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SQL CREATE TABLE dat的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包
SQL CREATE TABLE dat的問題，我們搜遍了碩博士論文和台灣出版的書籍，推薦Korol, Julitta寫的 Access Project Book 和Seamark, Philip,Martens, Thomas的 Pro Dax with Power Bi: Business Intelligence with Powerpivot and SQL Server Analysis Services Tabular都 可以從中找到所需的評價。
這兩本書分別來自 和所出版 。
國立中正大學 資訊管理系醫療資訊管理研究所 吳帆所指導 吳義萬的 電子病歷資訊安全實證研究 （2019），提出SQL CREATE TABLE dat關鍵因素是什麼，來自於電子病歷、資訊安全、資料庫、資料軌跡紀錄、資料遮罩。
而第二篇論文中原大學 資訊管理研究所 劉士豪所指導 林士棟的 結合SQL及NoSQL方法驗證跨領域資料庫整合之研究－以塑膠模具產業為例 （2015），提出因為有 工業4.0、大數據資料治理、資料生命週期、NoSQL、雲端資料庫的重點而找出了 SQL CREATE TABLE dat的解答。
除了SQL CREATE TABLE dat，大家也想知道這些：
Access Project Book
為了解決SQL CREATE TABLE dat 的問題，作者Korol, Julitta 這樣論述：
This is a project book that guides you through the process of building a traditional Access desktop database that uses one Access database as the front-end (queries, reports, and forms) and another Access database to contain the tables and data. By separating the data from the rest of the database,
the Access database can be easily shared by multiple users over a network. When you build a database correctly at the outset, later this database can be migrated to another system with fewer issues and fewer objects that need to be redone. FEATURES-Understand the concepts of normalization-Build tabl
es and links to other data sources and understand table relationships-Connect and work with data stored in other formats (d104, Word, Excel, Outlook, and PowerPoint)-Retrieve data with DAO, ADO, and DLookup statements-Learn how to process text files for import and export-Create expressions, queries,
and SQL statements-Build bound and unbound forms and reports and write code to preview and print-Incorporate macros in your database-Work with attachments and image files-Learn how to display and query your Access data in the Internet browser-Secure your database for multi-user access-Compact your
database to prevent corruption resulting in data loss
電子病歷資訊安全實證研究
為了解決SQL CREATE TABLE dat 的問題，作者吳義萬 這樣論述：
隨著科技的進步，醫療院所的病歷資料開始電子化，資訊科技帶來了便利性，隨之產生了許多資訊安全的問題。近年來電子病歷的資訊安全議題都備受重視，許多研究都有相關的探討，但本研究發現許多的研究議題都主要著重在防護外部的威脅，內部人員的疏失等研究相對較少，但近幾年的新聞事件中，由人員所引發的資料外洩問題頻頻出現，為改善此問題，因此本研究擬定了一個資訊安全防護方法，著重在內部人員洩漏資訊的問題防護。 本研究著重於資料遮罩以及資料遮罩，建置可用不同符號來遮蔽的資料遮罩，以及監控資料庫軌跡動作的觸發程序，針對新增、刪除、修改監控是誰做、如何做、何時、為了甚麼等，並且建立觸發程序的副本，使用該副本可以快速建
立每個資料表的觸發程序，另外還可以透過SQL工具來儲存使用者的訪問記錄，最後用網頁的方式來呈現整體的資訊安全防護運作模式。藉由本研究規劃的資訊安全策略，加強電子病歷資料庫的內部防護，改善資料外洩的問題再度發生。
Pro Dax with Power Bi: Business Intelligence with Powerpivot and SQL Server Analysis Services Tabular
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為了解決SQL CREATE TABLE dat 的問題，作者Seamark, Philip,Martens, Thomas 這樣論述：
Learn the intricate workings of DAX and the mechanics that are necessary to solve advanced Power BI challenges. This book is all about DAX (Data Analysis Expressions), the formula language used in Power BI--Microsoft's leading self-service business intelligence application--and covers other products
such as PowerPivot and SQL Server Analysis Services Tabular. You will learn how to leverage the advanced applications of DAX to solve complex tasks.Often a task seems complex due to a lack of understanding, or a misunderstanding of core principles, and how certain components interact with each othe
