Hands-On SQL Server 2019 Analysis Services

Design and query tabular and multi-dimensional models using Microsoft's SQL Server Analysis Services

Steven Hughes 지음

Packt(GCO Science) 2020년 10월 22일 출간

작품소개

책소개

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

▶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

▶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.

목차

▶TABLE of CONTENTS
▷ Section 1: Choosing Your Model
？Chapter 1: Analysis Services in SQL Server 2019
？Chapter 2: Choosing the SQL Server 2019 Analytic Model for Your BI Needs

▷ Section 2: Building and Deploying a Multidimensional Model
？Chapter 3: Preparing Your Data for Multidimensional Models
？Chapter 4: Building a Multidimensional Cube in SSAS 2019
？Chapter 5: Adding Measures and Calculations with MDX

▷ Section 3: Building and Deploying Tabular Models
？Chapter 6: Preparing Your Data for Tabular Models
？Chapter 7: Building a Tabular Model in SSAS 2019
？Chapter 8: Adding Measures and Calculations with DAX

▷ Section 4: Exposing Insights while Visualizing Data from Your Models
？Chapter 9: Exploring and Visualizing Your Data with Excel
？Chapter 10: Creating Interactive Reports and Enhancing Your Models in Power BI

▷ Section 5: Security, Administration, and Managing Your Models
？Chapter 11: Securing Your SSAS Models
？Chapter 12: Common Administration and Maintenance Tasks

책 속으로

▶What this book covers
？ Chapter 1, Analysis Services in SQL Server 2019, introduces Analysis Services and the steps to install the tools used in the rest of the book.

？ Chapter 2, Choosing the SQL Server 2019 Analytic Model for Your BI Needs, presents multidimensional and tabular models of Analysis Services and provides reasons to choose between them.

？ Chapter 3, Preparing Your Data for Multidimensional Models, outlines how to organize data into star schemas to support multidimensional models.

？ Chapter 4, Building a Multidimensional Cube in SSAS 2019, covers the necessary steps to build the multidimensional model, complete with facts, dimensions, and partitions.

？ Chapter 5, Adding Measures and Calculations with MDX, illustrates how to expand a multidimensional model with measures and calculations created with MDX and how to query a multidimensional model with MDX.

？ Chapter 6, Preparing Your Data for Tabular Models, covers the steps required to build a Power Pivot model in Excel and prep data for work with tabular models.

？ Chapter 7, Building a Tabular Model in SSAS 2019, shows how to build tabular models using standard refresh, Direct Query, and Power Query, and how to import a Power Pivot model to create a tabular model.

？ Chapter 8, Adding Measures and Calculations with DAX, elucidates the steps to query a model with DAX and expand the model using DAX to create measures, columns, and calculated tables.

？ Chapter 9, Exploring and Visualizing Your Data with Excel, highlights the use of Excel to visualize the data from the models after the models have been created.

？ Chapter 10, Creating Interactive Reports and Enhancing Your Models in Power BI, focuses on the use of Power BI to create modern reports using both multidimensional and tabular models.

？ Chapter 11, Securing Your SSAS Models, engages in imparting knowledge and implementing various patterns to secure multidimensional and tabular models.

？ Chapter 12, Common Administration and Maintenance Tasks, provides steps to manage models by helping in understanding the backup and restore operations, scaling options, and performance techniques.

출판사 서평

▶ Preface
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.

작가정보

저자(글) Steven Hughes

Steve Hughes is the director of consulting and an enterprise architect at 3Cloud. He has worked extensively on Microsoft SQL Server Analysis Services multidimensional models throughout the years, followed by working with tabular models including Power BI and Power Pivot implementations. He is passionate about using data effectively and helping customers understand that data is valuable and profitable. He has worked in many industries, including healthcare, finance, manufacturing, transportation, and utilities. He is a Microsoft Certified Professional with multiple Microsoft Azure and Data Platform certifications.