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Deploying Sharepoint 2016: Best Practices for Installing, Configuring, and Maintaining Sharepoint Server 2016

為了解決SQL Server 2016 down的問題，作者Catrinescu, Vlad/ Seward, Trevor 這樣論述：

Learn how to install, configure, and maintain the latest release of Microsoft's popular SharePoint Server, SharePoint 2016. This latest version brings with it many changes for IT professionals. With this book you will learn how to create an efficient and stable SharePoint environment for your organi

zation. What You'll LearnInstall SharePoint Server 2016, both using the user interface provided by Microsoft, and by using PowerShellUnderstand your authentication options and associated security considerationsDeploy add-ins, either from the store, or from your own custom app catalogConfigure Search

Service Application using either the provided UI or PowerShellConfigure business intelligence components such as Excel Services, SQL Server Reporting Services, and PowerPivotMigrate to SharePoint Server 2016 from either SharePoint Server 2010 or 2013Understand approaches to high availability, disas

ter recovery, patching, and ways to monitor and maintain your SharePoint 2016 deployment once it's up and runningWho This Book Is ForAnyone tasked with installing, configuring, and maintaining SharePoint Server 2016 in their organization. This book assumes some working knowledge of a previous releas

e of SharePoint Server, such as SharePoint 2010 or SharePoint 2013 Vlad Catrinescu is a SharePoint and Office 365 consultant specializing in SharePoint and SharePoint Online deployments, as well as hybrid scenarios. As a Pluralsight author, Microsoft Certified Trainer, and recognized international

speaker, Vlad has helped thousands of users and IT pros across the globe to better understand and get the most out of SharePoint.Vlad is a three-time Microsoft Most Valuable Professional (MVP) in SharePoint since 2013 and is known in the community for his technical abilities and for founding the la

rgest and most active online SharePoint community. He also has his own blog, Absolute SharePoint, and he often shares his knowledge by speaking at local conferences and community events.Trevor Seward is a SharePoint consultant specializing in on-premises infrastructure and architecture, supporting S

harePoint and dependent services such as identity management, virtualization, and business intelligence, with 12 years of experience administering and configuring SharePoint. He is a four-time Office Servers and Services Microsoft Most Valuable Professional (MVP) who has been recognized for support

and developing free open source solutions. He also runs a blog, The SharePoint Farm, with technical, in-depth articles.

SQL Server 2016 down進入發燒排行的影片

物聯網網關的惡意流量檢測和 Web 保護機制

為了解決SQL Server 2016 down的問題，作者彭敏君 這樣論述：

Market demand and the development of 5G communication technology have enabled the Internet of Things (IoT) to develop rapidly.However, the growth of IoT devices has also raised concerns over security issues such as predictable or vulnerable passwords, inadequate privacy protection, and insecure def

ault settings.The root cause of these problems is that IoT devices have yet to fully develop their full potential in defending against such attacks and that there is currently no adequate defense mechanism at all.The most commonly used vulnerability detection method for XSS detection is wordlist.By

employing the use of wordlist's XSS vulnerability detection capabilities, the speed and efficiency of vulnerability detection can be improved with simple content.Unfortunately, this comes at the cost of the vulnerability detection accuracy. On the contrary, inputting as much content as possible will

improve the accuracy of its vulnerability detection but at the cost of its speed.In order to counter these problems, this paper proposes a malicious traffic detection and web page protection mechanism based on IoT gateways.The main structure of this mechanism comprises of IoT gateways and cooperati

ve computing hosts.The deep learning model was used as its core for malicious IoT traffic detection, combining open source vulnerability detection tools and a self-developed xss generation framework (XGF) to create a sustainable IoT device protection mechanism.In malicious traffic detection, we used

a time-sharing network traffic identification algorithm and a network traffic visualization identification algorithm as its core, thereby achieving malicious traffic identification for IoT devices without compromising speed and precision.Simultaneously, our method will control the firewall to block

IoT device attacks.In order to enhance malicious traffic detection capabilities, we have also added XSS payload generation rules to advance the web detection capabilities of its open source vulnerability detection tools.Our proposed method will capture the traffic generated by open source vulnerabi

lity detection tools.This will subsequently be used as training data for malicious traffic detection, thus ensuring that the initial stage of IoT attacks can be detected.We evaluate the accuracy of deep learning models by using the self-collecting Mirai botnet and USTC-2016 datasets.The experimental

results show that the accuracy of this deep learning model is greater than 99%.This paper also compares the XSS detection performance of both XGF and OWASP ZAP. Results showed that when the detection accuracy was 100%, the detection speed of XGF was 19%~83% faster than OWASP ZAP.

