Enhance your SQL query writing skills to provide greater business value using advanced techniques such as common table expressions, window functions, and JSON Purchase of the print or Kindle book includes a free PDF eBook Key Features Examine query design and performance using query plans and indexes Solve business problems using advanced techniques such as common table expressions and window functions Use SQL in modern data platform solutions with JSON and Jupyter notebooks Book Description SQL has been the de facto standard when interacting with databases for decades and shows no signs of going away. Through the years, report developers or data wranglers have had to learn SQL on the fly to meet the business needs, so if you are someone who needs to write queries, SQL Query Design and Pattern Best Practices is for you. This book will guide you through making efficient SQL queries by reducing set sizes for effective results. You'll learn how to format your results to make them easier to consume at their destination. From there, the book will take you through solving complex business problems using more advanced techniques, such as common table expressions and window functions, and advance to uncovering issues resulting from security in the underlying dataset. Armed with this knowledge, you'll have a foundation for building queries and be ready to shift focus to using tools, such as query plans and indexes, to optimize those queries. The book will go over the modern data estate, which includes data lakes and JSON data, and wrap up with a brief on how to use Jupyter notebooks in your SQL journey. By the end of this SQL book, you'll be able to make efficient SQL queries that will improve your report writing and the overall SQL experience. What you will learn Build efficient queries by reducing the data being returned Manipulate your data and format it for easier consumption Form common table expressions and window functions to solve complex business issues Understand the impact of SQL security on your results Understand and use query plans to optimize your queries Understand the impact of indexes on your query performance and design Work with data lake data and JSON in SQL queries Organize your queries using Jupyter notebooks Who this book is for This book is for SQL developers, data analysts, report writers, data scientists, and other data gatherers looking to expand their skills for complex querying as well as for building more efficient and performant queries. For those new to SQL, this book can help you accelerate your learning and keep you from making common mistakes.
This indispensable SQL reference book is the first of its kind to leverage the benefits of design patterns to relational database SQL queries; all common SQL structures and design patterns are clearly categorized and described. Emphasizing the theoretical foundation for almost every type of SQL query problem, accompanying figures are included to help visualize the problem. Because SQL is a declarative language there are many ways to write any SQL query and professional database programmers must understand the correct way to write SQL for complicated database queries, and managers must institute formal SQL coding standards to improve productivity and maintainability. The SQL design patterns in this resource greatly improve the quality and productivity of systems development projects by forming a "best practices" foundation for all relational database queries.
Enhance your SQL query writing skills to provide greater business value using advanced techniques such as common table expressions, window functions, and JSON Purchase of the print or Kindle book includes a free PDF eBook Key Features: Examine query design and performance using query plans and indexes Solve business problems using advanced techniques such as common table expressions and window functions Use SQL in modern data platform solutions with JSON and Jupyter notebooks Book Description: SQL has been the de facto standard when interacting with databases for decades and shows no signs of going away. Through the years, report developers or data wranglers have had to learn SQL on the fly to meet the business needs, so if you are someone who needs to write queries, SQL Query Design and Pattern Best Practices is for you. This book will guide you through making efficient SQL queries by reducing set sizes for effective results. You'll learn how to format your results to make them easier to consume at their destination. From there, the book will take you through solving complex business problems using more advanced techniques, such as common table expressions and window functions, and advance to uncovering issues resulting from security in the underlying dataset. Armed with this knowledge, you'll have a foundation for building queries and be ready to shift focus to using tools, such as query plans and indexes, to optimize those queries. The book will go over the modern data estate, which includes data lakes and JSON data, and wrap up with a brief on how to use Jupyter notebooks in your SQL journey. By the end of this SQL book, you'll be able to make efficient SQL queries that will improve your report writing and the overall SQL experience. What You Will Learn: Build efficient queries by reducing the data being returned Manipulate your data and format it for easier consumption Form common table expressions and window functions to solve complex business issues Understand the impact of SQL security on your results Understand and use query plans to optimize your queries Understand the impact of indexes on your query performance and design Work with data lake data and JSON in SQL queries Organize your queries using Jupyter notebooks Who this book is for: This book is for SQL developers, data analysts, report writers, data scientists, and other data gatherers looking to expand their skills for complex querying as well as for building more efficient and performant queries. For those new to SQL, this book can help you accelerate your learning and keep you from making common mistakes.
