Hands-On SQL Server 2019 Analysis Services
暫譯: 實戰 SQL Server 2019 分析服務

Hughes, Steven

  • 出版商: Packt Publishing
  • 出版日期: 2020-10-22
  • 售價: $2,220
  • 貴賓價: 9.5$2,109
  • 語言: 英文
  • 頁數: 476
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1800204760
  • ISBN-13: 9781800204768
  • 相關分類: MSSQLSQL
  • 海外代購書籍(需單獨結帳)

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商品描述

Get up to speed with the new features added to Microsoft SQL Server 2019 Analysis Services and create models to support your business


Key Features

  • Explore tips and tricks to design, develop, and optimize end-to-end data analytics solutions using Microsoft's technologies
  • Learn tabular modeling and multi-dimensional cube design development using real-world examples
  • Implement Analysis Services to help you make productive business decisions


Book Description


SQL Server Analysis Services (SSAS) continues to be a leading enterprise-scale toolset, enabling customers to deliver data and analytics across large datasets with great performance. This book will help you understand MS SQL Server 2019's new features and improvements, especially when it comes to SSAS.


First, you'll cover a quick overview of SQL Server 2019, learn how to choose the right analytical model to use, and understand their key differences. You'll then explore how to create a multi-dimensional model with SSAS and expand on that model with MDX. Next, you'll create and deploy a tabular model using Microsoft Visual Studio and Management Studio. You'll learn when and how to use both tabular and multi-dimensional model types, how to deploy and configure your servers to support them, and design principles that are relevant to each model. The book comes packed with tips and tricks to build measures, optimize your design, and interact with models using Excel and Power BI. All this will help you visualize data to gain useful insights and make better decisions. Finally, you'll discover practices and tools for securing and maintaining your models once they are deployed.


By the end of this MS SQL Server book, you'll be able to choose the right model and build and deploy it to support the analytical needs of your business.


What you will learn

  • Determine the best analytical model using SSAS
  • Cover the core aspects involved in MDX, including writing your first query
  • Implement calculated tables and calculation groups (new in version 2019) in DAX
  • Create and deploy tabular and multi-dimensional models on SQL 2019
  • Connect and create data visualizations using Excel and Power BI
  • Implement row-level and other data security methods with tabular and multi-dimensional models
  • Explore essential concepts and techniques to scale, manage, and optimize your SSAS solutions


Who this book is for

This Microsoft SQL Server book is for BI professionals and data analysts who are looking for a practical guide to creating and maintaining tabular and multi-dimensional models using SQL Server 2019 Analysis Services. A basic working knowledge of BI solutions such as Power BI and database querying is required.

商品描述(中文翻譯)

掌握 Microsoft SQL Server 2019 Analysis Services 新增功能,並建立模型以支持您的業務

主要特點


  • 探索使用 Microsoft 技術設計、開發和優化端到端數據分析解決方案的技巧和竅門

  • 通過實際案例學習表格建模和多維立方體設計開發

  • 實施 Analysis Services 以幫助您做出有效的商業決策

書籍描述

SQL Server Analysis Services (SSAS) 繼續作為一個領先的企業級工具集,使客戶能夠在大型數據集上提供高效的數據和分析。本書將幫助您了解 MS SQL Server 2019 的新功能和改進,特別是在 SSAS 方面。

首先,您將快速概述 SQL Server 2019,學習如何選擇合適的分析模型,並了解它們的主要差異。接著,您將探索如何使用 SSAS 創建多維模型,並使用 MDX 擴展該模型。然後,您將使用 Microsoft Visual Studio 和 Management Studio 創建並部署表格模型。您將學習何時以及如何使用表格和多維模型類型,如何部署和配置您的伺服器以支持它們,以及與每個模型相關的設計原則。本書包含了許多技巧和竅門,以建立度量、優化設計,並使用 Excel 和 Power BI 與模型互動。所有這些將幫助您可視化數據,以獲得有用的見解並做出更好的決策。最後,您將發現在模型部署後,保護和維護模型的實踐和工具。

在本書結束時,您將能夠選擇合適的模型並構建和部署它,以支持您業務的分析需求。

您將學到什麼


  • 使用 SSAS 確定最佳分析模型

  • 涵蓋 MDX 中涉及的核心方面,包括撰寫您的第一個查詢

  • 在 DAX 中實施計算表和計算組(2019 版本中的新功能)

  • 在 SQL 2019 上創建和部署表格和多維模型

  • 使用 Excel 和 Power BI 連接並創建數據可視化

  • 使用表格和多維模型實施行級和其他數據安全方法

  • 探索擴展、管理和優化您的 SSAS 解決方案的基本概念和技術

本書適合誰
這本 Microsoft SQL Server 書籍適合尋求實用指南以使用 SQL Server 2019 Analysis Services 創建和維護表格和多維模型的 BI 專業人士和數據分析師。需要具備基本的 BI 解決方案(如 Power BI)和數據庫查詢的工作知識。

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