Download or read book NoSQL Data Modeling Using MongoDB as an Example and Recorded Live at Data Modeling Zone US written by Austin Zellner and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recorded live at Data Modeling Zone! Follow along with MongoDB expert Austin Zellner and become competent in NoSQL data modeling in this sixth topic in the NoSQL Complete course. Know the difference between referencing data and embedding data. When in doubt, embed your data. Learn how to combine data and state in the same collection. Learn about modern use case patterns including microservices. Know how to model multi-document ACID transactions. Learn about master files and working files in MongoDB.

Download or read book NoSQL Architectures Using MongoDB as an Example and Recorded Live at Data Modeling Zone US written by Austin Zellner and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recorded live at Data Modeling Zone! Follow along with MongoDB expert Austin Zellner and be able to explain at a high level the different NoSQL architectures in this fourth topic in the NoSQL Complete course. Know that MongoDB is a distributed node system. Understand the CAP Theorem, and know the tradeoffs for choosing two out of three of Availability, Consistency, and Partition Tolerance. Learn about the different architectures of Redis (Key-Value) and Neo4j (Graph). Learn about primary and secondary nodes and be able to explain that a node in MongoDB is a BSON read/write machine. Know the benefits of eventual consistency.

Download or read book NoSQL Query Languages Using MongoDB as an Example and Recorded Live at Data Modeling Zone US written by Austin Zellner and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recorded live at Data Modeling Zone! Follow along with MongoDB expert Austin Zellner and be able to explain at a high level the different ways to query the various NoSQL databases in this third topic in the NoSQL Complete course. See how data is retrieved from Document, Tabular, Graph, Key-Value, GeoSpatial, and Text databases. Learn about querying data with MongoDB MQL and all about Compass and the aggregation pipeline. Explore how various types of indexes help with queries, including compound indexes, single field indexes, multi-key indexes, and unique indexes.

Download or read book NoSQL Complete written by Austin Zellner and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recorded live at Data Modeling Zone! Follow along with MongoDB expert Austin Zellner and develop a foundational knowledge of NoSQL, including NoSQL structures, query languages, architectural patterns, scaling, and modeling. We were taught to think of the world as rows and columns, but the reality is that the future belongs to complex shapes and streams of data. How do we approach conceptualizing different models based on use cases rather than optimizing for relational theory? That's what we will explore in this session. Assuming no prior knowledge of NoSQL or MongoDB, we will explore NoSQL and use MongoDB as an example database to build live records and examples. We'll also explore strategies on how to approach new use cases and systematically determine the right patterns to apply. This course covers these seven topics: Introducing NoSQL and Transforming from a Relational to a Document Perspective. Be able to explain the benefits of NoSQL and how to transform from a relational to a document perspective in this first topic in the NoSQL Complete course. Know when relational should be used and when NoSQL should be used. Follow along with Austin and learn how to think in terms of documents (JSON documents). Learn what NoSQL really means, and the difference between objects and relations. Objects are explained with examples and you will see how objects look in code and in MongoDB. Know the NoSQL approach involving data, queries, and access patterns. Learn about ORM (object-relational mapping). Be able to explain the difference between programming languages and frameworks. NoSQL Structures: Document, Tabular, Graph, Key-Value, GeoSpatial, and Text. Understand the NoSQL perspective on conceptual, logical, and physical data models in this second topic in the NoSQL Complete course. For physical structures, become familiar with Document, Tabular, Key-Value, Graph, GeoSpatial, and Text. Be able to explain the concept of schemaless. Learn how document databases store data in JSON and BSON (Binary JSON). Many examples are provided. Learn about MongoDB object ids. Learn more about key-value databases, and get a taste of Amazon Dynamo. GeoJSON is explained as well. NoSQL Query Languages. Be able to explain at a high level the different ways to query the various NoSQL databases in this third topic in the NoSQL Complete course. See how data is retrieved from Document, Tabular, Graph, Key-Value, GeoSpatial, and Text databases. Learn about querying data with Mong...