"This book takes the somewhat daunting process of database design and breaks it into completely manageable and understandable components. Mike's approach whilst simple is completely professional, and I can recommend this book to any novice database designer." --Sandra Barker, Lecturer, University of South Australia, Australia "Databases are a critical infrastructure technology for information systems and today's business. Mike Hernandez has written a literate explanation of database technology--a topic that is intricate and often obscure. If you design databases yourself, this book will educate you about pitfalls and show you what to do. If you purchase products that use a database, the book explains the technology so that you can understand what the vendor is doing and assess their products better." --Michael Blaha, consultant and trainer, author of A Manager's Guide to Database Technology "If you told me that Mike Hernandez could improve on the first edition of Database Design for Mere Mortals I wouldn't have believed you, but he did! The second edition is packed with more real-world examples, detailed explanations, and even includes database-design tools on the CD-ROM! This is a must-read for anyone who is even remotely interested in relational database design, from the individual who is called upon occasionally to create a useful tool at work, to the seasoned professional who wants to brush up on the fundamentals. Simply put, if you want to do it right, read this book!" --Matt Greer, Process Control Development, The Dow Chemical Company "Mike's approach to database design is totally common-sense based, yet he's adhered to all the rules of good relational database design. I use Mike's books in my starter database-design class, and I recommend his books to anyone who's interested in learning how to design databases or how to write SQL queries." --Michelle Poolet, President, MVDS, Inc. "Slapping together sophisticated applications with poorly designed data will hurt you just as much now as when Mike wrote his first edition, perhaps even more. Whether you're just getting started developing with data or are a seasoned pro; whether you've read Mike's previous book or this is your first; whether you're happier letting someone else design your data or you love doing it yourself--this is the book for you. Mike's ability to explain these concepts in a way that's not only clear, but fun, continues to amaze me." --From the Foreword by Ken Getz, MCW Technologies, coauthor ASP.NET Developer's JumpStart "The first edition of Mike Hernandez's book Database Design for Mere Mortals was one of the few books that survived the cut when I moved my office to smaller quarters. The second edition expands and improves on the original in so many ways. It is not only a good, clear read, but contains a remarkable quantity of clear, concise thinking on a very complex subject. It's a must for anyone interested in the subject of database design." --Malcolm C. Rubel, Performance Dynamics Associates "Mike's excellent guide to relational database design deserves a second edition. His book is an essential tool for fledgling Microsoft Access and other desktop database developers, as well as for client/server pros. I recommend it highly to all my readers." --Roger Jennings, author of Special Edition Using Access 2002 "There are no silver bullets! Database technology has advanced dramatically, the newest crop of database servers perform operations faster than anyone could have imagined six years ago, but none of these technological advances will help fix a bad database design, or capture data that you forgot to include! Database Design for Mere Mortals(TM), Second Edition, helps you design your database right in the first place!" --Matt Nunn, Product Manager, SQL Server, Microsoft Corporation "When my brother started his professional career as a developer, I gave him Mike's book to help him understand database concepts and make real-world application of database technology. When I need a refresher on the finer points of database design, this is the book I pick up. I do not think that there is a better testimony to the value of a book than that it gets used. For this reason I have wholeheartedly recommended to my peers and students that they utilize this book in their day-to-day development tasks." --Chris Kunicki, Senior Consultant, OfficeZealot.com "Mike has always had an incredible knack for taking the most complex topics, breaking them down, and explaining them so that anyone can 'get it.' He has honed and polished his first very, very good edition and made it even better. If you're just starting out building database applications, this book is a must-read cover to cover. Expert designers will find Mike's approach fresh and enlightening and a source of great material for training others." --John Viescas, President, Viescas Consulting, Inc., author of Running Microsoft Access 2000 and coauthor of SQL Queries for Mere Mortals "Whether you need to learn about relational database design in general, design a relational database, understand relational database terminology, or learn best practices for implementing a relational database, Database Design for Mere Mortals(TM), Second Edition, is an indispensable book that you'll refer to often. With his many years of real-world experience designing relational databases, Michael shows you how to analyze and improve existing databases, implement keys, define table relationships and business rules, and create data views, resulting in data integrity, uniform access to data, and reduced data-entry errors." --Paul Cornell, Site Editor, MSDN Office Developer Center Sound database design can save hours of development time and ensure functionality and reliability. Database Design for Mere Mortals(TM), Second Edition, is a straightforward, platform-independent tutorial on the basic principles of relational database design. It provides a commonsense design methodology for developing databases that work. Database design expert Michael J. Hernandez has expanded his best-selling first edition, maintaining its hands-on approach and accessibility while updating its coverage and including even more examples and illustrations. This edition features a CD-ROM that includes diagrams of sample databases, as well as design guidelines, documentation forms, and examples of the database design process. This book will give you the knowledge and tools you need to create efficient and effective relational databases.
