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Access Project Book

為了解決SQL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

SQL進入發燒排行的影片

公有雲端企業資料庫即時同步備援到企業自有機房之研究

為了解決SQL的問題，作者周建竹 這樣論述：

由於在近十年來網路通訊技術的快速發展，雲端服務在手機時代已經被各企業和個人所採用，在此平台上，提供的服務，可以使租用戶能快速建構符合他們本身所需要的資料系統，另外在以前雲端服務及網路通訊技術尚未普及的年代，資訊系統備援是有地區距離的限制，而現在，在地端和雲端聯結更緊密的時代，在雲端各應用系統的後端的關聯式資料庫儲存重要的交易資料，其中備援設計更是極為重要。在本論文中研究的目的將以雲端的關聯式資料庫層級即時備援到地端，從可用性、即時性、保密安全性、持久性保存和搬遷性等做探討，本研究所採用的方式為在雲端租用和設定環境和地端架設環境，建構本研究之研究模型，進行雲端到地端在關聯式資料庫層級的備援探討

分析，並使用雲端運算業者Azure的計量統計圖表做資料蒐集及資料分析，呈現雲端硬碟讀寫累積使用量和網路頻寬累積使用量的數據並進行分析和探討，企業將可依照自己業務特性，做出符合最佳化的雲端資料庫備援到地端資料庫方式的決策。

Azure Data Engineering Cookbook - Second Edition: Get well versed in various data engineering techniques in Azure using this rec

為了解決SQL的問題，作者 這樣論述：

Nearly 80 recipes to help you collect and transform data from multiple sources into a single data source, making it way easier to perform analytics on the dataKey Features: Build data pipelines from scratch and find solutions to common data engineering problemsLearn how to work with Azure Data Fa

ctory, Data Lake, Databricks, and Synapse AnalyticsMonitor and maintain your data engineering pipelines using Log Analytics, Azure Monitor, and Azure PurviewBook Description: The famous quote ’Data is the new oil’ seems more true every day as the key to most organizations’ long-term success lies in

extracting insights from raw data. One of the major challenges organizations face in leveraging value out of data is building performant data engineering pipelines for data visualization, ingestion, storage, and processing. This second edition of the immensely successful book by Ahmad Osama brings t

o you several recent enhancements in Azure data engineering and shares approximately 80 useful recipes covering common scenarios in building data engineering pipelines in Microsoft Azure.You’ll explore recipes from Azure Synapse Analytics workspaces Gen 2 and get to grips with Synapse Spark pools, S

QL Serverless pools, Synapse integration pipelines, and Synapse data flows. You’ll also understand Synapse SQL Pool optimization techniques in this second edition. Besides Synapse enhancements, you’ll discover helpful tips on managing Azure SQL Database and learn about security, high availability, a

nd performance monitoring. Finally, the book takes you through overall data engineering pipeline management, focusing on monitoring using Log Analytics and tracking data lineage using Azure Purview.By the end of this book, you’ll be able to build superior data engineering pipelines along with having

an invaluable go-to guide.What You Will Learn: Process data using Azure Databricks and Azure Synapse AnalyticsPerform data transformation using Azure Synapse data flowsPerform common administrative tasks in Azure SQL DatabaseBuild effective Synapse SQL pools which can be consumed by Power BIMonitor

Synapse SQL and Spark pools using Log AnalyticsTrack data lineage using Microsoft Purview integration with pipelinesWho this book is for: This book is for data engineers, data architects, database administrators, and data professionals who want to get well versed with the Azure data services for bu

ilding data pipelines. Basic understanding of cloud and data engineering concepts will help in getting the most out of this book.

資訊安全事件管理平台的自動化聯合防護阻擋機制之研究

為了解決SQL的問題，作者劉鍵毅 這樣論述：

隨著台灣資通安全意識提升，國內許多企業、法人或公務機關，逐漸重視資訊安全的防護，導入資訊安全事件管理平台，使網路活動及日誌可視化，並集中於同一平台上，讓資安管理人員能直接在SIEM平台上直接看見許多設備的日誌，平時除了能主動查找異常日誌外，也能被動地建立規則條件及門檻值（Threshold）使日誌被規則關聯。在有了告警功能後，管理者便可以一目了然的看見告警的原因，再經由人工判斷，判斷是否需要將該事件的IP新增到具有阻擋功能之設備進行阻擋，或向具阻擋功能之資安設備管理者申請阻擋。本研究將實作開發自動化聯防阻擋程式，並在資訊安全事件管理平台上建立相關規則，並利用模擬真實事件發生時的日誌，在資訊安

全事件管理平台上模擬出設備日誌，將資訊安全事件管理平台所觸發相關規則之事件IP，透過自動化阻擋程式，將IP送至入侵偵測防禦系統（Intrusion Prevention System, IPS）黑名單進行阻擋，以符合自動化阻擋機制，並將阻擋程式之日誌送至SIEM進行監控，最後將整體機制呈現於結果。