Scaling Mongodb

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Scaling Mongodb

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Author : Kristina Chodorow
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-01-31

Scaling Mongodb written by Kristina Chodorow 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 2011-01-31 with Computers categories.

Create a MongoDB cluster that will grow to meet the needs of your application. With this short and concise book, you'll get guidelines for setting up and using clusters to store a large volume of data, and learn how to access the data efficiently. In the process, you'll understand how to make your application work with a distributed database system. Scaling MongoDB will help you: Set up a MongoDB cluster through sharding Work with a cluster to query and update data Operate, monitor, and backup your cluster Plan your application to deal with outages By following the advice in this book, you'll be well on your way to building and running an efficient, predictable distributed system using MongoDB.

Nosql With Mongodb In 24 Hours Sams Teach Yourself

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Author : Brad Dayley
language : en
Publisher: Sams Publishing
Release Date : 2014-08-21

Nosql With Mongodb In 24 Hours Sams Teach Yourself written by Brad Dayley and has been published by Sams Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-21 with Computers categories.

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 6 X

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Author : Alex Giamas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-08-30

Mastering Mongodb 6 X written by Alex Giamas 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 2022-08-30 with Computers categories.

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.

Big Data And Analytics

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Author : Dr. Jugnesh Kumar
language : en
Publisher: BPB Publications
Release Date : 2024-03-05

Big Data And Analytics written by Dr. Jugnesh Kumar and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Computers categories.

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

Mongodb

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Author : NARAYAN CHANGDER
language : en
Publisher: CHANGDER OUTLINE
Release Date : 2023-04-23

Mongodb written by NARAYAN CHANGDER and has been published by CHANGDER OUTLINE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-23 with Juvenile Nonfiction categories.

If you need a free PDF practice set of this book for your studies, feel free to reach out to me at [email protected], and I'll send you a copy! THE MONGODB MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE MONGODB MCQ TO EXPAND YOUR MONGODB KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY.

Emerging Technologies And Applications In Data Processing And Management

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Author : Ma, Zongmin
language : en
Publisher: IGI Global
Release Date : 2019-06-28

Emerging Technologies And Applications In Data Processing And Management written by Ma, Zongmin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Computers categories.

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

Managing Unstructured Data Nosql Database Essentials

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Author : Anooja Ali
language : en
Publisher: MileStone Research Publications
Release Date : 2024-09-12

Managing Unstructured Data Nosql Database Essentials written by Anooja Ali and has been published by MileStone Research Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-12 with Computers categories.

Managing Unstructured Data: NoSQL Database Essentials-is a reference book and guide for teaching and reading skills to college faculty and students. In Chapter1 the fundamentals of database and relational data base are discussed. This chapter helps students to understand data management concepts by data modelling, schema design, data storage and retrieval. This chapter includes the foundational skills that are applicable across various industries and provides a stepping stone for further specialization and career development. The chapter 2 is all about unstructured data. Varying methods for managing, analysing, and storing data are needed for varying levels of organization and complexity, which are represented by structured, unstructured, and semi-structured data. This chapter provides a platform for students to understand the transition from structured to unstructured data in terms of data management and analysis and it is a pivotal aspect of modern data management. In chapter 3 concepts of NoSQL data base and the major differences with SQL & Relational data bases are highlighted. This chapter explains the adoptions of NoSQL with flexible schema, scalability, high performance and support for distributed architecture. Chapter 4 is all about NoSQL databases, or "Not Only SQL" databases which represent a diverse set of database technologies designed to address specific challenges not well served by traditional relational databases. A brief overview of the main types of NoSQL databases are discussed here. The four basic data models such as key-value pairs, document-oriented, columnar, and graph-based structures are represented in this chapter. Information on popular NoSQL database technologies is given in chapter 5. Details of technologies like Apache HBase, Apache CouchDB, Neo4j, Apache Cassandra and their comparison are also provided here. It includes the distributed architecture with fault tolerance, high availability, and disaster recovery capabilities for ensuring data integrity and business continuity. Chapter 6 discusses the overview of Mongo DB which is a document-oriented NoSQL database known for its flexibility, scalability, and ease of use. The features of Mongo DB including document store, MongoDB protocol, horizontal scalability, cross platform compatibility, replication and sharding are also covered here. Chapter 7 deals with Concurrency control in databases. It discusses about the methods to obtain concurrency in structured data, and then in unstructured data, challenges in concurrency control for unstructured data, commits in transaction and the different isolation levels. Chapter 8 discusses on how unstructured data are used in big data processing. It includes Query processing performance evaluation in big data systems, the types od dirty data. Data cleansing is explained in detail with the steps in cleansing, exploratory data analysis, and data visualization. Hope this book on Managing Unstructured Data: NoSQL Database Essentials will provide a handy and useful reference book for teachers and students on Unstructured Database.

