
Verify your MongoDB installation by running mongod --version, start the service (linux: sudo service mongod start), then use mongos and db.version to confirm the installed database version.
Download the free Hemlock software from hemlock data.org and choose the appropriate file for your OS. Unzip or install, run Hemlock, and register and log in.
Create the hospital database in MongoDB by updating the uri with the database name, then define collections for patients, doctors, treatment plans, pharmacy, and bills, and add patient documents.
Learn to read, update, and delete data in MongoDB by practicing find, updateOne, updateMany, deleteOne, and deleteMany on a patients collection, with hands-on examples and guidance from MongoDB documentation.
Discover how MongoDB querying and filtering operators find documents that match criteria, with examples like patients over 50 or in a location; learn logical and comparison operators and basic applications.
Explore modeling and querying hierarchical data in MongoDB with parent references and graph lookup. Build a hospital departments collection and use graph lookup to traverse trees and create subdepartments.
Explore how to store and query time series data in MongoDB by loading hourly data with insert many, running range queries, computing averages, and indexing the timestamp for performance.
Download Hemlock: https://docs.hemlockdata.org/docs/Downloads
Download large jobs file: https://github.com/theallegrarr/package_manager/blob/main/others/large_list_of_jobs.json
Aggregate command: https://github.com/theallegrarr/package_manager/blob/main/others/aggregate_command.txt
Are you ready to dive into the world of NoSQL databases and unlock the potential of MongoDB? Welcome to "Mastering MongoDB," your gateway to becoming a proficient MongoDB developer and administrator.
In this in-depth course, you will embark on a journey through the fundamentals and advanced aspects of MongoDB, a leading NoSQL database used by organizations worldwide. Whether you're a developer seeking to integrate MongoDB into your applications, a database administrator looking to manage MongoDB clusters, or a data enthusiast exploring new horizons, this course is designed for you.
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Database Essentials: Begin by understanding the core concepts of NoSQL databases, the MongoDB architecture, and its versatile use cases.
Data Modeling: Dive into data modeling and learn how to structure documents, create effective schemas, and balance the trade-offs between embedding and referencing data.
CRUD Operations: Master Create, Read, Update, and Delete operations in MongoDB, harnessing its flexible and intuitive query language.
Aggregation and Performance: Explore the power of the aggregation framework to perform complex data transformations and unleash the full potential of MongoDB's indexing capabilities.
Scalability and High Availability: Learn to scale MongoDB horizontally using sharding and ensure high availability with replica sets, keeping your data accessible and secure.
Security and Best Practices: Understand user authentication, authorization, and data encryption to build and manage secure MongoDB systems. Discover best practices for performance tuning and troubleshooting.
Real-World Applications: Explore real-world use cases and case studies from various industries to see MongoDB in action and learn from practical examples.
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