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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sql-server-2016-database-reporting/
课程评论：没有评论
课程名称：SQL Server 2016 数据库报告 课程概述： 本课程使用 SQL Server 2016 报告服务，旨在帮助用户以全新、创意的方式可视化数据，以便在演示、分析和决策支持中使用，甚至在移动设备上也可实现。课程提供逐步指导，教用户如何创建令人惊叹的高影响力报告。课程从对相关技术的介绍开始，随后讲解如何创建基本报告，并通过格式化和添加功能（如页眉和页脚）来提高可读性和实用性。课程内容还包括如何创建逐层深入（drill-down）和深入跳转（drill-through）报告、饼图、仪表和地图等视觉元素。最后，课程将教授如何在 SQL Server 报告服务的网页门户上组装仪表盘。通过本课程，您将掌握制作互动、视觉吸引报告的技能，克服在使用 SQL Server 2016 报告服务中遇到的任何难题。 主讲者简介： 达拉斯·斯奈德博士是佛罗里达大学计算机科学系的助理教授。他在阿肯色大学小石城获得了集成计算的博士学位和仪器科学的硕士学位，并在亨德里克学院获得了物理学学士学位。在加入佛罗里达大学之前，他曾在诺斯罗普·格鲁曼信息系统公司担任数据仓库开发员，并在艾克西昂公司担任数据库应用程序开发员。斯奈德博士的教学与研究兴趣包括数据挖掘、数据仓库、信息可视化和网络安全。
With SQL Server 2016 Reporting Services, users are excited about being able to visualize their data in new, creative ways for use in presentations, analysis, and decision support-even on mobile devices. In this course, users will receive step-by-step instructions on how to create stunning, high-impact reports. The course starts with an introduction to the technologies employed. Next, users are shown how to create a basic report and then how to format it and add features (such as headers and footers) to make it more readable, impressive, and practical. The course teaches how to create drill-down and drill-through reports. Pie charts, gauges. and maps are next on the agenda and the course wraps up with lessons on how to assemble a dashboard on the SQL Server Reporting Services web portal. This course will empower you to overcome any obstacle while creating interactive, visually-appealing reports using SQL Server 2016 Reporting Services. About The Author Dr. Dallas Snider is an Assistant Professor in the Computer Science Department at the University of West Florida. He received his Ph.D. in Integrated Computing and M.S. in Instrumental Sciences from the University of Arkansas at Little Rock. He received a B.A. in Physics from Hendrix College. Before joining UWF, he worked as a data warehouse developer for Northrop Grumman Information Systems and prior to that as a database application developer for Acxiom. Dr. Snider's teaching and research interests include data mining, data warehousing, information visualization, and cyber security.
