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MongoDB Essentials

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21 horas

about the course

This course teaches participants how to use the MongoDB open-source NoSQL document database. Attendees learn Mongo's most compelling use cases and master the fundamentals of Mongo’s features.

ideal for

  • Developers

  • DB administrators

objectives

At the end of this course, you will be able to: 

  • Understand Mongo as a data store

  • Be comfortable with Mongo's query and update languages

  • Work with the common use-cases and architectures of Mongo

  • Use Mongo's built-in JavaScript interpreter

  • Query Mongo using Mongo's JSON-based query language

  • Index Mongo collections

  • Handle data with Mongo's built -in MapReduce capabilities


prerequisite knowledge

All students should be familiar with basic programming in almost any scripting or object-oriented language (command -line scripting, database programming, or application programming), and have some experience with any SQL or NoSQL database.

course program

  • Introduction

  • What is MongoDB?

  • The current SQL/NoSQL landscape

  • Document-oriented vs. other types of storage

  • Mongo's featureset

  • Common use-cases

  • Introduction to JSON

  • Documents and collections

  • Creating documents

  • Managing documents in collections

  • Iterating over documents

  • Simple Queries

  • Field equality tests

  • Operators available

  • Projections

  • Limiting results and paging

  • Simple Updates and Deletes

  • Field updates

  • Field insertions and removal

  • Document deletion

  • More Complex Types of Queries

  • Existential field values

  • Aggregations and groups

  • Aggregations and groups in hierarchical data

  • Updates and Arrays

  • Altering array field elements

  • Insertion to array fields

  • Removing from array fields

  • Indexing 1

  • The primary index and the _id field

  • Problems requiring an index

  • Defining secondary indexes

  • Compound indexes

  • Indexing 2

  • Index selection

  • Index hints

  • Covering indexes

  • Index storage size

  • Indexes effect insertion and update speeds

  • Mongo RESTful API

  • CRUD operations through REST

  • MapReduce

  • Explanation of MapReduce

  • Types of logic that can be expressed as MapReduce declarations

  • Mapping documents

  • Reducing values

  • Mongo Security

  • Authorization and securing collections, documents

  • The limits of Mongo's authorization scheme

  • Authentication

  • Mongo in the enterprise

  • Mongo Replication and Sharding

  • Configuring replication

  • Configuring sharding

  • Accessing clustered data from client APIs

  • Latency and consistency in replicated and sharded Mongo