Download or read book NoSQL Structures written by Austin Zellner and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recorded live at Data Modeling Zone! Follow along with MongoDB expert Austin Zellner and be able to explain the NoSQL perspective on conceptual, logical, and physical data models. For physical structures, become familiar with Document, Tabular, Key-Value, Graph, GeoSpatial, and Text. Know the concept of schemaless. Learn how document databases store data in JSON and BSON (Binary JSON). Many examples are provided. Learn about MongoDB object ids. Learn more about key-value databases, and get a taste of Amazon Dynamo. GeoJSON is explained as well.

Download or read book Data Modeling for MongoDB written by Steve Hoberman and published by Technics Publications. This book was released on 2014-06-01 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: Understand how data modeling contributes to the process of learning about the data, and is, therefore, a required technique, even when the resulting database is not relational. That is, NoSQL does not mean NoDataModeling! Know how NoSQL databases differ from traditional relational databases, and where MongoDB fits. Explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts, and learn the basics of adding, querying, updating, and deleting data in MongoDB. Practice a streamlined, template-driven approach to performing conceptual, logical, and physical data modeling. Recognize that data modeling does not always have to lead to traditional data models! Distinguish top-down from bottom-up development approaches and complete a top-down case study which ties all of the modeling techniques together. This book is written for anyone who is working with, or will be working with MongoDB, including business analysts, data modelers, database administrators, developers, project managers, and data scientists. There are three sections: 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. Nike Senior Data Architect Ryan Smith wrote the foreword. Key points are included at the end of each chapter as a way to reinforce concepts. In addition, this book is loaded with hands-on exercises, along with their answers provided in Appendix A. Appendix B contains all of the book’s references and Appendix C contains a glossary of the terms used throughout the text.

Download or read book Data Modeling in the NoSQL World written by Ted Hills and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This presentation was recorded live at Data Modeling Zone (DMZ) 2016. The venerable entity-relationship (E-R) modeling technique is very mature for SQL databases, but doesn't translate well to many of the NOSQL databases. This interactive workshop will introduce the Concept and Object Modeling Notation (COMN, pronounced "common"), which can represent the new structures that NOSQL DBMSs support, while still supporting traditional SQL DBMSs. It also has more expressive power for modeling the real-world entities that databases are about. Topics to be covered include: modeling notation for containment and multi-valued attributes how to model schema-less databases how to model the problem space and the solution space, and the mapping between them.

Download or read book JSON JavaScript Object Notation Structure and Design Using MongoDB as an Example and Recorded Live at Data Modeling Zone US written by Austin Zellner and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recorded live at Data Modeling Zone! Follow along with MongoDB expert Austin Zellner and learn about the structure of JSON (JavaScript Object Notation), the most popular format for data exchange between applications (move aside XML!). JSON is also the preferred storage method for many NoSQL databases including MongoDB. In this session, not only will you learn about the structure of JSON, you will also learn the various ways of modeling JSON. Learn how JSON is treated in MongoDB, Couchbase, AWS Document DB, Cosmos, Oracle, MySQL, and Postgress. Forward engineer a set of requirements into JSON and reverse engineer a JSON document into a data model. Be prepared to practice as well!

Download or read book Nocode Keynote written by Gary Hoberman and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recorded live at Data Modeling Zone! Steve Hoberman kicks off the 8th annual Data Modeling Zone US conference and then Steve and his brother Gary demonstrate how to build an application using Agile with data modeling and no-code development happening in parallel. During the 20 minute Agile sprint, both brothers help a local animal shelter build a new NoSQL application to manage pets. Then Gary talks more about his startup Unqork and the no code movement.

Download or read book MongoDB Recipes written by Subhashini Chellappan and published by Apress. This book was released on 2019-12-13 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss. MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. You’ll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB. What You Will Learn Work with the MongoDB document model Design MongoDB schemas Use the MongoDB query language Harness the aggregation framework Create replica sets and sharding in MongoDB Who This Book Is ForDevelopers and professionals who work with MongoDB.

Download or read book Mongodb Data Modeling written by Wilson Da Rocha Franca and published by . This book was released on 2015 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for database professionals, software developers, and architects who have some previous experience with MongoDB and now want to shift their focus to the concepts of data modeling. If you wish to develop better schema designs for MongoDB-based applications, this book is ideal for you.