Dive in and discover how to build awesome React web apps that you can scale and maintain using design patterns and the latest industry insights Purchase of the print or Kindle book includes a free PDF eBook Key Features Discover and unpack the latest React 18 and Node 19 features in this updated fourth edition Get up to speed with TypeScript, MonoRepo architecture, and several cutting-edge React tools Learn from plenty of real-world examples and an improved chapter flow Book Description React helps you work smarter, not harder — but to reap the benefits of this popular JavaScript library and its components, you need a straightforward guide that will teach you how to make the most of it. React 18 Design Patterns and Best Practices will help you use React effectively to make your applications more flexible, easier to maintain, and improve their performance, while giving your workflow a huge boost. With a better organization of topics and knowledge about best practices added to your developer toolbox, the updated fourth edition ensures an enhanced learning experience. The book is split into three parts; the first will teach you the fundamentals of React patterns, the second will dive into how React works, and the third will focus on real-world applications. All the code samples are updated to the latest version of React and you'll also find plenty of new additions that explore React 18 and Node 19's newest features, alongside MonoRepo Architecture and a dedicated chapter on TypeScript. By the end of this book, you'll be able to efficiently build and deploy real-world React web applications. What you will learn Get familiar with the new React 18 and Node 19 features Explore TypeScript's basic and advanced capabilities Make components communicate with each other by applying various patterns and techniques Dive into MonoRepo architecture Use server-side rendering to make applications load faster Write a comprehensive set of tests to create robust and maintainable code Build high-performing applications by styling and optimizing React components Who this book is for This book is for web developers who want to master React by learning key design patterns and best practices in real-world application development. You'll need an intermediate-level experience with React and JavaScript before you get started.
Dive deep into Kotlin design patterns, explore idiomatic functional programming, and master microservices with frameworks like Arrow, Ktor, and Vert.x. Key Features Start from basic Kotlin syntax and go all the way to advanced topics like Coroutines and structural concurrency Learn how to select and implement the right design pattern for your next Kotlin project Get to grips with concurrent and reactive microservices with Ktor and Vert.x Book DescriptionFor developers who are working with design patterns in Kotlin, this practical guide offers an opportunity to put their knowledge into practice. The book covers classical and modern design patterns, and provides a hands-on approach to implementation, along with associated methodologies. The third edition stays current with Kotlin updates, spanning from version 1.6 onwards, and offers in-depth insights into topics like structured concurrency and context receivers. The book starts by introducing essential Kotlin syntax and the significance of design patterns, covering classic Creational, Structural, and Behavioral patterns. It then progresses to explore functional programming, Reactive, and Concurrent patterns, including detailed discussions on coroutines and structured concurrency. As you navigate through these advanced concepts, you'll enhance your Kotlin coding skills. The book also delves into the latest architectural trends, focusing on microservices design patterns and aiding your decision-making process when choosing between architectures. By the end of the book, you will have a solid grasp of these advanced concepts and be able to apply them in your own projects.What you will learn Utilize functional programming and coroutines with the Arrow framework Use classical design patterns in the Kotlin programming language Scale your applications with reactive and concurrent design patterns Discover best practices in Kotlin and explore its new features Apply the key principles of functional programming to Kotlin Find out how to write idiomatic Kotlin code and learn which patterns to avoid Harness the power of Kotlin to design concurrent and reliable systems with ease Create an effective microservice with Kotlin and the Ktor framework Who this book is for This book is for developers who want to apply design patterns they've learned from other languages in Kotlin and build reliable, scalable, and maintainable applications. You'll need a good grasp on at least one programming language before you get started with this book. Familiarity with classical design patterns from your language of choice would be helpful, but you'll still be able to follow along if you code in other languages
Are you looking for a deeper understanding of the JavaTM programming language so that you can write code that is clearer, more correct, more robust, and more reusable? Look no further! Effective JavaTM, Second Edition, brings together seventy-eight indispensable programmer’s rules of thumb: working, best-practice solutions for the programming challenges you encounter every day. This highly anticipated new edition of the classic, Jolt Award-winning work has been thoroughly updated to cover Java SE 5 and Java SE 6 features introduced since the first edition. Bloch explores new design patterns and language idioms, showing you how to make the most of features ranging from generics to enums, annotations to autoboxing. Each chapter in the book consists of several “items” presented in the form of a short, standalone essay that provides specific advice, insight into Java platform subtleties, and outstanding code examples. The comprehensive descriptions and explanations for each item illuminate what to do, what not to do, and why. Highlights include: New coverage of generics, enums, annotations, autoboxing, the for-each loop, varargs, concurrency utilities, and much more Updated techniques and best practices on classic topics, including objects, classes, libraries, methods, and serialization How to avoid the traps and pitfalls of commonly misunderstood subtleties of the language Focus on the language and its most fundamental libraries: java.lang, java.util, and, to a lesser extent, java.util.concurrent and java.io Simply put, Effective JavaTM, Second Edition, presents the most practical, authoritative guidelines available for writing efficient, well-designed programs.
