Modern Sql For Business Intelligence


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MODERN SQL FOR BUSINESS INTELLIGENCE


MODERN SQL FOR BUSINESS INTELLIGENCE

Author: MAXIM BROOKS

language: en

Publisher: Oladosun Mopelola Opeyemi

Release Date:


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Are your Power BI dashboards frustratingly slow? Do you find yourself fighting with complex data transformations in Power Query instead of delivering the insights your business needs? Or perhaps you're a SQL expert who's been asked to build visual reports and you're not sure where to begin? You're not alone. Many BI analysts and SQL developers face a critical gap: they know the power of Power BI and they know the language of SQL, but making them work together in perfect harmony is a challenge. The result is often slow reports, complex maintenance, and a constant struggle to deliver truly deep, actionable analysis. This is the single biggest barrier to becoming a high-impact BI professional. This book was written to bridge that gap. It is designed specifically for the data professional who knows there has to be a better way. It understands that you might feel limited by a graphical interface, or that you might be an SQL veteran feeling a little lost in the new world of interactive dashboards. This book respects your experience and gives you a new, powerful methodology. SQL is not just a legacy skill; it is your single greatest asset for building high-performing BI solutions. This guide introduces the "SQL-First" approach to Business Intelligence—a proven method for pushing complex work to the database, where it belongs. This frees up Power BI to do what it does best: create stunning, lightning-fast, and interactive visualizations. This comprehensive handbook breaks down the entire BI workflow into manageable, step-by-step chapters. It focuses on practical application, showing you how to leverage your SQL skills to solve real-world business problems and build a truly professional-grade analytics portfolio. It's about empowering you to architect solutions that are not just beautiful, but also robust, scalable, and incredibly fast. Inside, you'll discover how to: · Stop fighting with slow dashboards: Learn the performance tuning techniques that senior BI professionals use to make their reports fly. · Build a rock-solid data foundation: Master the art of data modeling with star schemas, creating a "single source of truth" that the entire organization can trust. · Move from being a report builder to a true BI architect: Understand the crucial relationship between SQL and Power Query, and when to use each tool for maximum effect. · Answer complex business questions with confidence: Implement advanced analytical scenarios like RFM segmentation, market basket analysis, and customer cohort analysis directly in SQL. · Future-proof your career: Gain a clear understanding of how SQL is evolving and its central role in the cloud, big data, and AI. Here's a glimpse of what you'll learn: · Advanced SQL for Data Transformation: Master CTEs, Window Functions (LAG, LEAD, RANK), and CASE statements for sophisticated data shaping. · Data Modeling for Power BI: Design and implement a high-performance star schema from the ground up. · Query Optimization: Learn to read Execution Plans, leverage Indexes, and write SARGable queries that the database loves. · The Power Query vs. SQL Debate: Understand the critical concept of Query Folding and the best practices for a hybrid approach. · DAX for the SQL Professional: Get a clear introduction to DAX, its core differences from SQL, and the powerful CALCULATE function. · Security & Governance: Implement Row-Level Security, manage permissions, and apply data governance best practices to your solutions. This book is more than just a guide to syntax; it's a roadmap to becoming the BI expert that companies are fighting to hire. It's time to connect your SQL expertise to the power of modern visualization and deliver the insights that truly drive the business forward. Ready to become the indispensable BI expert your organization relies on?

Building Integrated Business Intelligence Solutions with SQL Server 2008 R2 & Office 2010


Building Integrated Business Intelligence Solutions with SQL Server 2008 R2 & Office 2010

Author: Philo Janus

language: en

Publisher: McGraw Hill Professional

Release Date: 2011-02-22


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Master Microsoft's Business Intelligence Tools Building Integrated Business Intelligence Solutions with SQL Server 2008 R2 & Office 2010 explains how to take full advantage of Microsoft's collaborative business intelligence (BI) tools. A variety of powerful, flexible technologies are covered, including SQL Server Analysis Services (SSAS), Excel, Excel Services, PowerPivot, SQL Server Integration Services (SSIS), Server Reporting Services (SSRS), SharePoint Server 2010, PerformancePoint Services, and Master Data Services. This practical guide focuses on deveoloping end-to-end BI solutions that foster informed decision making. Create a multidimensional store for aggregating business data with SSAS Maximize the analysis capabilities of Excel and Excel Services Combine data from different sources and connect data for analysis with PowerPivot Move data into the system using SSIS, InfoPath, Streamsight, and SharePoint 2010 External Lists Build and publish reports with SSRS Integrate data from disparate applications, using SharePoint 2010 BI features Create scorecards and dashboards with PerformancePoint Services Summarize large volumes of data in charts and graphs Use the SSRS map feature for complex visualizations of spatial data Uncover patterns and relationships in data using the SSAS data mining engine Handle master data management with Master Data Services Publish the components of your BI solution and perform administrative tasks

Advanced SQL Queries


Advanced SQL Queries

Author: Robert Johnson

language: en

Publisher: HiTeX Press

Release Date: 2024-10-26


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"Advanced SQL Queries: Writing Efficient Code for Big Data" is an essential guide for data professionals seeking to deepen their expertise in SQL amidst the complexities of Big Data environments. This comprehensive book navigates the intricacies of advanced SQL techniques and performance optimization, equipping readers with the skills needed to manage and analyze vast datasets effectively. From learning to write complex queries and mastering data warehousing techniques to exploring SQL's integration in NoSQL environments, the book provides a detailed roadmap to harnessing the full potential of SQL in data-intensive scenarios. Through a structured approach, this book delves into the evolving landscape of SQL, addressing contemporary challenges such as real-time data management, security, and data governance. It also sheds light on future trends, including the interplay of AI and machine learning with SQL, ensuring that readers stay ahead of technological shifts. Suitable for both emerging data scientists and experienced database administrators, "Advanced SQL Queries" serves as a vital resource to elevate one’s proficiency, enabling professionals to drive data-driven insights and decisions with confidence and precision.