Datageeks
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This document discusses plans to build an in-house user behavior tracking system to replace Google Analytics. It would track users across multiple platforms, store data in HBase with 1.5 billion entries, and have response times under 20ms. Data would be collected from nginx logs via Flume and written to HBase. The row key design and use of inverse timestamps are discussed to enable fast lookups by user or timespan. Cross-domain tracking techniques like cookies, fingerprinting, and HTML5 storage are also mentioned. The document touches on batch processing of the stored data and using a recommendation engine called Myrrix.
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The Future of Materials: Transitioning from Silicon to Alternative Metalsanupriti
油
This presentation delves into the emerging technologies poised to revolutionize the world of computing. From carbon nanotubes and graphene to quantum computing and DNA-based systems, discover the next-generation materials and innovations that could replace or complement traditional silicon chips. Explore the future of computing and the breakthroughs that are shaping a more efficient, faster, and sustainable technological landscape.Smarter RAG Pipelines: Scaling Search with Milvus and Feast
Smarter RAG Pipelines: Scaling Search with Milvus and FeastZilliz
油
About this webinar
Learn how Milvus and Feast can be used together to scale vector search and easily declare views for retrieval using open source. Well demonstrate how to integrate Milvus with Feast to build a customized RAG pipeline.
Topics Covered
- Leverage Feast for dynamic metadata and document storage and retrieval, ensuring that the correct data is always available at inference time
- Learn how to integrate Feast with Milvus to support vector-based retrieval in RAG systems
- Use Milvus for fast, high-dimensional similarity search, enhancing the retrieval phase of your RAG modelHHUG-04-2025-Close-more-deals-from-your-existing-pipeline-FOR SLIDESHARE.pptx
HHUG-04-2025-Close-more-deals-from-your-existing-pipeline-FOR SLIDESHARE.pptxHampshireHUG
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Struggling to get real value from HubSpot Sales Hub? Learn 5 mighty methods to close more deals without more leads or headcount (even on Starter subscriptions)!
These slides accompanied a webinar run by Hampshire's HubSpot User Group (HUG) on 2nd April, 2025.
HubSpot subscribers can watch the recording here: https://events.hubspot.com/events/details/hubspot-hampshire-presents-5-ways-to-close-more-deals-from-your-existing-sales-pipeline/
ABOUT THE EVENT:
Unlock hidden revenue in your CRM with our practical HubSpot tactics
Are you struggling to get real value from your HubSpot Sales Hub?
If your HubSpot feels like more of an admin burden than a revenue enabler, youre not alone. Many sales leaders find that their team isn't updating records consistently, pipeline visibility is poor, and reporting doesnt deliver the insights they need to drive strategy.
The good news? You dont need to upgrade your HubSpot subscription to sort these issues.
Join us for this webinar to learn 5 mighty tactics that will help you streamline your sales process, improve pipeline visibility, and extract more revenue from your existing pipeline, without spending more on marketing or hiring extra sales reps.
What Youll Learn
Customising Records Increase sales momentum with more useful CRM data for your salespeople
Pipeline Rules Improve deal stage consistency and data accuracy for improved prioritisation and forecasting
Team Permissions & Defaults Control access and streamline processes. Spend more time selling, less on admin
Pipeline View Customisation Get clearer sales insights, faster, to deal with revenue leaks
Simple Sales Reports Build actionable dashboards to drive strategy with data
Bonus: Successful Sales Hub users will share their experiences and the revenue impact it has delivered for them.
Who is this webinar for?
Sales leaders using HubSpot Sales Hub Starter, or those new to HubSpot
Sales managers who need better CRM adoption from their team
Anyone struggling with pipeline visibility, reporting, or forecasting
Teams who want to close more deals without extra sales headcount San Francisco Atlassian ACE - Mar 27 2025.pdf
San Francisco Atlassian ACE - Mar 27 2025.pdfMatt Doar
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際際滷s from 7 vendors at. the Atlassian ACE event in SF on March 27th 2025
2025-04-05 - Block71 Event - The Landscape of GenAI and Ecosystem.pdf
2025-04-05 - Block71 Event - The Landscape of GenAI and Ecosystem.pdfIvan Tang
油
The different layers of GenAI stack.
Getting the Best of TrueDEM April News & Updates
Getting the Best of TrueDEM April News & Updatespanagenda
油
Webinar Recording: https://www.panagenda.com/webinars/getting-the-best-of-truedem-april-news-updates/
Boost your Microsoft 365 experience with OfficeExpert TrueDEM! Join the April webinar for a deep dive into recent and upcoming features and functionalities of OfficeExpert TrueDEM. Well showcase whats new and use practical application examples and real-life scenarios, to demonstrate how to leverage TrueDEM to optimize your M365 environment, troubleshoot issues, improve user satisfaction and productivity, and ultimately make data-driven business decisions.
These sessions will be led by our team of product management and consultants, who interact with customers daily and possess in-depth product knowledge, providing valuable insights and expert guidance.
What youll take away
- Updates & info about the latest and upcoming features of TrueDEM
- Practical and realistic applications & examples for troubelshooting or improving your Microsoft Teams & M365 environment
- Use cases and examples of how our customers use TrueDEMAutomated Engineering of Domain-Specific Metamorphic Testing Environments
Automated Engineering of Domain-Specific Metamorphic Testing EnvironmentsPablo G坦mez Abajo
油
Context. Testing is essential to improve the correctness of software systems. Metamorphic testing (MT) is an approach especially suited when the system under test lacks oracles, or they are expensive to compute. However, building an MT environment for a particular domain (e.g., cloud simulation, model transformation, machine learning) requires substantial effort.