Download or read book Graph Data Modeling for NoSQL and SQL written by Thomas Frisendal and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs. From Karen Lopez's Foreword: In this book, Thomas Frisendal raises important questions about the continued usefulness of traditional data modeling notations and approaches: Are Entity Relationship Diagrams (ERDs) relevant to analytical data requirements? Are ERDs relevant in the new world of Big Data? Are ERDs still the best way to work with business users to understand their needs? Are Logical and Physical Data Models too closely coupled? Are we correct in using the same notations for communicating with business users and developers? Should we refine our existing notations and tools to meet these new needs, or should we start again from a blank page? What new notations and approaches will we need? How will we use those to build enterprise database systems? Frisendal takes us through the history of data modeling, enterprise data models and traditional modeling methods. He points out, quite contentiously, where he feels we have gone wrong and in a few places where we got it right. He then maps out the psychology of meaning and context, while identifying important issues about where data modeling may or may not fit in business modeling. The main subject of this work is a proposal for a new exploration-driven modeling approach and new modeling notations for business concept models, business solutions models, and physical data models with examples on how to leverage those for implementing into any target database or datastore. These new notations are based on a property graph approach to modeling data. From the author's introduction: This book proposes a new approach to data modeling-one that "turns the inside out". For well over thirty years, relational modeling and normalization was the name of the game. One can ask that if normalization was the answer, what was the problem? There is something upside-down in that approach, as we will see in this book. Data analysis (modeling) is much like exploration. Almost literally. The data modeler wanders around searching for structure and content. It requires perception and cognitive skills, supported by intuition (a psychological phenomenon), that together determine how well the landscape of business semantics is mapped. Mapping is what we do; we explore the unknowns, draw the maps and ...

Download or read book Data Modeling With NoSQL Database written by Sultan Ahmad and published by . This book was released on 2021-03-30 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: ● An important step in database implementation is the data modeling, because it facilitates the understanding of the project through key features that can prevent programming and operation errors. ● In database technologies, some of the new issues increasingly debated arenon-conventional applications, including NoSQL (Not only SQL) databases, whichwere initially created in response to the needs for better scalability, lowerlatency and higher flexibility in an era of bigdata and cloud computing. Thesenon-functional aspects are the main reason for using NoSQL database. ● Data modeling has an important role to play in NoSQL environments. The datamodeling process involves the creation of a diagram that represents the meaning of the data and the relationship between the data elements. Thus, understanding is a fundamental aspect of data modeling and a pattern for this kind of representation has few contributions for NoSQL databases. ● This book explains a NoSQL data modeling standard, introducing modeling techniques that can be used on document-oriented databases. We have considered Cassandra and Riak NoSQL databases because of the heterogeneous characteristics of each NoSQL database classification so that to fill the knowledge gap by studying the available non-relational databases in order to develop a systematic approach for solving problems of data persistence using these technologies. Ajit & Sultan.......

Download or read book SQL and NoSQL Databases written by Michael Kaufmann and published by Springer Nature. This book was released on 2023-06-29 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques and examine upcoming innovations. In the first five chapters, the authors analyze in detail the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Moreover, an overview of other SQL- and NoSQL-based database approaches is provided. In addition to classic concepts such as the entity and relationship model and its mapping in SQL database schemas, query languages or transaction management, other aspects for NoSQL databases such as non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication) or the CAP theorem (Consistency, Availability, Partition Tolerance) are explained. This 2nd English edition offers a new in-depth introduction to document databases with a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL as well as security and architecture aspects. The topic of database security is newly introduced as a separate chapter and analyzed in detail with regard to data protection, integrity, and transactions. Texts on data management, database programming, and data warehousing and data lakes have been updated. In addition, the book now explains the concepts of JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines and time series databases. The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. It conveys an in-depth comparison of relational and non-relational approaches and shows how to undertake development for big data applications. This way, it benefits students and practitioners working across the broad field of data science and applied information technology.

