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Data Modeling for MongoDB, by Steve Hoberman
Download Ebook Data Modeling for MongoDB, by Steve Hoberman
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Congratulations! You completed the MongoDB application within the given tight timeframe and there is a party to celebrate your application's release into production. Although people are congratulating you at the celebration, you are feeling some uneasiness inside. To complete the project on time required making a lot of assumptions about the data, such as what terms meant and how calculations are derived. In addition, the poor documentation about the application will be of limited use to the support team, and not investigating all of the inherent rules in the data may eventually lead to poorly-performing structures in the not-so-distant future.
Now, what if you had a time machine and could go back and read this book. You would learn that even NoSQL databases like MongoDB require some level of data modeling. Data modeling is the process of learning about the data, and regardless of technology, this process must be performed for a successful application. You would learn the value of conceptual, logical, and physical data modeling and how each stage increases our knowledge of the data and reduces assumptions and poor design decisions.
Read this book to learn how to do data modeling for MongoDB applications, and accomplish these five objectives:
- In Section I, Getting Started, we will reveal the power of data modeling and the tight connections to data models that exist when designing any type of database (Chapter 1), compare NoSQL with traditional relational databases and where MongoDB fits (Chapter 2), explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts (Chapter 3), and explain the basics of adding, querying, updating, and deleting data in MongoDB (Chapter 4).
- In Section II, Levels of Granularity, we cover Conceptual Data Modeling (Chapter 5), Logical Data Modeling (Chapter 6), and Physical Data Modeling (Chapter 7). Notice the "ing" at the end of each of these chapters. We focus on the process of building each of these models, which is where we gain essential business knowledge.
- In Section III, Case Study, we will explain both top down and bottom up development approaches and go through a top down case study where we start with business requirements and end with the MongoDB database. This case study will tie together all of the techniques in the previous seven chapters.
- Sales Rank: #990300 in Books
- Published on: 2014-06-15
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .51" w x 7.50" l, .0 pounds
- Binding: Paperback
- 226 pages
About the Author
Steve Hoberman is the most requested data modeling instructor in the world. In his consulting and teaching, he focuses on templates, tools, and guidelines to reap the benefits of data modeling with minimal investment. He taught his first data modeling class in 1992 and has educated more than 10,000 people about data modeling and business intelligence techniques since then. Steve is the author of seven books on data modeling, the founder of the Design Challenges group, inventor of the Data Model Scorecard, Conference Chair of the Data Modeling Zone conference, and recipient of the 2012 Data Administration Management Association (DAMA) International Professional Achievement Award. Steve can be reached at me@stevehoberman.com, @DataMdlRockStar on Twitter, or through Steve Hoberman on Linked-In.
Most helpful customer reviews
10 of 12 people found the following review helpful.
Not much about MongoDB
By Dimitri K
The author is a Business analyst and writes about data modeling procedures for business. Not even sure how much he knows about relational databases. But he is definitely not a MongoDB expert. All his models for MongoDB suspiciously resemble relational models. His advice are always rather to make model more relational than not. He avoids discussing any technical or architectural issues.
The book is about regular process of business data modeling, with a little text copy-pasted from some MongoDB API specification. A smart BA who wants to sell a book about his BA experience by using a hot "MongoDB" word in the title.
4 of 4 people found the following review helpful.
Well written book
By Phantom1024
This book is for you If you are new to MongoDB and have worked with other databases systems such as mysql, oracle and SQL server. This book is also for you if you have little experience designing data models.
This book is a quick read, but it provides you with a framework and step by step guidelines on how to design your data model, what questions to ask and how to document your model.
3 of 3 people found the following review helpful.
Excellent read for all Data Modelers
By Chuck
Having done data modeling for years and having worked with MongoDB as well, I was not sure what to expect from Data Modeling for MongoDB. Steve Hoberman has done wonderful things for the data modeling world, but I was not sure how he would put together a book for this topic. Wow... was I surprised.
I think that this is an excellent read even if you are not doing MongoDB. Steve does a fine (as expected) job of explaining Conceptual, Logical, and Physical data modeling and how it relates to relational, dimension, and NoSQL (specifically MongoDB) databases. He constantly brings home the point that NoSQL is not NoDataModeling. Or as I have heard it said many times, schema-less does not mean design-less.
I you need to build a system that is well designed ans supportable, this should be the first book you pick up.
Bravo, Mr. Hoberman for this excellent reference material.
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