Read Chapter 1 NoSQL: Its About Making Intelligent Choices by Daniel G. McCreary and Ann M. Kelly.

Choose one of the five case studies

1. In at least 200 words:
   1. Describe big data in your own words.
   2. List which of the Vs of big data is described in the case study you chose. i choose the below case study
   3. Discuss why a NoSQL solution was the best choice in the scenario.

1.3.4. Case study: Amazon's Dynamo-accept an order 24 hours a day, 7 days a week Google's work focused on ways to make distributed batch processing and reporting easier, but wasn't intended to support the need for highly scalable web storefronts that ran 24/7. This development came from Amazon. Amazon published another significant NoSQL paper: Amazon's 2007 Dynamo: A Highly Available Key-Value Store. The business motivation behind Dynamo was Amazon's need to create a highly reliable web storefront that supported transactions from around the world 24 hours a day, 7 days a week, without interruption. Traditional brick-and-mortar retailers that operate in a few locations have the luxury of having their cash registers and point-of-sale equipment operating only during business hours. When not open for business, they run daily reports, and perform backups and software vebook.manning.com/book/making-sense-of-nosql chapter-1/ 11 21 Chapter 1. NoSQL: It's about making intelligent choices - Making Sense of NoSQL upgrades. The Amazon model is different. Not only are their customers from all corners of the world, but they shop at all hours of the day, every day. Any downtime in the purchasing cycle could result in the loss of millions of dollars. Amazon's systems need to be iron-clad reliable and scalable without a loss in service. In its initial offerings, Amazon used a relational database to support its shopping cart and checkout system. They had unlimited licenses for RDBMS software and a consulting budget that allowed them to attract the best and brightest consultants for their projects. In spite of all that power and money, they eventually realized that a relational model wouldn't meet their future business needs. Many in the NoSQL community cite Amazon's Dynamo paper as a significant turning point in the movement. At a time when relational models were still used, it challenged the status quo and current best practices. Amazon found that because key-value stores had a simple interface, it was easier to replicate the data and more reliable. In the end, Amazon used a key-value store to build a turnkey system that was reliable, extensible, and able to support their 24/7 business model, making them one of the most successful online retailers in the world