SkillSoft Explore Course – Lambers, Inc.

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IT Professional Curricula Enterprise Database Systems Solution Area Data Science MongoDB for Data Wrangling

This course explores how to use MongoDB, a cross-platform document-oriented database that has become a popular tool for data wrangling and data science. MongoDB is a NoSQL (not only structured query language) that uses JSON (Javascript Object Notation) like documents with schemata. One advantage of MongoDB is the flexibility of how it stores data. You will learn how to perform MongoDB actions related to data wrangling by using Python with the PyMongo library. You will learn how to perform basic CRUD (create, read, update, delete) operations on a Mongo DB document. Next, learn how to use the find operation to select documents from a collection, and to use query operators to match document criteria. You will learn how to select documents using a specified criterion, similar to a WHERE clause in an SQL statement. Finally, this course demonstrates how to use the mongoimport tool to import from JSON or CSV, and mongoexport to export data from a MongoDB collection to JSON or CSV (comma separated values).

Asset ID	it_dsmgswdj_01_enus
Course Type	Video Course
Course Category	Enterprise Database Systems Solution Area

Objectives
MongoDB for Data Wrangling: Querying Course Overview configure and test PyMongo in a Python program work with MongoDB document structure perform create, read, update, and delete operations on a MongoDB document work with MongoDB document ObjectIDs and Timestamps use the find operation to select documents from a collection specify the fields to be returned from the find operation use the comparison query operators to match criteria apply the $exists and $type elements to a query use the $regex operator to query documents use the $size and $all operators to query array fields perform a text search query on string content use the mongoimport tool to import from JSON and CSV use the mongoexport tool to export data from MongoDB to JSON and CSV combine a number of different operators to get a result from MongoDB

Objectives

MongoDB for Data Wrangling: Querying

Course Overview
configure and test PyMongo in a Python program
work with MongoDB document structure
perform create, read, update, and delete operations on a MongoDB document
work with MongoDB document ObjectIDs and Timestamps
use the find operation to select documents from a collection
specify the fields to be returned from the find operation
use the comparison query operators to match criteria
apply the $exists and $type elements to a query
use the $regex operator to query documents
use the $size and $all operators to query array fields
perform a text search query on string content
use the mongoimport tool to import from JSON and CSV
use the mongoexport tool to export data from MongoDB to JSON and CSV
combine a number of different operators to get a result from MongoDB