Discover how to build enterprise-ready AI agents using the newly launched Strands Agents SDK for TypeScript. This session introduces developers to a simple model-driven framework for building agents that run on any cloud, support multiple LLM providers, and integrate with the tools you already have. Learn how TypeScript developers can now leverage the same production-ready agent framework that Python teams have been using, with full type safety and seamless integration into modern JavaScript ecosystems. We'll cover key features, demonstrate multi-agent patterns, and explore deployment options from Amazon EKS to Amazon Bedrock AgentCore with live coding examples.

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NiceGUI is a Python-based web UI framework that enables developers to build interactive web applications without using JavaScript. In this talk, I’ll share how my team used NiceGUI to create an internal A/B testing platform entirely in Python. I’ll discuss the key requirements for the platform, why we chose NiceGUI, and how it helped us design the UI, display results, and integrate with the backend. This session will demonstrate how NiceGUI simplifies development, reduces frontend complexity, and speeds up internal tool creation for Python developers.

In this deep-dive technical session, Ivan Trusov (Sr. SSA @ Databricks) and Giran Moodley (SA @ Databricks) — will explore the full-stack development of Databricks Apps, covering everything from frameworks to deployment. We’ll walk through essential topics, including: Frameworks & tooling — Pythonic (Dash, Streamlit, Gradio) vs. JS + Python stack Development lifecycle — Debugging, issue resolution and best practices Testing — Unit, integration and load testing strategies CI/CD & deployment — Automating with Databricks Asset Bundles Monitoring & observability — OpenTelemetry, metrics collection and analysis Expect a highly practical session with several live demos, showcasing the development loop, testing workflows and CI/CD automation. Whether you’re building internal tools or AI-powered products, this talk will equip you with the knowledge to ship robust, scalable Databricks Apps.

🌟 Session Overview 🌟

Session Name: Using Transformers.js to Bridge the Gap Between AI Research and Production. Speaker: Artem Pochechuev, William de Pretre Session Description: Experience the power of Transformers.js in transforming AI research into production-ready applications. This talk highlights the advantages of running trained models directly in the browser, eliminating the complexities of hosting, server maintenance, and cloud expenses. With Transformers.js, developers can quickly prototype and present results to stakeholders, speeding up the development cycle. Its serverless architecture ensures easy startup and cost-effective operation, facilitating rapid innovation and deployment. Join us to learn how Transformers.js makes AI accessible and practical, driving the future of web-based intelligence.

🚀 About Big Data and RPA 2024 🚀

Unlock the future of innovation and automation at Big Data & RPA Conference Europe 2024! 🌟 This unique event brings together the brightest minds in big data, machine learning, AI, and robotic process automation to explore cutting-edge solutions and trends shaping the tech landscape. Perfect for data engineers, analysts, RPA developers, and business leaders, the conference offers dual insights into the power of data-driven strategies and intelligent automation. 🚀 Gain practical knowledge on topics like hyperautomation, AI integration, advanced analytics, and workflow optimization while networking with global experts. Don’t miss this exclusive opportunity to expand your expertise and revolutionize your processes—all from the comfort of your home! 📊🤖✨

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BI applications are undoubtedly one of the major consumers of a data warehouse. Nevertheless, the prospect of accessing data using standard SQL is appealing to many more stakeholders than just the data analysts. We’ve heard from customers that they experience an increasing demand to provide access to data in their lakehouse platforms from external applications beyond BI, such as e-commerce platforms, CRM systems, SaaS applications, or custom data applications developed in-house. These applications require an “always on” experience, which makes Databricks SQL Serverless a great fit.

In this session, we give an overview of the approaches available to application developers to connect to Databricks SQL and create modern data applications tailored to needs of users across an entire organization. We discuss when to choose one of the Databricks native client libraries for languages such as Python, Go, or node.js and when to use the SQL Statement Execution API, the newest addition to the toolset. We also explain when ODBC and JDBC might not be the best for the task and when they are your best friends. Live demos are included.

Talk by: Adriana Ispas and Chris Stevens

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

JavaScript remains the top programming language today with most code repositories written using JavaScript on GitHub. However, JavaScript is evolving beyond just a language for web application development into a language built for tomorrow. Everyday tasks like data wrangling, data analysis, and predictive analytics are possible today directly from a web browser. For example, many popular data analytics libraries, like Tensorflow.js, now support JavaScript SDKs.

Another popular library, Danfo.js, makes it possible to wrangle data using familiar pandas-like operations, shortening the learning curve and arming the typical data engineer or data scientist with another data tool in their toolbox. In this presentation, we’ll explore using the Node.js connector for Delta Sharing to build a data analytics app that summarizes a Twitter dataset.

Talk by: Will Girten

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

The dbt project at tails.com has over 600 models and 66k lines of code. With multiple contributors to a project and varying SQL backgrounds, it's really difficult to maintain consistent readability and comprehension across a codebase like that by hand.

Python has flake8, Javascript has JSLint, but SQL...?

Listen to this talk from Alan Cruickshank to find out whether SQLFluff might help your teams be more productive with SQL.