r. The authors of this book use solutions and examples to teach you how to solve complex problems. They explain the intricate workings of important concepts such as Filter Context and Context Transition. You will learn how Power BI, through combining DAX building blocks (such as measures, table filt
ering, and data lineage), can yield extraordinary analytical power. Throughout Pro Dax with Power BI these building blocks are used to create and compose solutions for advanced DAX problems, so you can independently build solutions to your own complex problems, and gain valuable insight from your da
ta. What You Will LearnUnderstand the intricate workings of DAX to solve advanced problemsDeconstruct problems into manageable parts in order to create your own recipesApply predefined solutions for addressing problems, and link back step-by-step to the mechanics of DAX, to know the foundation of th
is powerful query languageGet fully on board with DAX, a new and evolving language, by learning best practicesWho This Book Is ForAnyone who wants to use Power BI to build advanced and complex models. Some experience writing DAX is helpful, but not essential if you have experience with other data qu
ery languages such as MDX or SQL. Philip Seamark is an experienced data warehouse (DW) and business intelligence (BI) consultant with a deep understanding of the Microsoft stack and extensive knowledge of DW methodologies and enterprise data modeling. Recognized for his analytical, conceptual, and
problem-solving abilities, he has more than 25 years of commercial experience delivering business applications across a broad range of technologies. His expertise runs the gamut from project management, dimensional modeling, performance tuning, ETL design, development and optimization, and report a
nd dashboard design to installation and administration. In 2017 Phil received a Microsoft Data Platform MVP award for his contributions to the Power BI community site, and in 2018 he was named a top 10 influencer in the Power BI space. He can be found speaking at many data, analytic, and reporting e
vents around the world. He is also the founder and organizer of the Wellington Power BI User Group. He can be reached through Twitter at PhilSeamark.Thomas Martens has more than 20 years of experience in the fields of BI, DW, and analytics. In his current role as Principal Consultant of Business Int
elligence and Analytics, he helps large enterprises to implement sustainable analytical applications. He specializes in the visualization of data, and the application of analytical methods to large amounts of data. He recognizes DAX as a powerful query language available in many products and wants t
o leverage his hard-earned experience in creating solutions to bring DAX users to the next level. He can be reached at Twitter at tommartens68.
結合SQL及NoSQL方法驗證跨領域資料庫整合之研究－以塑膠模具產業為例
為了解決SQL CREATE TABLE dat 的問題，作者林士棟 這樣論述：
隨著紅色供應鏈的崛起、全球勞動力的短缺，造成全球工資大幅上升，加上大量客製化概念的興起，使得現今的製造產業必須轉型，為此各國紛紛提出產業戰略應對方案。2012年，製造工業大國德國，揭示了工業4.0時代的來臨。為了因應全球競爭趨勢，協助製造業升級，我國提出生產力4.0策略方案，其中部分參酌德國4.0的虛實化系統概念，強調將以智慧機器人、物聯網、大數據分析為3大科技主軸，提升產業之競爭優勢，生產力4.0的核心作法是推動產業朝設備智動化、系統虛實化及工廠智慧化發展來提升產品附加價值及優化台灣產業結構，以創造產業下一波的成長新動能。以台灣塑膠模具產業為例，塑膠零組件的生產跨越的領域甚廣，從模具設計、
模具製造到射出成形，但大部分公司只限於單一領域欠缺整合性的系統，難以達到生產力4.0策略方案的標準。有鑑於此，本研究將設計一套雲端整合平台，以資料治理為中心的基礎概念重新設計整合，將分散在各領域中的資料庫同步至整合資料庫中。本研究經過系統雛形與專家驗證之後，本研究所提出的模具生命週期模型確實能夠應用於塑膠模具產業邊陲長流程，利用此彈性化的變更定義的物件，對於縮短虛實落差與資訊整合作出貢獻。