Mongo DB

Mongo DB

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    Introduction

    Mongo DB is a free source record database, specifically designed to overcome the drawbacks encountered in relational database. It provides a high level of performance, automatic scaling and availability. It’s based on the architecture of collections and documents, instead of rows and tables use in relational databases. Collections consists of sets of functions and documents, that are resembling to relational database tables under the NoSQL banner. It is written in C++ languages and it has features such as high availability, WAN’s for scale, rich querying, auto sharing and mirror across LAN’s.

    COURSE SUMMARY

    Course Name Mongo DB Online Training
    Contents Database management Through Mongo DB
    Duration 30 Hours with Flexible timings
    Delivery Instructor Led-Live Online Training
    Eligibility Any Graduate
    Ideal For Aspiring job seekers in the field of Programming
    Next Batch Please visit the schedule section

    Course Objectives

    • Learn how to implement and architect Schema using Advanced Queries.
    • Gain an insight into the ‘Roles’ played by a MangoDB expert.
    • Understand Availability and scalability in MongoDB using Sharding
    • Understand Hadoop and MongoDB Integration
    • Various MongoDB tools to develop and implement applications
    • Learn to integrate MongoDB with tools
    • Learn MongoDB Administration activities
    • Understand MongoDB Aggregation framework
    • How to setup Sharding
    • Learn MongoDB Recovery and Backup choice and techniques
    • Troubleshoot Performance issues.

    PRE-REQUISITES:

     Knowledge of any programming language

    Course Curriculum

    MODULE 1: INTRODUCTION TO MONGODB

    TOPICS: Package Contents, Downloading, First Run, Command Line Options, Verify Server, Database is Namespace, Getting Help in the Shell, Install As Service, Configuring a Replica Set, Replica Sets, Replica Set Failover, Verifying Replication Works

    MODULE 2: NOSQL AND ITS IMPORTANCE

    TOPICS: Database Type, OLAP, Type of NOSQL Database, OLTP, Challenges with RDBMS, NOSQL, Why NOSQL, CAP Theorem, ACID property, Introduction to Json or Bson, Base property, MongoDB use cases, Json Data types, Unacknowledged, Database collection & document, Juurnaled, Acknowledged, Repica Acknowledged, Fsynced

    MODULE 3: THE MONGO SHELL

    TOPICS: Shell Role in Ecosystem, Shell Invoking Syntax, Shell Modes, Substantial Scripts, Using Eval, Multiline Editing, Execute Script Before Enter, External Editor Integration, Shell Keys and Shortcuts, Load Script from Within, User RC File, Shell Alternatives, Common Safety Usage Tip

    MODULE 4: SAVING DATA

    TOPICS: Overview, BSON, Storage, Collections, Document Id, Saving Documents, Insert, ObjectId, Complex Document, Insert with Id, Update Command, Update Demo, Save Danger, Unset Operator, Set Operator, Push Operator, Pop Operator, Rename Operator, Array Type, Multi Update, Pull Operator, Query With Sort, Demo Find And Modify, Documentation, Find And Modify

    MODULE 5: FINDING DOCUMENTS

    TOPICS: find(), Projection, Equality, $not, Comparison, $all, $in, Arrays, Dot Notation, $nin, null and $exists, Sub-Document, More Projection, Cursor, And, limit(),sort(), skip(),findOne()

    MODULE 6: INDEXING

    TOPICS: Index Theory, Scan Is Bad, Index Types, Sort Uses Index, Create Index, explain(), system.indexes collection, Multi-Term Query, n scanned, Comparison, dropIndex(),Scanned vs. Returned, Array Field, Sort, Nested Fields, Sparse, Compound, Unique, Dead Weight, Sort Direction, Covering Index, Index Name, Background builds

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