Mastering Nosql

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :

Mastering Nosql written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Unleash the Potential of Flexible Data Storage In the dynamic landscape of modern data management, traditional relational databases often fall short in accommodating the diverse and ever-changing data needs. "Mastering NoSQL" is your comprehensive guide to understanding and harnessing the capabilities of NoSQL databases—a revolutionary approach to data storage that offers flexibility, scalability, and agility like never before. About the Book: The exponential growth of data, coupled with the rise of dynamic applications, has brought NoSQL databases to the forefront of data management. "Mastering NoSQL" provides a deep exploration of this paradigm, catering to both beginners and experienced professionals seeking to revolutionize the way they store, retrieve, and analyze data. Key Features: NoSQL Fundamentals: Begin your journey with an introduction to the foundational concepts of NoSQL. Understand the principles that set NoSQL apart from traditional relational databases. Diverse NoSQL Models: Delve into the various NoSQL database models, such as document stores, key-value stores, column-family stores, and graph databases. Learn the strengths and best use cases for each model. Scalability and Flexibility: Explore the scalability advantages offered by NoSQL databases. Understand how these databases accommodate the challenges of massive data growth and fluctuating workloads. Data Modeling: Grasp the unique data modeling approaches of NoSQL databases. Learn how to design schemas that adapt to evolving data requirements. Consistency and Availability: Understand the trade-offs between consistency and availability in NoSQL systems. Explore the CAP theorem and strategies for maintaining data integrity in distributed environments. Real-World Use Cases: Gain insights into how diverse industries leverage NoSQL databases to solve complex problems. From e-commerce to social networks, explore the applications that harness NoSQL's power. Migration Strategies: Discover techniques for migrating from traditional databases to NoSQL. Learn about data transformation, schema evolution, and ensuring a smooth transition. In a data-driven world, the need for flexible and scalable data storage solutions is paramount. "Mastering NoSQL" empowers database administrators, developers, and technology enthusiasts to unlock the potential of NoSQL databases, enabling them to build applications that thrive in the face of dynamic data demands. Embrace the Future of Data Storage: As the data landscape continues to evolve, NoSQL databases have emerged as a game-changing solution. "Mastering NoSQL" equips you with the knowledge needed to navigate this paradigm shift, allowing you to build resilient, adaptable, and scalable systems that thrive in the era of big data. Your journey to mastering the art of NoSQL begins here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Scale Up For Linux On Ibm Z

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Author : Lydia Parziale
language : en
Publisher: IBM Redbooks
Release Date : 2017-12-12

Scale Up For Linux On Ibm Z written by Lydia Parziale and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-12 with Computers categories.

This book was written by IBM® IT specialists who have experience implementing IBM Z® solutions, especially Linux on IBM LinuxONETM (LinuxONE) or IBM Z servers. Therefore, the content of this book follows the guidelines from Linux and IBM z/VM® regarding LinuxONE and IBM Z installations. The preferred practices described in this book are gathered from the experiences of those specialists in hundreds of projects at IBM and customer environments. This publication provides you with all of the information that you need to decide the best scaling architecture when implementing Linux on IBM Z or LinuxONE. This book has the following goals: To inform you about x86 sprawl problems To inform you that x86 Vertical Scale out architectures are problematic going forward To provide solutions to x86 server sprawl problems To inform you about the LinuxONE and IBM Z differentiation for each x86 server sprawl problem To provide virtulization and security options for LinuxOne and IBM Z The scaling up and scaling out architectures enable you to scale the capacity of an existing system to attend a sporadic application demand or an application workload. This gives you some freedom to operate in the environment. However, if this activity is performed without correct planning and the correct architecture choice, it leads to a server sprawl situation where your environment houses more servers than it should based on its current and predicted requirements. Although scaling out on x86 systems is a common form of scaling because of their popularity, the x86 systems were originally designed as cheap computers. Unfortunately, the scale out on x86 can easily become a problem in terms of total cost of ownership (TCO) when the environment starts to increase in terms of number of physical servers. The LinuxONE and IBM Z servers solve the sprawl problem caused by the scaling out of x86 servers, and are an excellent choice for cloud, mobile, big data, blockchain, analytics, and other workloads that require a robust and flexible environment. This publication describes the advantages and disadvantages of the scaling options. The audience of this publication consists of the following groups: Customers, IBM Business Partners, and IBM consultants planning and installing Linux on IBM Z, IBM Z family or x86 platform System administrators administering the Linux Systems If you are a customer considering LinuxONE and IBM Z family as a platform for your applications (analytics, blockchain, cloud, or other) or a pre-sales person, read those publications.

Mongodb In Action

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Author : Kyle Banker
language : en
Publisher: Simon and Schuster
Release Date : 2016-03-29

Mongodb In Action written by Kyle Banker 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 2016-03-29 with Computers categories.

Summary MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This document-oriented database was built for high availability, supports rich, dynamic schemas, and lets you easily distribute data across multiple servers. MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads. About the Book MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Lots of examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment. What's Inside Indexes, queries, and standard DB operations Aggregation and text searching Map-reduce for custom aggregations and reporting Deploying for scale and high availability Updated for Mongo 3.0 About the Reader Written for developers. No previous MongoDB or NoSQL experience is assumed. About the Authors After working at MongoDB, Kyle Banker is now at a startup. Peter Bakkum is a developer with MongoDB expertise. Shaun Verch has worked on the core server team at MongoDB. A Genentech engineer, Doug Garrett is one of the winners of the MongoDB Innovation Award for Analytics. A software architect, Tim Hawkins has led search engineering at Yahoo Europe. Technical Contributor: Wouter Thielen. Technical Editor: Mihalis Tsoukalos. Table of Contents PART 1 GETTING STARTED A database for the modern web MongoDB through the JavaScript shell Writing programs using MongoDB PART 2 APPLICATION DEVELOPMENT IN MONGODB Document-oriented data Constructing queries Aggregation Updates, atomic operations, and deletes PART 3 MONGODB MASTERY Indexing and query optimization Text search WiredTiger and pluggable storage Replication Scaling your system with sharding Deployment and administration