MongoDB Case Study: Wordnik and Verizon Wireless

🔰 MongoDB

🔰 MongoDB Features

  1. Each database contains collections which in turn contains documents. Each document can be different with a varying number of fields. The size and content of each document can be different from each other.
  2. The document structure is more in line with how developers construct their classes and objects in their respective programming languages. Developers will often say that their classes are not rows and columns but have a clear structure with key-value pairs.
  3. The rows (or documents as called in MongoDB) doesn’t need to have a schema defined beforehand. Instead, the fields can be created on the fly.
  4. The data model available within MongoDB allows you to represent hierarchical relationships, to store arrays, and other more complex structures more easily.

1. MongoDB case study: Wordnik

🔶 Why and how Wordnik migrated from MySQL to MongoDB ?

🔶 How Wordnik getting benifitted nowdays by using MongoDB ?

2. MongoDB case study: Verizon Wireless

🔶 How And Why Verizon Wireless Chose MongoDB

The Times They Are a-Changing

But they’re getting ahead of themselves here.

🔶 How did Verizon Wireless start using MongoDB?

🔶 Putting The MongoDB Team To The Test

🔶 The Future Of MongoDB At Verizon Wireless

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