. Table of Content Introduction to Backend Development C++ Refresher and Essentials Deep Dive into Algorithms Mastering Version Control - Git and GitHub Managing Database Operations with MongoDB Crafting Rest APIs with gRPC Dealing with Client-side and Server-side Caching Managing Web Servers with Nginx Testing Your C++ Backend Securing Your C++ Backend Deploying Your Application Audience This book is appropriate for readers with some background in C++ and nothing about back-end development. It's great for those just getting their feet wet in back-end development, as well as seasoned pros looking to hone their craft and learn something new. Whether you're a student, a professional, or a hobbyist, this book will teach you everything you need to know to master the art of C++ back-end development.

Big Data Analytics with R

Author : Simon Walkowiak
Publisher : Packt Publishing Ltd
ISBN 13 : 1786463725
Total Pages : 498 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Big Data Analytics with R by : Simon Walkowiak

Download or read book Big Data Analytics with R written by Simon Walkowiak and published by Packt Publishing Ltd. This book was released on 2016-07-29 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilize R to uncover hidden patterns in your Big Data About This Book Perform computational analyses on Big Data to generate meaningful results Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market Who This Book Is For This book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows. It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R. What You Will Learn Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform In Detail Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O. Style and approach This book will serve as a practical guide to tackling Big Data problems using R programming language and its statistical environment. Each section of the book will present you with concise and easy-to-follow steps on how to process, transform and analyse large data sets.

MongoDB in Action

Author : Kyle Banker
Publisher : Manning Publications
ISBN 13 : 9781935182870
Total Pages : 0 pages
Book Rating : 4.1/5 (828 download)

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Book Synopsis MongoDB in Action by : Kyle Banker

Download or read book MongoDB in Action written by Kyle Banker and published by Manning Publications. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide book begins by explaining what makes MongoDB unique. A series of tutorials designed for MongoDB mastery then leads into detailed examples for leveraging MongoDB in e-commerce, social networking, analytics, and other common applications.

Full Stack FastAPI, React, and MongoDB

Author : Marko Aleksendric
Publisher : Packt Publishing Ltd
ISBN 13 : 1803249447
Total Pages : 336 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Full Stack FastAPI, React, and MongoDB by : Marko Aleksendric

Download or read book Full Stack FastAPI, React, and MongoDB written by Marko Aleksendric and published by Packt Publishing Ltd. This book was released on 2022-09-23 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wield the power of Python, React, and MongoDB to build web and data applications quickly and broaden your web development horizons Key FeaturesLearn how to build web applications without having to know the intricacies of the componentsBuild full stack projects without compromising on development speed and app performancePrepare yourself for the diverse world of web development, analytics, and data visualizationBook Description If you need to develop web applications quickly, where do you turn? Enter the FARM stack. The FARM stack combines the power of the Python ecosystem with REST and MongoDB and makes building web applications easy and fast. This book is a fast-paced, concise, and hands-on beginner's guide that will equip you with the skills you need to quickly build web applications by diving just deep enough into the intricacies of the stack's components. The book quickly introduces each element of the stack and then helps you merge them to build a medium-sized web application. You'll set up a document store with MongoDB, build a simple API with FastAPI, and create an application with React. Security is crucial on the web, so you'll learn about authentication and authorization with JSON Web Tokens. You'll also understand how to optimize images, cache responses with Redis, and add additional features to your application as well as explore tips, tricks, and best practices to make your development experience a breeze. Before you know it, you'll be deploying the application to different platforms. By the end of this book, you will have built a couple of functional applications efficiently and will have the springboard you need to delve into diverse and more specialized domains. What you will learnDiscover the flexibility of the FARM stackImplement complete JWT authentication with FastAPIExplore the various Python drivers for MongoDBDiscover the problems that React libraries solveBuild simple and medium web applications with the FARM stackDive into server-side rendering with Next.jsDeploy your app with Heroku, Vercel, Ubuntu Server and NetlifyUnderstand how to deploy and cache a FastAPI backendWho this book is for This book is for web developers and analysts who want to include the power of a modern asynchronous Python framework, a flexible data store and a powerful UI library with the combination of two of the most important programming languages today in their web development toolkit. Beginners in the field of information presentation will also find this book helpful. You must have a beginner-level understanding of Python, JavaScript, and HTML and CSS to get the most out of this book.

50 Tips and Tricks for MongoDB Developers

Author : Kristina Chodorow
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449308678
Total Pages : 68 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis 50 Tips and Tricks for MongoDB Developers by : Kristina Chodorow

Download or read book 50 Tips and Tricks for MongoDB Developers written by Kristina Chodorow and published by "O'Reilly Media, Inc.". This book was released on 2011-04-19 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Getting started with MongoDB is easy, but once you begin building applications with it, you'll face some complex issues. What are the tradeoffs between normalized and denormalized data? How do you handle replica set failure and failover? This collection of MongoDB tips, tricks, and hacks helps you resolve issues with everything from application design and implementation to data safety and monitoring. You get specific guidance in five topic areas directly from engineers at 10gen, the company that develops and supports this open source database: Application Design Tips: What to keep in mind when designing your schema Implementation Tips: Programming applications against MongoDB Optimization Tips: Speeding up your applications Data Safety Tips: Using replication and journaling to keep data safe—without sacrificing too much performance Administration Tips: How to configure MongoDB and keep it running smoothly

Practical Hadoop Migration

Author : Bhushan Lakhe
Publisher : Apress
ISBN 13 : 1484212878
Total Pages : 321 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical Hadoop Migration by : Bhushan Lakhe

Download or read book Practical Hadoop Migration written by Bhushan Lakhe and published by Apress. This book was released on 2016-08-10 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Re-architect relational applications to NoSQL, integrate relational database management systems with the Hadoop ecosystem, and transform and migrate relational data to and from Hadoop components. This book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data to optimize concurrency, security, denormalization, and performance. Winner of IBM’s 2012 Gerstner Award for his implementation of big data and data warehouse initiatives and author of Practical Hadoop Security, author Bhushan Lakhe walks you through the entire transition process. First, he lays out the criteria for deciding what blend of re-architecting, migration, and integration between RDBMS and HDFS best meets your transition objectives. Then he demonstrates how to design your transition model. Lakhe proceeds to cover the selection criteria for ETL tools, the implementation steps for migration with SQOOP- and Flume-based data transfers, and transition optimization techniques for tuning partitions, scheduling aggregations, and redesigning ETL. Finally, he assesses the pros and cons of data lakes and Lambda architecture as integrative solutions and illustrates their implementation with real-world case studies. Hadoop/NoSQL solutions do not offer by default certain relational technology features such as role-based access control, locking for concurrent updates, and various tools for measuring and enhancing performance. Practical Hadoop Migration shows how to use open-source tools to emulate such relational functionalities in Hadoop ecosystem components. What You'll Learn Decide whether you should migrate your relational applications to big data technologies or integrate them Transition your relational applications to Hadoop/NoSQL platforms in terms of logical design and physical implementation Discover RDBMS-to-HDFS integration, data transformation, and optimization techniques Consider when to use Lambda architecture and data lake solutions Select and implement Hadoop-based components and applications to speed transition, optimize integrated performance, and emulate relational functionalities Who This Book Is For Database developers, database administrators, enterprise architects, Hadoop/NoSQL developers, and IT leaders. Its secondary readership is project and program managers and advanced students of database and management information systems.