Linkedin - Data Modeling in MongoDB

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[ TutPig.com ] Linkedin - Data Modeling in MongoDB
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 01 - Introduction to data modeling.mp4 (11.7 MB)
    • 01 - Introduction to data modeling.srt (7.6 KB)
    • 02 - Prerequisites.mp4 (6.7 MB)
    • 02 - Prerequisites.srt (7.8 KB)
    • 03 - The problem domain Social media project.mp4 (5.5 MB)
    • 03 - The problem domain Social media project.srt (5.3 KB)
    02 - 1. MongoDB Modeling Basics
    • 01 - Mongo ERD vs. SQL.mp4 (12.2 MB)
    • 01 - Mongo ERD vs. SQL.srt (13.3 KB)
    • 02 - Application-driven architecture.mp4 (20.3 MB)
    • 02 - Application-driven architecture.srt (21.8 KB)
    • 03 - Query-first modeling.mp4 (11.0 MB)
    • 03 - Query-first modeling.srt (12.4 KB)
    • 04 - Challenge Create the golden model object for an online retailer.mp4 (3.9 MB)
    • 04 - Challenge Create the golden model object for an online retailer.srt (3.9 KB)
    • 05 - Solution.mp4 (4.9 MB)
    • 05 - Solution.srt (3.2 KB)
    03 - 2. Complex Modeling
    • 01 - Embedded documents as subdocuments.mp4 (8.0 MB)
    • 01 - Embedded documents as subdocuments.srt (7.3 KB)
    • 02 - Summary and partial documents.mp4 (12.2 MB)
    • 02 - Summary and partial documents.srt (11.4 KB)
    • 03 - One-to-one relationships.mp4 (14.5 MB)
    • 03 - One-to-one relationships.srt (13.1 KB)
    • 04 - One-to-many relationships with embedded documents.mp4 (16.6 MB)
    • 04 - One-to-many relationships with embedded documents.srt (14.3 KB)
    • 05 - One-to-many relationships with back references.mp4 (9.1 MB)
    • 05 - One-to-many relationships with back references.srt (7.2 KB)
    • 06 - Many-to-many relationships.mp4 (11.5 MB)
    • 06 - Many-to-many relationships.srt (9.3 KB)
    • 07 - Challenge Create the proper relationships and summary documents for an online store.mp4 (4.2 MB)
    • 07 - Challenge Create the proper relationships and summary documents for an online store.srt (2.8 KB)
    • 08 - Solution.mp4 (12.6 MB)
    • 08 - Solution.srt (11.2 KB)
    04 - 3. Implementation Tools
    • 01 - Schema versioning.mp4 (11.2 MB)
    • 01 - Schema versioning.srt (10.4 KB)
    • 02 - JSON Schema.mp4 (13.6 MB)
    • 02 - JSON Schema.srt (14.1 KB)
    • 03 - Modeling tools.mp4 (31.7 MB)
    • 03 - Modeling tools.srt (23.1 KB)
    • 04 - ORMs.mp4 (38.9 MB)
    • 04 - ORMs.srt (24.5 KB)
    • 05 - Challenge Create a schema in a visual tool and in Mongoose.mp4 (2.7 MB)
    • 05 - Challenge Create a schema in a visual tool and in Mongoose.srt (2.5 KB)
    • 06 - Solution.mp4 (9.5 MB)
    • 06 - Solution.srt (6.6 KB)
    05 - 4. Best Practices
    • 01 - Embedding vs. references.mp4 (15.8 MB)
    • 01 - Embedding vs. references.srt (15.6 KB)
    • 02 - Optimization Antipatterns.mp4 (16.4 MB)
    • 02 - Optimization Antipatterns.srt (16.9 KB)
    • 03 - Optimization Best practices.mp4 (9.0 MB)
    • 03 - Optimization Best practices.srt (8.6 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Data Modeling in MongoDB



https://TutPig.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 25m | Size: 313.6 MB

MongoDB is a leading noSQL database that stores data in documents or collections, which is very different from the relational or SQL databases that most data developers are familiar with. In this course, instructor John Cokos explores ways to use MongoDB at scale with complex data modeling techniques and cloud deployments. As a means of nstrating the complexities of modeling real-world data with MongoDB, John works through the process of setting up an application resembling a social media website, and shows you how to model frequently used, deeply nested, and shared data sources to support an enterprise-level application. John also presents a series of challenges and solutions, so you can test your learning along the way.



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Linkedin - Data Modeling in MongoDB

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313.6 MB
seeders:11
leechers:1
Linkedin - Data Modeling in MongoDB

Torrent hash: DC8749381E28FF2BFEC87E2A2045F66B37BEC6FE