Become a data wrangling expert and make well-informed decisions by effectively utilizing and analyzing raw unstructured data in a systematic manner Purchase of the print or Kindle book includes a free PDF eBook Key Features Implement query optimization during data wrangling using the SQL language with practical use cases Master data cleaning, handle the date function and null value, and write subqueries and window functions Practice self-assessment questions for SQL-based interviews and real-world case study rounds Book DescriptionThe amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly and efficiently. Although data wrangling can be challenging, with the right tools and techniques you can efficiently handle enormous amounts of unstructured data. The book starts by introducing you to the basics of SQL, focusing on the core principles and techniques of data wrangling. You’ll then explore advanced SQL concepts like aggregate functions, window functions, CTEs, and subqueries that are very popular in the business world. The next set of chapters will walk you through different functions within SQL query that cause delays in data transformation and help you figure out the difference between a good query and bad one. You’ll also learn how data wrangling and data science go hand in hand. The book is filled with datasets and practical examples to help you understand the concepts thoroughly, along with best practices to guide you at every stage of data wrangling. By the end of this book, you’ll be equipped with essential techniques and best practices for data wrangling, and will predominantly learn how to use clean and standardized data models to make informed decisions, helping businesses avoid costly mistakes.What you will learn Build time series models using data wrangling Discover data wrangling best practices as well as tips and tricks Find out how to use subqueries, window functions, CTEs, and aggregate functions Handle missing data, data types, date formats, and redundant data Build clean and efficient data models using data wrangling techniques Remove outliers and calculate standard deviation to gauge the skewness of data Who this book is forThis book is for data analysts looking for effective hands-on methods to manage and analyze large volumes of data using SQL. The book will also benefit data scientists, product managers, and basically any role wherein you are expected to gather data insights and develop business strategies using SQL as a language. If you are new to or have basic knowledge of SQL and databases and an understanding of data cleaning practices, this book will give you further insights into how you can apply SQL concepts to build clean, standardized data models for accurate analysis.
Build scalable, maintainable, and powerful React web apps with design patterns and insightful best practices Key Features Make the most of design patterns in React – including render props and controlled and uncontrolled inputs Master React Hooks with the help of this updated third edition Work through examples that can be used to create reusable code and extensible designs Book DescriptionFilled with useful React patterns that you can use in your projects straight away, this book will help you save time and build better web applications with ease. React 17 Design Patterns and Best Practices is a hands-on guide for those who want to take their coding skills to a new level. You’ll spend most of your time working your way through the principles of writing maintainable and clean code, but you’ll also gain a deeper insight into the inner workings of React. As you progress through the chapters, you’ll learn how to build components that are reusable across the application, how to structure applications, and create forms that actually work. Then you’ll build on your knowledge by exploring how to style React components and optimize them to make applications faster and more responsive. Once you’ve mastered the rest, you’ll learn how to write tests effectively and how to contribute to React and its ecosystem. By the end of this book, you'll be able to avoid the process of trial and error and developmental headaches. Instead, you’ll be able to use your new skills to efficiently build and deploy real-world React web applications you can be proud of.What you will learn Get to grips with the techniques of styling and optimizing React components Create components using the new React Hooks Use server-side rendering to make applications load faster Get up to speed with the new React Suspense technique and using GraphQL in your projects Write a comprehensive set of tests to create robust and maintainable code Build high-performing applications by optimizing components Who this book is for This book is for web developers who want to understand React better and apply it to real-life app development. You’ll need an intermediate-level experience with React and JavaScript before you get started.
With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems
