2012-06-25 - MapReduce auf Azure
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Der Map-Reduce Algorithmus begegnet uns bei vielen NoSQL Datenbanken. Wann immer große Datenmengen aggregiert werden, ist er das Mittel der Wahl. In einem Crashkurs wird die Theorie erläutert und gezeigt, wie in Dokumenten bei MongoDB, RavenDB und Hadoop gesucht wird. Mithilfe des MapReduce Modells von Hadoop werden Probleme wie das Durchzählen von Daten, Logfile-Analysen und Graphenanalysen demonstriert. Als Programmiersprache wird C# eingesetzt.
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UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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2012-06-25 - MapReduce auf Azure
- 7. 0067011990999991950051507004...9999999N9+00001+99999999999... 0043011990999991950051512004...9999999N9+00221+99999999999... 0043011990999991950051518004...9999999N9-00111+99999999999... 0043012650999991949032412004...0500001N9+01111+99999999999... 0043012650999991949032418004...0500001N9+00781+99999999999... (1950, 0) (1950, 22) (1950, -11) (1949, 111) (1949, 78) (key, value)
- 8. (1950, 0) (1950, 22) (1950, -11) (1949, 111) (1949, 78) (1949, [111, 78]) . (1950, [0, 22, -11])
- 9. (1949, 111) (1950, 22) (1949, [111, 78]) . (1950, [0, 22, -11])
- 11. (1949, 111) (1949, 78) (1950, 0) (1950, 20) (1950, 10) (1950, 25) (1950, 15) (1950, 0) (1949, 111) (1950, 20) (1950, 25) (1949, [111]) . (1950, [20, 25])
- 18. js> runJar('apps/hadoop-streaming.jar', '-files "asv://server/Mapper.exe, asv://server/Reducer.exe" -mapper "Mapper.exe" -reducer "Reducer.exe" -input "inputFile" -output "outputFile"')
- 26. 141.8.147.14 - - [22/Jun/2013:00:00:35 +0200] ↓ "GET /catalog/images/footbag_freaks08freestyle2_medium.jpg ↓ HTTP/1.1" 200 4379 "-" ↓ "Mozilla/5.0 (compatible; YandexImages/3.0; +http://yandex.com/bots)" IP Address, Date, Request, Code, Size, Country, Referer, UserAgent 141.8.147.14, […] , Mozilla/5.0 { "IP Address" : "141.8.147.14", "Date" : "[22/Jun/2013:00:00:35 +0200]", "Request" : "GET /catalog/images/footbag_freaks08freestyle2_medium.jpg HTT "Code" : 200, "Size" : 4379, "Country" : "Germany", "Referer" : "-",