![]() He has been working on the aforementioned technologies stacks and tools since 2014 and has effectively delivered many projects in Transportation, Cloud Computing, Medicine, and Communication domains. When it comes to his expertise based on Technology Stack, he has unparalleled skills specifically in Mean.io/Mern.io (Mongo, Express, Angular, NodeJS, Socket, Flutter, ReactJS and React native). Now, he also offers his entire wide spectrum of an exceptional experience for your Consultation in the domain of Communication primarily WebRTC, Transportation, Cloud Computing and Database Schema Designs and in scaling up the existing solutions. Moreover, he has exceptional command over Cloud Computing Services (Google Cloud, Microsoft Azure, AWS), Relational (MySQL) and Non-Relational (MongoDB, Redis, Cassandra) databases, and in the domain of Telemedicine/Telehealth (Medical+Communication). Furthermore, he has a firm grip in the domain of Transportation Solutions (either related to Logistics or Ride Sharing). Primarily, he has superlative expertise in the domain of Telecommunication, providing solutions and developing real-time communication applications based on programming interfaces like WebRTC. Alger.Shah Nawaz is a passionate, results-driven, customer-focused, articulate and analytical Mean Stack Developer who can think out of the box. The post Book Review: The Little Mongo DB Schema Design Book appeared first on Blog of Ken W. ![]() Check it out and you can say “Alexa, ask MongoDB for the definition of a document?” and get a helpful response. I created a MongoDB Dictionary skill for the Amazon Echo line of products. There are a few MongoDB specific terms in this post. Or better yet, sign up for the email list to get updates in your mailbox! Version 3.6 extended the validation process with schema validation.įollow me on Twitter to get the latest updates on my postings. Document validation was introduced in version 3.2. There are some features in post-2015 releases of MongoDB that assist developers and database administrators in schema management as well. Definitely an excellent addition to one’s library for application development when using MongoDB as a database. ![]() Overall, I found this book to be a great resource for schema design. They generally just required rereading the sentence a time or two to grasp the meaning of the sentence. There were a few type-setting issues in this schema design book but I didn’t find those to be too troubling. Being a user of MongoDB after 3.2 I found the discussions of the MMAP storage engine to be less relevant than they were in 2015. There are indeed a lot of installations of MongoDB using versions before version 3.2. One of the downsides to print books about technology topics is the speed in which the information changes. In total eleven distinct design concepts are explored. The examples are done very well and provide some great coverage of a wide variety of use cases for data storage. He showcases their operations and provides recommendations for indexing, scaling, and performance implications. He follows a consistent format for each pattern discussing the unique aspects of typical data modeling patterns. Once we move into the design pattern section of the book, Kvalheim does a nice job of breaking each design option down. At the time of this writing, version 3.6 is the most current.Īfter the discussion on storage engines, we are provided with information indexes and sharding concepts before diving into specifics about schema design itself. This provides nice coverage for those using older, pre version 3.2 instances of MongoDB, as well as those who have opted to upgrade to more recent versions. Specifically the MMAP and WiredTiger storage engines. Kvalheim moves on from there to cover an overview of storage engines available in MongoDB. He used some good examples of blogs and users to explain the concepts in an easy to follow fashion. I thought his discussion of One-To-One, One-To-Many, and Many-To-Many data models was well done. Kvalheim starts off the book with a quick introduction to MongoDB and some basic principles of schema design before moving into some examples of data modeling patterns. Even though it is a bit old, the coverage of schema design is still relevant. After hearing The Little Mongo DB Schema Design Book by Christian Kvalheim mentioned elsewhere I thought I would see what it was all about. I mentioned in a previous post on Schema Design I mentioned a book on the subject and that I hadn’t, at the time, read it.
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