Big Data

We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)

We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)

Gaming, AdTech, EdTech, Media Streaming, and FinTech are just a few of the workloads where high-availability cloud infrastructure matters. Whether you’re doing battle daily in one of these spaces or are just curious about ways to improve performance, meet us in Reston for an in-person discussion on bare metal cloud architecture. You’ll meet our product lead, James MacKenzie, who will walk through how modern bare metal serves as a control plane for hybrid and private cloud architectures. **What we will cover** * Ways to leverage bare metal, containers, and orchestration for better performance and predictable economics; * Real-world hybrid, disaster recovery, and data-intensive architectures; * Our approach to eliminating ingress and egress fees. **Who should attend** * Cloud architects and platform engineers; * DevOps professionals and infrastructure leads; * FinOps stakeholders managing data-heavy or hybrid workloads. **Why attend** This is a technical, architecture-first conversation. You will leave with a clearer understanding of high-availability cloud infrastructure and how organizations are scaling cost-effectively. Food and drinks will be provided. Space is limited to keep the discussion interactive.

Join us for another session of our study group as we dive into the fascinating world of Large Language Models (LLMs) using the book **Build a Large Language Model from Scratch** from Manning. In this session, we will finish **Chapter 7: Fine-tuning to follow instructions**. In the last session, we talked about how to prepare the dataset for instruction fine-tuning and in this session we will perform the fine-tuning and evaluate the model afterwards. This isn't just a lecture! Come ready to ask questions, share insights, and code along. Whether you're a beginner or have some experience, this is the perfect opportunity to build a strong foundation together. If you plan to work with the code on your own laptop during the session, try and set-up the environment ahead of time (https://github.com/rasbt/LLMs-from-scratch/tree/main/setup). We will be meeting at the North County Governmental Center this time that is across from the Reston public library.

IMPORTANT PLEASE RSVP @ https://www.meetup.com/washington-dc-elastic-fantastics/events/312487028/?eventOrigin=group_upcoming_events \*\*\* **Agenda:** * 5:30 pm: Doors open; say hi, grab a seat, and eat some food. * 6:00 pm: Talk 1 * 6:30 pm: Q&A * 6:40 pm: Talk 2 * 7:10 pm: Q&A * 7:20-7:30 pm: Networking & refreshments **Sandon Jacobs, Sr. Developer Advocate** ***Streaming Context: Powering Semantic Search with Kafka and Elasticsearch*** As the de facto platform for event streaming, we’ve seen how data from Apache Kafka can easily empower basic keyword search. But let's be real, modern semantic search applications need *context* to interpret the real meaning and intent of a user's query. We could wait around for the next batch job to kick off and provide that context... *or* we could serve it up in near real-time right from our data streams. In this talk, we'll discuss how to leverage data streams from Kafka to power much smarter semantic search with Elasticsearch. We’ll follow a simple event from a Kafka topic and see how it transforms into a powerful vector embedding. Then, we’ll see this whole flow in action using a k-Nearest Neighbor search to instantly find similar items in milliseconds. While my code examples will be in Java or Kotlin using the Spring Boot and Spring AI ecosystem, FEAR NOT! The core concepts—getting data into a vector format via a stream—are totally language agnostic. Join us to grab a few practical ideas you can take and use in your next project!

## **1 Million Cups Loudoun Workshop: How AI Can Work for Your Business** **Wednesday\, January 28 \| 9:00 AM – 10:00 AM** **Venture X Loudoun – Ashburn** Artificial Intelligence is no longer just a buzzword — it’s a practical tool that businesses of all sizes can begin using today. Join **1 Million Cups Loudoun** for a special **workshop-style presentation** led by **Victor Meer of AI Prime** and **Jay Jay Billings of Band Gap AI**, designed to help entrepreneurs understand how AI can realistically support their business operations. This workshop will provide: * A clear, practical overview of what AI actually is * Real-world examples of how businesses are using AI today * Insight into where automation can save time and reduce friction * Guidance on how to start leveraging AI without needing technical expertise Whether you’re AI-curious, overwhelmed by the noise, or ready to explore automation in your business, this session will help you think clearly about where AI fits — and where it doesn’t. As always, coffee, conversation, and community are at the heart of 1 Million Cups Loudoun. ### What Is 1 Million Cups? 1 Million Cups is a national program powered by the Kauffman Foundation that brings together entrepreneurs and community members for weekly conversations that educate, support, and inspire. Loudoun’s chapter meets on the 2nd and 4th Wednesdays of each month. Join us on **January 14 at 9:00 AM** for coffee, connection, and a meaningful conversation about reimagining after-school education in Loudoun County. **We look forward to seeing you there.**