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MongoDB Recipes - Ganesan, Dharanitharan

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    Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9781484248904_dbm

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        Présentation Mongodb Recipes de Ganesan, Dharanitharan Format Broché

         - Livre Informatique

        Livre Informatique - Ganesan, Dharanitharan - 30/11/2019 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Ganesan, Dharanitharan - Chellappan, Subhashini
      • Editeur : Apress L.P.
      • Langue : Anglais
      • Parution : 30/11/2019
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 268
      • Expédition : 411
      • Dimensions : 23.5 x 15.5 x 1.5
      • ISBN : 9781484248904



      • Résumé :

        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 For
        Developers and professionals who work with MongoDB.
        ...

        Biographie:

        Subhashini Chellappan is a technology enthusiast with expertise in the big data and cloud space. She has rich experience in both academia and the software industry. Her areas of interest and expertise are centered on business intelligence, big data analytics and cloud computing.
        Dharanitharan Ganesan is an MBA in Technology management with high level of exposure and experience in big data - Apache Hadoop, Apache Spark and various Hadoop ecosystem components. He has a proven track record of improving efficiency and productivity through the automation of various routine and administrative functions in business intelligence and big data technologies. His areas of interest and expertise are centered on machine learning algorithms, Blockchain in Bigdata, statistical modelling and predictive analytics.
        ...

        Sommaire:

        Chapter 1: MongoDB Features and Installation

        Chapter Goal: In this chapter, you will learn NoSQL databases, CAP theorem, MongoDB Features and MongoDB tools. This chapter will also cover installation of MongoDB and its associated tools.

        Sub Topics:

        NoSQL Databases and Categories

        CAP Theorem

        MongoDB Features

        MongoDB Tools

        Describe JSON and BSON

        Installing MongoDB on Windows, Linux

        MongoDB Terms

        MongoDB Data Types

        Chapter 2: CRUD Operations

        Chapter Goal: In this chapter, you will learn how to perform CRUD operations with MongoDB. This chapter also help you to understand how to query embedded documents and arrays.

        Basic CRUD operations

        Query Embedded Documents

        Query Arrays

        Bulk Write Operations

        Chapter 3: Data Modelling

        Chapter Goal: In this chapter, you will learn schema design and various data modelling patterns in MongoDB.

        Data Modelling Concepts

        Data Model Patterns

        Model Relationship between documents

        Model Tree Structures

        Chapter 4: Indexing and Aggregation Framework

        Chapter Goal: In this chapter, you will learn indexes types and Aggregation Framework in MongoDB.

        Introduction to indexes

        Index Types

        Creating Indexes

        Introduction to Aggregation Framework

        Aggregation Framework Types

        Chapter 5: MongoDB Replication and Sharding

        Chapter Goal: In this chapter, you will learn the replication set up and sharding set up.

        Replication Concepts

        Master Slave Replication

        Replication Setup

        Introduction to Sharding and concepts

        Shard Setup

        Types of Sharding

        Chapter 6: MongoDB Transaction

        Chapter Goal: In this chapter, you will learn transactions in MongoDB.

        Atomicity

        Multi-Document Transaction

        Concurrency Control

        Chapter 7: MongoDB Administration

        Chapter Goal: In this chapter, you will learn Database Profiler, MongoDB Backup Methods and Monitoring MongoDB.

        Database Profiler

        MongoDB Backup Methods

        Monitoring MongoDB

        Chapter 8: MongoDB Security

        Chapter Goal: In this chapter, you will learn security aspects of MongoDB.

        Creating Users

        Creating and Assigning custom roles

        Authenticating Server

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