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All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.  \nTrademarked names, logos, and images may appear in this book. 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The publisher makes no warranty, express or implied, with respect to the material contained herein.  \nManaging Director, Apress Media LLC: Welmoed Spahr  \nAcquisitions Editor: Shaul Elson  \nEditorial Project Manager: Gryffin Winkler Cover designed by eStudioCalamar  \nCover image designed by GarryKillian on freepik  \nDistributed to the book trade worldwide by Springer Science+Business Media New York, 1 New York Plaza, New York, NY 10004. Phone 1-800-SPRINGER, fax (201) 348-4505, [e-mail](e-mail orders-ny@springer-sbm.com)[ orders-ny@springer-sbm.com](e-mail orders-ny@springer-sbm.com), or [visit](visit www.springeronline.com. Apress Media)[ www.springeronline.com](visit www.springeronline.com. Apress Media)[. Apress Media](visit www.springeronline.com. Apress Media), LLC is a Delaware LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc) . SSBM Finance Inc is a Delaware corporation.  \nFor information on translations, [please e-mail](please e-mail booktranslations@springernature.com)[ booktranslations@springernature.com](please e-mail booktranslations@springernature.com); for reprint, paperback, or audio rights, [please e-mail](please e-mail bookpermissions@springernature.com)[ bookpermissions@springernature.com](please e-mail bookpermissions@springernature.com).  \nApress titles may be purchased in bulk for academic, corporate, or promotional use. eBook versions and licenses are also available for most titles. For more information, reference our Print and eBook Bulk Sales web page at [http://www.apress.com/bulk-sales](http://www.apress.com/bulk-sales).  \nAny source code or other supplementary material referenced by the author in this book is available to readers on GitHub. For more detailed information, please visit [https://www.apress.com/gp/services/](https://www.apress.com/gp/services/)[ ](https://www.apress.com/gp/services/)[source-code](source-code.)[.](source-code.)  \nIf disposing ","cbCainlCG43NGIuK","https://ap.wps.com/l/cbCainlCG43NGIuK","pdf",9744583,320,"English","# About the Author\n# About the Technical Reviewer\n# Acknowledgments\n# Introduction\n# Chapter 1: Introduction to Analytic Data in a Transactional Database\n## Where Should Analytic Data Reside?\n## Analytic Data Size\n## Analytic Data Structure\n## Data Scale\n## Vertical Scaling\n## Horizontal Scaling\n## Scaling Decisions and Strategy\n## Analytic Data Sources","[{\"question\":\"What topics does the book cover in Chapter 1?\",\"answer\":\"It addresses where analytic data should reside, analytic data size and structure, data scale, vertical and horizontal scaling, and how scaling decisions and strategies are made. It also introduces analytic data sources and compares warehouse-style structured data with lake-style unstructured data.\"},{\"question\":\"How does the book frame structured versus unstructured analytics data sources?\",\"answer\":\"Structured data is discussed in the context of a data warehouse, while unstructured data is discussed in the context of a data lake. This distinction helps readers choose approaches aligned with the nature of the analytics workload.\"},{\"question\":\"What is the main goal of the analytics optimization approach described in the title?\",\"answer\":\"The approach targets cost-effective, scalable analytics for real-world SQL Server workloads by optimizing analytics using columnstore indexes in Microsoft SQL Server, particularly under different scaling and data organization considerations.\"}]","Analytics Optimization with Columnstore Indexes in Microsoft SQL Server - Second Edition - Cost-Effective, Scalable Analytics for Real-World SQL Server Workloads | PDF",1792357696,806]