Download or read book NoSQL for Mere Mortals written by Dan Sullivan and published by Addison-Wesley Professional. This book was released on 2015-04-06 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Easy, Common-Sense Guide to Solving Real Problems with NoSQL The Mere Mortals® tutorials have earned worldwide praise as the clearest, simplest way to master essential database technologies. Now, there’s one for today’s exciting new NoSQL databases. NoSQL for Mere Mortals guides you through solving real problems with NoSQL and achieving unprecedented scalability, cost efficiency, flexibility, and availability. Drawing on 20+ years of cutting-edge database experience, Dan Sullivan explains the advantages, use cases, and terminology associated with all four main categories of NoSQL databases: key-value, document, column family, and graph databases. For each, he introduces pragmatic best practices for building high-value applications. Through step-by-step examples, you’ll discover how to choose the right database for each task, and use it the right way. Coverage includes --Getting started: What NoSQL databases are, how they differ from relational databases, when to use them, and when not to Data management principles and design criteria: Essential knowledge for creating any database solution, NoSQL or relational --Key-value databases: Gaining more utility from data structures --Document databases: Schemaless databases, normalization and denormalization, mutable documents, indexing, and design patterns --Column family databases: Google’s BigTable design, table design, indexing, partitioning, and Big Data Graph databases: Graph/network modeling, design tips, query methods, and traps to avoid Whether you’re a database developer, data modeler, database user, or student, learning NoSQL can open up immense new opportunities. As thousands of database professionals already know, For Mere Mortals is the fastest, easiest route to mastery.

Download or read book Practical MongoDB written by Shakuntala Gupta Edward and published by Apress. This book was released on 2015-12-16 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The "one-size-fits-all" thinking regarding traditional RDBMSs has been challenged in the last few years by the emergence of diversified NoSQL databases. More than 120 NoSQL databases are now available in the market, and the market leader by far is MongoDB. With so many companies opting for MongoDB as their NoSQL database of choice, there's a need for a practical how-to combined with expert advice for getting the most out of the software. Beginning with a short introduction to the basics of NoSQL databases, MongoDB experts Navin Sabharwal and Shankatala Gupta Edward introduce readers to MongoDB – the leading document based NoSQL database, acquainting them step by step with all aspects of MongoDB. They cover the data model, underlying architecture, how to code using Mongo Shell, and administration of the MongoDB platform, among other topics. The book also provides clear guidelines and practical examples for architecting and developing applications using the MongoDB platform and deploying them. Database developers, architects, and database administrators will find useful information covering all aspects of the MongoDB platform and how to put it to use practically. Practical Guide to MongoDB provides readers with: A solid understanding of NoSQL databases An understanding of how to get started with MongoDB Methodical coverage of the architecture, development, and administration of MongoDB A plethora of "How to’s" enabling you to use the technology most efficiently to solve the problems you face Practical MongoDB is for those just starting to learning to work with NoSQL databases in general and MongoDB in particular. Skills in these areas are in demand, making this book essential reading for those who want to work more productively or break into big data work. It will prove equally useful for entrepreneurs and others who like to work with new technologies.

Download or read book MongoDB The Definitive Guide written by Kristina Chodorow and published by "O'Reilly Media, Inc.". This book was released on 2010-09-17 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does MongoDB help you manage a huMONGOus amount of data collected through your web application? With this authoritative introduction, you'll learn the many advantages of using document-oriented databases, and discover why MongoDB is a reliable, high-performance system that allows for almost infinite horizontal scalability. Written by engineers from 10gen, the company that develops and supports this open source database, MongoDB: The Definitive Guide provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Learn how easy it is to handle data as self-contained JSON-style documents, rather than as records in a relational database. Explore ways that document-oriented storage will work for your project Learn how MongoDB’s schema-free data model handles documents, collections, and multiple databases Execute basic write operations, and create complex queries to find data with any criteria Use indexes, aggregation tools, and other advanced query techniques Learn about monitoring, security and authentication, backup and repair, and more Set up master-slave and automatic failover replication in MongoDB Use sharding to scale MongoDB horizontally, and learn how it impacts applications Get example applications written in Java, PHP, Python, and Ruby