Building Enterprise Solutions with MongoDB Training

Level: Intermediate
Rating: 4.7/5 4.72/5 Based on 47 Reviews

As table-based databases struggle to cope with an ever-growing variety of data, this MongoDB training course will show you how its document-oriented nature will allow you to quickly build highly scalable applications. You will gain the skills to develop, administer, secure, and scale MongoDB-based applications, and acquire low-cost, data-driven applications with MongoDB as the back-end database.

Key Features of this MongoDB Training

  • After-course instructor coaching benefit
  • Learning Tree end-of-course exam included
  • After-course computing sandbox included

You Will Learn How To

  • Develop highly scalable and cost-efficient applications with MongoDB
  • Build efficient MongoDB data models for enterprise-scale applications
  • Enhance performance with indexing and sharding
  • Manage consistency with write concern and read preference
  • Process data and compute results with aggregation pipelines and MapReduce

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LIVE, INSTRUCTOR-LED

In Class & Live, Online Training

  • 4-day instructor-led training course
  • After-course instructor coaching benefit
  • Learning Tree end-of-course exam included
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Standard $3285

Government $2890

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In Class & Live, Online Training

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Note: This course runs for 4 Days

  • Feb 11 - 14 9:00 AM - 4:30 PM EST New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

  • Apr 7 - 10 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

  • Jul 28 - 31 9:00 AM - 4:30 PM EDT New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

  • Sep 29 - Oct 2 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

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MongoDB Course Information

  • Recommended Experience

    • Knowledge of databases and SQL
    • Java programming

MongoDB Course Outline

  • Setting the Stage

    Recognizing the need for NoSQL data stores

    • Justifying non-relational data stores
    • Listing the categories of NoSQL Data Stores

    Focusing on MongoDB

    • Defining the MongoDB architecture
    • Reviewing the JSON standard
    • Enumerating the MongoDB data types

    Interacting with MongoDB

    • Querying at the Command Line Interface
    • Running Scripts
    • Manipulating MongoDB data from Python and Java
  • Installing MongoDB

    Surveying Cluster Topology

    • Creating a standalone mongod
    • Achieving redundancy with replica sets
    • Replicating data with the oplog

    Dissecting MongoDB Storage Strategies

    • Identifying storage engines
    • Improving data safety with journaling
    • Investigating record allocation strategies

    Storing Large Files with GridFS

    • Weighing the advantages and disadvantages of GridFS
    • Leveraging the mongofiles utility tool
    • Compressing data for economy of drive space
  • Exploring the MongoDB Data and Query Model

    Organizing Data

    • Storing data in Databases, collections and documents
    • Inserting and updating Documents
    • Running scripts from the Mongo Shell

    Querying Documents

    • Restricting find() with a query document
    • Specifying keys for queries to return
    • Constraining the number of results with limit and skip

    Modeling Relationships

    • Express relationships using references
    • Embedding sub-documents
  • Configuring Replication and Data Consistency

    Configuring Read and Write Consistency

    • Reading from primary and secondary nodes
    • Setting the read preference level
    • Selecting the Appropriate Write Concern
    • Writing with a timeout

    Customizing Write Concern and Read Preference

    • Applying tags to replicas
    • Adding logical names to write concerns
    • Reading from a tagged mongod
  • Tuning Performance with Indexes

    Improving access speed with indexes

    • Investigating a query with the explain() function
    • Getting statistics from explain()
    • Choosing an index with the hint() function

    Considering the cost and benefit of indexing

    • Designing a better index
    • Opting out of using an index
    • Profiling to identify slow queries

    Taking advantage of indexes

    • Sorting and finding ranges with an index
    • Guaranteeing uniqueness with indexes
    • Skipping missing fields with a sparse index

    Managing collections with special indexes

    • Aging data out of a capped collection
    • Searching for text fragments with $text
    • Deleting documents automatically using time to live indexes
    • Permitting queries by location
  • Utilizing the Aggregation Framework

    Leveraging the different modes of the Aggregation Framework

    • Invoking single-purpose aggregation functions
    • Performing operations with the Aggregation Pipeline framework
    • Executing MapReduce on MongoDB

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MongoDB Training FAQs

  • What is MongoDB?

    MongoDB is a document-oriented database to allow developers to quickly build highly scalable applications.

  • Is MongoDB a relational database?

    MongoDB is not a relational database, it is a document-oriented database that stores a collection of data from individual documents rather than individual rows.

  • Can I learn MongoDB online?

    Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.

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