A Developer's Guide to Data Modeling for SQL Server

A Developer's Guide to Data Modeling for SQL Server
Author: Eric Johnson
Publisher: Addison-Wesley Professional
Total Pages: 442
Release: 2008-06-24
Genre: Computers
ISBN: 0132701537

Download A Developer's Guide to Data Modeling for SQL Server Book in PDF, Epub and Kindle

“ A Developer’s Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. “Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.” — Peter Varhol, Executive Editor, Redmond Magazine Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn’t enough: models that don’t reflect SQL Server’s unique real-world strengths and weaknesses often lead to disastrous performance. A Developer’s Guide to Data Modeling for SQL Server is a practical, SQL Server-specific guide to data modeling for every developer, architect, and administrator. This book offers you invaluable start-to-finish guidance for designing new databases, redesigning existing SQL Server data models, and migrating databases from other platforms. You’ll begin with a concise, practical overview of the core data modeling techniques. Next, you’ll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, you’ll systematically transform those logical models into physical models that make the most of SQL Server’s extended functionality. All of this book’s many examples are available for download from a companion Web site. This book enables you to Understand your data model’s physical elements, from storage to referential integrity Provide programmability via stored procedures, user-defined functions, triggers, and .NET CLR integration Normalize data models, one step at a time Gather and interpret requirements more effectively Learn an effective methodology for creating logical models Overcome modeling problems related to entities, attribute, data types, storage overhead, performance, and relationships Create physical models—from establishing naming guidelines through implementing business rules and constraints Use SQL Server’s unique indexing capabilities, and overcome their limitations Create abstraction layers that enhance security, extensibility, and flexibility

Developer's Guide to Data Modeling for SQL Server, A.

Developer's Guide to Data Modeling for SQL Server, A.
Author: Johnson
Publisher:
Total Pages: 303
Release: 1900
Genre:
ISBN:

Download Developer's Guide to Data Modeling for SQL Server, A. Book in PDF, Epub and Kindle

This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you're modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn't enough: models that don't reflect SQL Server's unique real-world strengths and weaknesses ofte.

MySQL Workbench: Data Modeling & Development

MySQL Workbench: Data Modeling & Development
Author: Michael McLaughlin
Publisher: McGraw Hill Professional
Total Pages: 482
Release: 2013-04-30
Genre: Computers
ISBN: 0071791884

Download MySQL Workbench: Data Modeling & Development Book in PDF, Epub and Kindle

MySQL Workbench Data Modeling and Development helps developers learn how to effectively use this powerful product for database modeling, reverse engineering, and interaction with the database without writing SQL statements. MySQL Workbench is a graphical user interface that developers can use to create and maintain MySQL databases without coding. The book covers the interface and explains how to accomplish each step by illustrating best practices visually

Data Science with SQL Server Quick Start Guide

Data Science with SQL Server Quick Start Guide
Author: Dejan Sarka
Publisher: Packt Publishing Ltd
Total Pages: 196
Release: 2018-08-31
Genre: Computers
ISBN: 1789537134

Download Data Science with SQL Server Quick Start Guide Book in PDF, Epub and Kindle

Get unique insights from your data by combining the power of SQL Server, R and Python Key Features Use the features of SQL Server 2017 to implement the data science project life cycle Leverage the power of R and Python to design and develop efficient data models find unique insights from your data with powerful techniques for data preprocessing and analysis Book Description SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you. This book is the ideal introduction to data science with Microsoft SQL Server and In-Database ML Services. It covers all stages of a data science project, from businessand data understanding,through data overview, data preparation, modeling and using algorithms, model evaluation, and deployment. You will learn to use the engines and languages that come with SQL Server, including ML Services with R and Python languages and Transact-SQL. You will also learn how to choose which algorithm to use for which task, and learn the working of each algorithm. What you will learn Use the popular programming languages,T-SQL, R, and Python, for data science Understand your data with queries and introductory statistics Create and enhance the datasets for ML Visualize and analyze data using basic and advanced graphs Explore ML using unsupervised and supervised models Deploy models in SQL Server and perform predictions Who this book is for SQL Server professionals who want to start with data science, and data scientists who would like to start using SQL Server in their projects will find this book to be useful. Prior exposure to SQL Server will be helpful.