Building a Sharepoint 2016 Home Lab: A How-to Reference on Simulating a Realistic Sharepoint Testing Environment

為了解決SQL Server 2016 down的問題，作者Simpkins, Stacy 這樣論述：

This book is a step-by-step guide to building your own SharePoint farm in a home lab setting. Learn how to build a windows domain and then join servers into the domain in order to create your own testing and learning environment. After you get the domain stood up, where you go from there is up to yo

u. This book will help you learn how to spin up SharePoint in a least privileged fashion. This isn't strictly a SharePoint book, though. For example, if you're not a SharePoint professional and are just looking to create a working windows domain for other purposes; the home-lab domain that you'll cr

eate will work great for Exam preparation for non-SharePoint purposes. You could even use it for learning how to install Exchange Server. After all, it's your Home Lab domain. In this book you will build your home-lab domain and you'll have a great place for learning how to administer SharePoint and

develop SharePoint Apps. Here are just some of the tasks you'll complete in easy to follow exercises: Create a windows domain and a certificate authority, so that you can run SharePoint on SSLJoin servers to the domain and configure other technology on the member servers as neededInstall SQL Server

, and correctly partition the server in accordance with best practicesInstall and configure a SharePoint farmSpin up Host Named Site Collections (HNSC's)Install and configure Visual StudioWho This Book Is For: This book is suitable for both developers and administrators. No technical knowledge is as

sumed beyond a general familiarity with computers and computing terminology. The resulting domain will be suitable for both IT and developer testing needs. Stacy Simpkins is a Microsoft Certified Solutions Expert in SharePoint 2013. He has been working with Windows Server-based domains since 2005

and has been concentrating heavily on SharePoint since 2008. He holds numerous certifications (e.g. MCITP EA 2008 Server, MCSA Server 2012, MCITP SharePoint 2010, and many more). He’s worked with clients from various industries such as: the food industry, the legal industry, and the federal governm

ent. He enjoys spending time with his family, learning about technology, and taking in the occasional hockey game.

自動化探針痕檢測及量測系統

為了解決SQL Server 2016 down的問題，作者周育嘉 這樣論述：

台灣在半導體產業在國際上具有相當重要的地位，多家半導體廠家擴張規模，積極投入廠房的擴建與生產線的增設。造成台灣人力缺口的擴大，人力缺口由上至下游成金字塔型，測試與封裝產業面臨極大挑戰。在產品完成後進入封裝階段，會進行Chip Probe的測試，將裸晶圓直接使用電測機進行電性測試，而輸入訊號由探針卡為介面，將探針與凸塊下壓接觸進行訊號傳遞，並於凸塊留下針痕。但在接觸時，可能因探針卡、電測機機械、產品製程等問題，導致產品或探針損壞，進而影響產品良率及需要花費額外修復成本。 現今許多測試廠採用人工操作機台拍攝的方式進行品檢，藉由量測下壓後之針痕尺寸，計算該凸塊是否出現問題，但此方法除只能檢測局部

，且產線人員無一定標準，無法準確量測。本文將對於機台拍攝圖像資料集，提出自動化量測及檢測系統，該系統使用AI物件偵測定位，自動辨識探針種類並自動選取演算法，且利用產品特性，提出自適應之針痕量測演算法以解決機差問題。經由量測後，計算出各項指標，以此判讀該凸塊(Bump)與針痕(Probemark)是否符合規格。除演算法外，本文亦提出完整系統架構及設計操作者流程，以符合實際生產場域的需求。 本文所提架構已可實際部屬於生產線，除大幅減少作業員之工作負擔，取代人力抽檢環節，檢測張數從單張變為全圖抽檢，單顆凸塊檢測時間從1.66s大幅下降至5.27ms，且長度誤差僅於4um內，符合產線容忍誤差，並實際

部屬於產線上，實證可檢測出異常的凸塊，其檢出率可達87%。本文系統亦可自動產出判讀結果供現場人員複驗及統計，且設計網頁查詢站供人員進行歷史紀錄及結果查詢，達到量測自動化、符合現場工作流程之目的。