Download MongoDB Data Modeling by Wilson da Rocha Franca PDF

By Wilson da Rocha Franca

Focus on facts utilization and higher layout schemas with the aid of MongoDB

About This Book

  • Create trustworthy, scalable info versions with MongoDB
  • Optimize the schema layout procedure to help purposes of all kinds
  • Use this finished advisor to enforce complicated schema designs

Who This ebook Is For

This e-book is meant for database execs, software program builders, and designers who've a few prior event with MongoDB and now are looking to shift their concentration to the innovations of information modeling. if you want to enhance higher schema designs for MongoDB-based purposes, this booklet is perfect for you.

What you'll Learn

  • Optimize your versions in line with priorities
  • Discover the schemaless document-oriented database design
  • Improve the method of querying a record with assistance from indexing
  • Set up a sharded atmosphere with replication
  • Configure the learn choice in keeping with your application's requirements
  • Create potent indexes that would suit your program needs
  • Understand tips to study the functionality of your queries to prevent functionality issues

In Detail

This booklet covers the fundamental techniques in facts modeling and in addition provide you with the instruments to layout greater schemas. With a spotlight on information utilization, this publication will hide how queries and indexes can effect the best way we layout schemas, with thorough examples and particular code.

The publication starts with a short dialogue of knowledge versions, drawing a parallel among relational databases, NoSQL, and accordingly MongoDB. subsequent, the booklet explains the main uncomplicated MongoDB options, corresponding to learn and write operations, indexing, and the way to layout schemas through figuring out how purposes will use the knowledge. eventually, we are going to speak about most sensible practices that can assist you optimize and deal with your database, proposing you with a real-life instance of information modeling on a real-time logging analytics application.

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Extra resources for MongoDB Data Modeling

Sample text

Com", "password": "bf383e8469e98b44895d61b821748ae1" "details": { "firstName": "John", "lastName": "Clay", "gender": "male", "age": 25 } } The advantage of representing the relationship with an embedded document is that the customer detail data is always available when we query a customer. Thus, we can say that a customer's details do not make sense by themselves, only alongside the customer data. [ 30 ] Chapter 2 One-to-many One-to-many relationships are more complex than one-to-one relationships.

29 ] Data Modeling with MongoDB The following example shows a customer's document. com", "password": "bf383e8469e98b44895d61b821748ae1" "details": { "firstName": "John", "lastName": "Clay", "gender": "male", "age": 25 } } The advantage of representing the relationship with an embedded document is that the customer detail data is always available when we query a customer. Thus, we can say that a customer's details do not make sense by themselves, only alongside the customer data. [ 30 ] Chapter 2 One-to-many One-to-many relationships are more complex than one-to-one relationships.

It is a good idea not to plan the data format to be persisted, even in a NoSQL database. Moreover, at first sight, this is the point where database administrators, quite used to the relational world, become more uncomfortable. Relational database standards, such as SQL, brought us a sense of security and stability by setting up rules, norms, and criteria. On the other hand, we will dare to state that this security turned database designers distant of the domain from which the data to be stored is drawn.

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