Download E-books Data Modeling for MongoDB: Building Well-Designed and Supportable MongoDB Databases PDF

By Steve Hoberman

Congratulations! You accomplished the MongoDB software in the given tight time-frame and there's a get together to have a good time your application's unlock into construction. even though individuals are congratulating you on the party, you feel a few uneasiness inside of. to accomplish the venture on time required creating a lot of assumptions concerning the information, similar to what phrases intended and the way calculations are derived. moreover, the bad documentation concerning the software can be of restricted use to the aid staff, and never investigating the entire inherent ideas within the information may possibly finally bring about poorly-performing constructions within the not-so-distant destiny.

Now, what in the event you had a time computer and will return and browse this e-book. you are going to research that even NoSQL databases like MongoDB require a few point of information modeling.
Data modeling is the method of studying in regards to the info, and despite know-how, this method needs to be played for a profitable application. you'll research the price of conceptual, logical, and actual facts modeling and the way every one level raises our wisdom of the information and decreases assumptions and terrible layout decisions.

Read this e-book to benefit tips on how to do facts modeling for MongoDB functions, and attain those 5 objectives:

  1. Understand how facts modeling contributes to the method of studying in regards to the information, and is, hence, a required process, even if the ensuing database isn't relational. that's, NoSQL doesn't suggest NoDataModeling!
  2. Know how NoSQL databases vary from conventional relational databases, and the place MongoDB fits.
  3. Explore each one MongoDB item and understand how each one compares to their information modeling and conventional relational database opposite numbers, and research the fundamentals of including, querying, updating, and deleting facts in MongoDB.
  4. Practice a streamlined, template-driven method of appearing conceptual, logical, and actual facts modeling. realize that facts modeling doesn't constantly need to result in conventional information models!
  5. Distinguish top-down from bottom-up improvement techniques and whole a top-down case learn which ties the entire modeling innovations together.

This publication is written for someone who's operating with, or might be operating with MongoDB, together with enterprise analysts, info modelers, database directors, builders, venture managers, and information scientists. There are 3 sections:

  • In part I, Getting Started, we are going to exhibit the ability of information modeling and the tight connections to information versions that exist whilst designing any kind of database (Chapter 1), examine NoSQL with conventional relational databases and the place MongoDB suits (Chapter 2), discover each one MongoDB item and understand how every one compares to their info modeling and conventional relational database opposite numbers (Chapter 3), and clarify the fundamentals of including, querying, updating, and deleting facts in MongoDB (Chapter 4).
  • In part II, Levels of Granularity, we disguise Conceptual facts Modeling (Chapter 5), Logical facts Modeling (Chapter 6), and actual info Modeling (Chapter 7). become aware of the "ing" on the finish of every of those chapters. We specialize in the method of creating every one of those types, that's the place we achieve crucial enterprise knowledge.
  • In part III, Case Study, we are going to clarify either most sensible down and backside up improvement methods and struggle through a most sensible down case examine the place we commence with company standards and finish with the MongoDB database. this situation research will tie jointly the entire thoughts within the earlier seven chapters.

Nike Senior facts Architect Ryan Smith wrote the foreword. Key issues are incorporated on the finish of every bankruptcy to be able to make stronger strategies. furthermore, this publication is loaded with hands-on routines, besides their solutions supplied in App A. App B comprises the entire book’s references and App C the

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