Objective. Our goal is to facilitate the construction of MT environments for specific domains.
Method. We propose a model-driven engineering approach to automate the construction of MT environments. Starting from a meta-model capturing the domain concepts, and a description of the domain execution environment, our approach produces an MT environment featuring comprehensive support for the MT process. This includes the definition of domain-specific metamorphic relations, their evaluation, detailed reporting of the testing results, and the automated search-based generation of follow-up test cases.
Results. Our method is supported by an extensible platform for Eclipse, called Gotten. We demonstrate its effectiveness by creating an MT environment for simulation-based testing of data centres and comparing with existing tools; its suitability to conduct MT processes by replicating previous experiments; and its generality by building another MT environment for video streaming APIs.
Conclusion. Gotten is the first platform targeted at reducing the development effort of domain-specific MT environments. The environments created with Gotten facilitate the specification of metamorphic relations, their evaluation, and the generation of new test cases.ScotSecure Cyber Security Summit 2025 Edinburgh
ScotSecure Cyber Security Summit 2025 EdinburghRay Bugg
油
Scot-Secure is Scotlands largest annual cyber security conference. The event brings together senior InfoSec personnel, IT leaders, academics, security researchers and law enforcement, providing a unique forum for knowledge exchange, discussion and high-level networking.
The programme is focussed on improving awareness and best practice through shared learning: highlighting emerging threats, new research and changing adversarial tactics, and examining practical ways to improve resilience, detection and response.The effectiveness of ai powered educational tools in enhancing academic perfo...
The effectiveness of ai powered educational tools in enhancing academic perfo...aebhpmqaocxhydmajf
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The effectiveness of ai powered educational tools in enhancing academic performance and student engagement in higherSAP Automation with UiPath: Solution Accelerators and Best Practices - Part 6...
SAP Automation with UiPath: Solution Accelerators and Best Practices - Part 6...DianaGray10
油
Join us for a comprehensive webinar on SAP Solution Accelerators and best practices for implementing them using UiPath. This session is designed to help SAP professionals and automation enthusiasts understand how to effectively leverage UiPaths SAP Solution Accelerators to automate standard SAP process quickly. Learn about the benefits, best ways to do it, and real-world success stories to speed up.
APAC Solutions Challenge Info Session.pdf
APAC Solutions Challenge Info Session.pdfGDG on Campus Monash
油
GDG on Campus Monash hosted Info Session to provide details of the Solution Challenge to promote participation and hosted networking activities to help participants find their dream teamDatageeks
- 1. User Behaviour Tracking Track - Store - Process ! //Florian Pfeiffer - Head of Data&Infrastructure - gutefrage.net !
- 3. Vision Lets build our own Google Analytics
- 4. Why analytics does sampling we want the (raw) data
- 5. Ideas,Thoughts&Goals fast / minimal impact on page loading time high availability track user over multiple platforms storage engine? -> hbase
- 7. Numbers! 10-20ms Response Time per pixel record for now: ~2500 concurrent reqs 1,5 billion entries in Hbase 10 Nodes in Hadoop Cluster
- 8. Serving Infrastructure Loadbalancers & RR DNS nginx with empty_gif module (~2ms) data is written to log鍖le
- 9. Storing Infrastructure every nginx node has 鍖ume-ng 鍖ume ingests log鍖le AsyncHBaseSink with custom Serializer direct writes to HBase
- 10. why 鍖ume? we had it already in production ;) Storm might be an interesting alternative
- 12. Why? You can scan through all data and use 鍖lters for selecting speci鍖c data But scanning with start & stop row speeds things up (a lot)
- 13. HBase rowkey design Do I need a fast user or a fast timespan lookup? User - clientid,ts<,connectionId> Timespan - ts,clientid<,connectionId>
- 14. Inverse Timestamps Data in HBase is stored lexicographicaly sorted Normal TS - scan would yield oldest results 鍖rst Inverse TS - newer entries come 鍖rst (and you can cancel the scan if you have enough data)
- 16. The olden times or Cookies Easy to drop a 3rd party cookie with userId on different websites Gets more and more blocked (Safari, FF..)
- 17. Fingerprinting Yields interesting results on desktop, dif鍖cult on e.g. iPhone invisible to user Last resort if everything else fails?
- 18. Etag Quite new, based on browser cache sounds interesting
- 19. HTML5 Storage Store data in local HTML5 storage Retrieve data with Cross Domain Messaging
- 20. Store data e.g. UserId, SessionId, GeoIP, URL, action, data
- 21. Batch Processing Calculate how many users are active on platform A and also on B Get Traf鍖c of all Questions belonging to Channel X sorted by Country
- 22. Now to something completely 糸庄韓韓艶姻艶稼岳
- 23. demo
- 25. Myrrix Evolution: taste -> mahout -> myrrix (-> oryx) Recommender based on ALS
- 26. Recommendations @ GF.net User emit signals on questions view, like, gives answer, answer is voted best Application sends signals through RabbitMQ to recommendation servers
- 27. YEAH but what happens, when a new user signs up?
- 28. ?
- 29. Fetch data from tracking and feed it into myrrix
- 30. Collecting&Storing data works great using & processing is another thing ;)