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FB, SS (4 files), Twitter http://q.4rd.ca/aaacmD #Sore
FB, SS (4 files), Twitter http://q.4rd.ca/aaacmD #Sore
nikhilawareness
because i will be published to all channels
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Harry Potter 7-2 3D tonight!!! http://4rd.ca/aaaj6w
Harry Potter 7-2 3D tonight!!! http://4rd.ca/aaaj6w
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nikhilawareness
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8 channels, future to past future http://awaren.us/H3Wrzw
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Share of Linkedin Corporation (NYSE:LNKD) fell on Monday as investors fretted about a possible battle between the online professional networking service and the far bigger Facebook Inc (NASDAQ:FB).
Rivalry between LinkedIn and FB, really? http://awaren.us/NlFakL
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nikhilawareness
Lets see how this turns up<br /><span>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</span><br /> <ul> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> </ul> <ol> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> </ol><br />Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit
Content to all channels
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nikhilawareness
Recommended
 
FB, SS (4 files), Twitter http://q.4rd.ca/aaacmD #Sore
FB, SS (4 files), Twitter http://q.4rd.ca/aaacmD #Sore
nikhilawareness
because i will be published to all channels
I am omnipresent
I am omnipresent
nikhilawareness
Body for non FB channels
Harry Potter 7-2 3D tonight!!! http://4rd.ca/aaaj6w
Harry Potter 7-2 3D tonight!!! http://4rd.ca/aaaj6w
nikhilawareness
123 321
more testing http://4rd.ca/aaamrg
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This is just for slideshare
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nikhilawareness
FB TW SS FL FS EM YT WP
8 channels, future to past future http://awaren.us/H3Wrzw
8 channels, future to past future http://awaren.us/H3Wrzw
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Share of Linkedin Corporation (NYSE:LNKD) fell on Monday as investors fretted about a possible battle between the online professional networking service and the far bigger Facebook Inc (NASDAQ:FB).
Rivalry between LinkedIn and FB, really? http://awaren.us/NlFakL
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Lets see how this turns up<br /><span>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</span><br /> <ul> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> </ul> <ol> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> <li>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit</li> </ol><br />Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi quis felis magna, quis scelerisque mauris. Praesent malesuada, velit
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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
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In this presentation, we delve into leveraging Amazon Q to elevate developer efficiency and craft GenAI applications. Discover the key features and benefits of Amazon Q for streamlined application development. Learn how Amazon Q can revolutionize your development processes and empower you to create cutting-edge GenAI applications.
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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
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In this presentation, we delve into leveraging Amazon Q to elevate developer efficiency and craft GenAI applications. Discover the key features and benefits of Amazon Q for streamlined application development. Learn how Amazon Q can revolutionize your development processes and empower you to create cutting-edge GenAI applications.
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Terragrunt, Terraspace, Terramate, terra... whatever. What is wrong with Terraform so people keep on creating wrappers and solutions around it? How OpenTofu will affect this dynamic? In this presentation, we will look into the fundamental driving forces behind a zoo of wrappers. Moreover, we are going to put together a wrapper ourselves so you can make an educated decision if you need one.
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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
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Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
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Content to all channels, scheduled for tomorrow http://qa.us/aaabcy
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