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Steven Hughes

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SQL Query Design Patterns and Best Practices

This book, "SQL Query Design Patterns and Best Practices," provides a thorough and practical exploration of SQL query techniques that focus on efficiency, clarity, and maintainability. By learning and applying the patterns and methodologies outlined in this guide, readers will enhance their ability to solve complex data problems, optimize query performance, and work effectively with modern data platforms. What this Book will help me do Learn how to write efficient SQL queries by optimizing result sets, enabling better handling of large datasets. Master advanced SQL techniques, including the use of common table expressions and window functions for solving real-world challenges. Gain insights into query optimization with tools like query execution plans and indexes to boost database performance. Understand the interaction of modern data types such as JSON and their integration in SQL workflows. Organize and document SQL queries effectively using tools such as Jupyter notebooks for collaborative and reproducible work. Author(s) The authors of this book are seasoned SQL professionals with rich experience in database management and optimization. Steven Hughes, Ram Babu Singh, Shabbir Mala, and others bring their deep knowledge in SQL query practices and real-world problem-solving to this guide. With a commitment to helping readers harness the power of SQL, the authors have crafted content that is both technically robust and approachable for learners. Who is it for? This book is designed for SQL practitioners ranging from beginners to intermediate levels, including SQL developers, data analysts, and database enthusiasts. If you aim to refine your SQL skills, optimize query designs, and tackle complex data challenges, this book will serve as your reliable companion. Novice readers will quickly build a strong foundation, while experienced professionals will find valuable techniques to enhance their workflow.

Hands-On SQL Server 2019 Analysis Services

"Hands-On SQL Server 2019 Analysis Services" is a comprehensive guide to mastering data analysis using SQL Server Analysis Services (SSAS). This book provides you with step-by-step directions on creating and deploying tabular and multi-dimensional models, as well as using tools like MDX and DAX to query and analyze data. By the end, you'll be confident in designing effective data models for business analytics. What this Book will help me do Understand how to create and optimize both tabular and multi-dimensional models with SQL Server Analysis Services. Learn to use MDX and DAX to query and manipulate your data for enhanced insights. Integrate SSAS models with visualization tools like Excel and Power BI for effective decision-making. Implement robust security measures to safeguard data within your SSAS deployments. Master scaling and optimizing best practices to ensure high-performance analytical models. Author(s) Steven Hughes is a data analytics expert with extensive experience in business intelligence and SQL Server technologies. With years of practical experience in using SSAS and teaching data professionals, Steven has a knack for breaking down complex concepts into actionable knowledge. His approach to writing involves combining clear explanations with real-world examples. Who is it for? This book is intended for BI professionals, data analysts, and database developers who want to gain hands-on expertise with SQL Server 2019 Analysis Services. Ideal readers should have familiarity with database querying and a basic understanding of business intelligence tools like Power BI and Excel. It's perfect for those aiming to refine their skills in modeling and deploying robust analytics solutions.