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Author: Steve Hughes
Publisher: Packt Publishing Ltd
ISBN: 1837630089
Category : Computers
Languages : en
Pages : 270
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Book Description
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.
Author: Steve Hughes
Publisher: Packt Publishing Ltd
ISBN: 1837630089
Category : Computers
Languages : en
Pages : 270
Get Book Here
Book Description
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.
Author: Vadim Tropashko
Publisher:
ISBN: 9780977671540
Category : SQL (Computer program language)
Languages : en
Pages : 0
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Book Description
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.
Author: Steve Hughes
Publisher: Packt Publishing
ISBN: 9781837633289
Category : Computers
Languages : en
Pages : 0
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Book Description
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.
Author: Carlos Santana Roldan
Publisher: Packt Publishing Ltd
ISBN: 180324660X
Category : Computers
Languages : en
Pages : 525
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Book Description
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.
Author: Alexey Soshin
Publisher: Packt Publishing Ltd
ISBN: 180512160X
Category : Computers
Languages : en
Pages : 475
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Book Description
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
Author: Raghav Kandarpa
Publisher: Packt Publishing Ltd
ISBN: 1837634300
Category : Computers
Languages : en
Pages : 351
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Book Description
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.
Author: Carlos Santana Roldán
Publisher: Packt Publishing Ltd
ISBN: 1800561768
Category : Computers
Languages : en
Pages : 381
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Book Description
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.
Author: Rhuan Rocha
Publisher: Packt Publishing Ltd
ISBN: 1788837738
Category : Computers
Languages : en
Pages : 304
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Book Description
Get the deep insights you need to master efficient architectural design considerations and solve common design problems in your enterprise applications. Key Features The benefits and applicability of using different design patterns in JAVA EE Learn best practices to solve common design and architectural challenges Choose the right patterns to improve the efficiency of your programs Book Description Patterns are essential design tools for Java developers. Java EE Design Patterns and Best Practices helps developers attain better code quality and progress to higher levels of architectural creativity by examining the purpose of each available pattern and demonstrating its implementation with various code examples. This book will take you through a number of patterns and their Java EE-specific implementations. In the beginning, you will learn the foundation for, and importance of, design patterns in Java EE, and then will move on to implement various patterns on the presentation tier, business tier, and integration tier. Further, you will explore the patterns involved in Aspect-Oriented Programming (AOP) and take a closer look at reactive patterns. Moving on, you will be introduced to modern architectural patterns involved in composing microservices and cloud-native applications. You will get acquainted with security patterns and operational patterns involved in scaling and monitoring, along with some patterns involved in deployment. By the end of the book, you will be able to efficiently address common problems faced when developing applications and will be comfortable working on scalable and maintainable projects of any size. What you will learn Implement presentation layers, such as the front controller pattern Understand the business tier and implement the business delegate pattern Master the implementation of AOP Get involved with asynchronous EJB methods and REST services Involve key patterns in the adoption of microservices architecture Manage performance and scalability for enterprise-level applications Who this book is for Java developers who are comfortable with programming in Java and now want to learn how to implement design patterns to create robust, reusable and easily maintainable apps.
Author: Louis Davidson
Publisher: Apress
ISBN: 1484264975
Category : Computers
Languages : en
Pages : 1170
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Book Description
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.
Author: Kedeisha Bryan
Publisher: Packt Publishing Ltd
ISBN: 1837631077
Category : Computers
Languages : en
Pages : 196
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Book Description
Get to grips with the fundamental concepts of data engineering, and solve mock interview questions while building a strong resume and a personal brand to attract the right employers Key Features Develop your own brand, projects, and portfolio with expert help to stand out in the interview round Get a quick refresher on core data engineering topics, such as Python, SQL, ETL, and data modeling Practice with 50 mock questions on SQL, Python, and more to ace the behavioral and technical rounds Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPreparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey. The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions. By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.What you will learn Create maintainable and scalable code for unit testing Understand the fundamental concepts of core data engineering tasks Prepare with over 100 behavioral and technical interview questions Discover data engineer archetypes and how they can help you prepare for the interview Apply the essential concepts of Python and SQL in data engineering Build your personal brand to noticeably stand out as a candidate Who this book is for If you’re an aspiring data engineer looking for guidance on how to land, prepare for, and excel in data engineering interviews, this book is for you. Familiarity with the fundamentals of data engineering, such as data modeling, cloud warehouses, programming (python and SQL), building data pipelines, scheduling your workflows (Airflow), and APIs, is a prerequisite.