SQL Server 2017 Developer’s Guide

SQL Server 2017 Developer’s Guide
Author: William Durkin
Publisher: Packt Publishing Ltd
Total Pages: 809
Release: 2018-03-16
Genre: Computers
ISBN: 1788479939

Download SQL Server 2017 Developer’s Guide Book in PDF, Epub and Kindle

Build smarter and efficient database application systems for your organization with SQL Server 2017 Key Features Build database applications by using the development features of SQL Server 2017 Work with temporal tables to get information stored in a table at any time Use adaptive querying to enhance the performance of your queries Book Description Microsoft SQL Server 2017 is the next big step in the data platform history of Microsoft as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. Compared to its predecessor, SQL Server 2017 has evolved into Machine Learning with R services for statistical analysis and Python packages for analytical processing. This book prepares you for more advanced topics by starting with a quick introduction to SQL Server 2017’s new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to enhancements in the Transact-SQL language and new database engine capabilities and then switches to a completely new technology inside SQL Server: JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables. Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Towards the end of the book, you’ll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You’ll also learn to integrate Python code in SQL Server and graph database implementations along with deployment options on Linux and SQL Server in containers for development and testing. By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle. What you will learn Explore the new development features introduced in SQL Server 2017 Identify opportunities for In-Memory OLTP technology Use columnstore indexes to get storage and performance improvements Exchange JSON data between applications and SQL Server Use the new security features to encrypt or mask the data Control the access to the data on the row levels Discover the potential of R and Python integration Model complex relationships with the graph databases in SQL Server 2017 Who this book is for Database developers and solution architects looking to design efficient database applications using SQL Server 2017 will find this book very useful. In addition, this book will be valuable to advanced analysis practitioners and business intelligence developers. Database consultants dealing with performance tuning will get a lot of useful information from this book as well. Some basic understanding of database concepts and T-SQL is required to get the best out of this book.

Data Modeling for Azure Data Services

Data Modeling for Azure Data Services
Author: Peter ter Braake
Publisher: Packt Publishing Ltd
Total Pages: 428
Release: 2021-07-30
Genre: Computers
ISBN: 1801076707

Download Data Modeling for Azure Data Services Book in PDF, Epub and Kindle

Choose the right Azure data service and correct model design for successful implementation of your data model with the help of this hands-on guide Key FeaturesDesign a cost-effective, performant, and scalable database in AzureChoose and implement the most suitable design for a databaseDiscover how your database can scale with growing data volumes, concurrent users, and query complexityBook Description Data is at the heart of all applications and forms the foundation of modern data-driven businesses. With the multitude of data-related use cases and the availability of different data services, choosing the right service and implementing the right design becomes paramount to successful implementation. Data Modeling for Azure Data Services starts with an introduction to databases, entity analysis, and normalizing data. The book then shows you how to design a NoSQL database for optimal performance and scalability and covers how to provision and implement Azure SQL DB, Azure Cosmos DB, and Azure Synapse SQL Pool. As you progress through the chapters, you'll learn about data analytics, Azure Data Lake, and Azure SQL Data Warehouse and explore dimensional modeling, data vault modeling, along with designing and implementing a Data Lake using Azure Storage. You'll also learn how to implement ETL with Azure Data Factory. By the end of this book, you'll have a solid understanding of which Azure data services are the best fit for your model and how to implement the best design for your solution. What you will learnModel relational database using normalization, dimensional, or Data Vault modelingProvision and implement Azure SQL DB and Azure Synapse SQL PoolsDiscover how to model a Data Lake and implement it using Azure StorageModel a NoSQL database and provision and implement an Azure Cosmos DBUse Azure Data Factory to implement ETL/ELT processesCreate a star schema model using dimensional modelingWho this book is for This book is for business intelligence developers and consultants who work on (modern) cloud data warehousing and design and implement databases. Beginner-level knowledge of cloud data management is expected.

Pro SQL Server Relational Database Design and Implementation

Pro SQL Server Relational Database Design and Implementation
Author: Louis Davidson
Publisher: Apress
Total Pages: 1170
Release: 2020-12-14
Genre: Computers
ISBN: 1484264975

Download Pro SQL Server Relational Database Design and Implementation Book in PDF, Epub and Kindle

Learn effective and scalable database design techniques in SQL Server 2019 and other recent SQL Server versions. This book is revised to cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level security, and other design-related features. This book will help you design OLTP databases that are high-quality, protect the integrity of your data, and perform fast on-premises, in the cloud, or in hybrid configurations. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for well over 30 years, using technology that is constantly changing. This book covers everything from design logic that business users will understand to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, author Louis Davidson shows you how to "get it right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data. What You Will LearnDevelop conceptual models of client data using interviews and client documentationImplement designs that work on premises, in the cloud, or in a hybrid approachRecognize and apply common database design patternsNormalize data models to enhance integrity and scalability of your databases for the long-term use of valuable dataTranslate conceptual models into high-performing SQL Server databasesSecure and protect data integrity as part of meeting regulatory requirementsCreate effective indexing to speed query performanceUnderstand the concepts of concurrency Who This Book Is For Programmers and database administrators of all types who want to use SQL Server to store transactional data. The book is especially useful to those wanting to learn the latest database design features in SQL Server 2019 (features that include graph objects, in-memory OLTP, temporal data support, and more). Chapters on fundamental concepts, the language of database modeling, SQL implementation, and the normalization process lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2019.

Pro SQL Server Relational Database Design and Implementation

Pro SQL Server Relational Database Design and Implementation
Author: Louis Davidson
Publisher: Apress
Total Pages: 812
Release: 2016-12-29
Genre: Computers
ISBN: 1484219732

Download Pro SQL Server Relational Database Design and Implementation Book in PDF, Epub and Kindle

Learn effective and scalable database design techniques in a SQL Server 2016 and higher environment. This book is revised to cover in-memory online transaction processing, temporal data storage, row-level security, durability enhancements, and other design-related features that are new or changed in SQL Server 2016. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for forty years coupled with technology that is constantly changing. Pro SQL Server Relational Database Design and Implementation covers everything from design logic that business users will understand, all the way to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, Louis Davidson shows how to "get it right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data. The pace of change in relational database management systems has been tremendous these past few years. Whereas in the past it was enough to think about optimizing data residing on spinning hard drives, today one also must consider solid-state storage as well as data that are constantly held in memory and never written to disk at all except as a backup. Furthermore, there is a trend toward hybrid cloud and on-premise database configurations as well a move toward preconfigured appliances. Pro SQL Server Relational Database Design and Implementation guides in the understanding of these massive changes and in their application toward sound database design. Gives a solid foundation in best practices and relational theory Covers the latest implementation features in SQL Server 2016 Helps you master in-memory OLTP and use it effectively Takes you from conceptual design to an effective, physical implementation What You Will Learn Develop conceptual models of client data using interviews and client documentation Recognize and apply common database design patterns Normalize data models to enhance scalability and the long term use of valuable data Translate conceptual models into high–performing SQL Server databases Secure and protect data integrity as part of meeting regulatory requirements Create effective indexing to speed query performance Who This Book Is For Programmers and database administrators of all types who want to use SQL Server to store data. The book is especially useful to those wanting to learn the very latest design features in SQL Server 2016, features that include an improved approach to in-memory OLTP, durability enhancements, temporal data support, and more. Chapters on fundamental concepts, the language of database modeling, SQL implementation, and of course, the normalization process, lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the very latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2016.

SQL Server Developer's Guide

SQL Server Developer's Guide
Author: Joseph J. Bambara
Publisher: Wiley
Total Pages: 0
Release: 2000-04-03
Genre: Computers
ISBN: 9780764546723

Download SQL Server Developer's Guide Book in PDF, Epub and Kindle

SQL Server Developer's Guide The Latest Tools and Best Techniques for Fast Results Packed with enterprise-tested strategies and solutions, this unique guide gives you a comprehensive catalog of best practices for SQL Server development. Drawing on a combined 25 years of database experience, two veteran developers lead you through the entire lifecycle of a database system, from preliminary modeling to operational rollout. Along the way, they show you how to utilize C and Java as well as the Microsoft Visual Studio languages -- and capitalize on the enhanced functionality of SQL Server. Whether you need to jumpstart a new e-commerce project or fine-tune an existing data warehousing system, this incisive guide is an invaluable reference. Your Complete How-to Guide Model your application using CASE Tools "Lite" or Erwin Design Web, client/server, or object-oriented systems Utilize SQL administration tools and utilities, from Dtswiz to Sqlmaint Design effective interfaces using styles, libraries, scripts, and help systems Master the nuts-and-bolts of data definition, from table syntax to locking Build efficient C and Java programs with SQL Fine-tune performance using tips on partitioning, procedures, and triggers Get SQL standards, guidelines, and maxims, as well as advice on third-party tools www.idgbooks.com

Building a Data Warehouse

Building a Data Warehouse
Author: Vincent Rainardi
Publisher: Apress
Total Pages: 526
Release: 2008-03-11
Genre: Computers
ISBN: 1430205288

Download Building a Data Warehouse Book in PDF, Epub and Kindle

Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation.