
Explore CI/CD pipeline vulnerabilities in cloud environments, examining real-world examples of security risks and exploitation techniques in GitHub, CircleCI, and Jenkins.

Learn Python sorting techniques for various data types, from basic list methods to advanced custom sorting, with expert insights and practical examples.

Explore multi-cloud architectures with VP Jenn Bergstrom: definitions, use cases, and considerations for implementing across multiple cloud platforms.

Explore a novel attack vector in GitHub Actions, uncovering hidden access tokens in build artifacts and racing against time to exploit ephemeral credentials for swift attacks on open-source projects.

Explore Azure Databricks' integration with Confidential Computing, enhancing data security through hardware-based trusted execution environments and advanced VM features, with insights on future developments.

Explore event-driven data ingestion using AWS Lambda with Delta Lake. Learn to process, update, and query Delta tables efficiently in Python and Rust for a more responsive data platform.

Learn to translate business models into actionable data models using a unique framework. Gain hands-on experience, templates, and best practices for streamlined setup and enhanced insights, ensuring adaptability and future-proofing.

Discover how Neo4j knowledge graphs enhance GenAI accuracy through GraphRAG, offering superior context for LLMs. Learn to build graphs from Databricks data for improved AI experiences and business solutions.

Efficient PySpark processing for time series big data, enabling rapid custom calculations on rolling windows with constant time complexity, demonstrated using Sleep Number Smartbed sensor data.

Revolutionize data environments with Delta Lake and Unity Catalog, achieving cloud migration in under 6 months and 90% cost reduction. Benefit from data lakehouse advantages like time travel and unified governance.

Discover Scala's unique blend of conciseness and performance. This talk explores how Scala combines elegance with scalability, from simple REPL one-liners to complex real-world applications.

Explore leveraging Microsoft Fabric and Databricks for multi-cloud analytics, combining centralized data capabilities with cloud-agnostic processing for optimal enterprise data strategies.

Discover how to create efficient chatbots using OpenAI and Streamlit for data visualization and simulation, enhancing internal processes in insurance and asset management.

Explore Databricks' Security Reference Architecture: Terraform templates for AWS, Azure, and GCP. Learn best practices for secure deployments, from network firewalls to Unity Catalog external locations.

Learn effective techniques for unit testing PySpark code, including local and CI testing, code structuring for testability, and integration testing with clusters for enhanced reliability and easier refactoring.

Explore how low-code tools can streamline complex analytics and AI integration, enhancing data team efficiency and governance while unlocking new possibilities in the era of LLMs and genAI.

Explore BigQuery's native querying of Delta Lake tables, enhancing data strategy with improved performance and cross-cloud capabilities. Learn about GCP's open platform integrations and interoperability features.

Integrate Python code with Databricks SQL for enhanced data processing. Learn to create, use, and implement Python stored procedures, combining Python's flexibility with SQL's power for complex logic and task automation.

Explore dynamic constants in Java 11, their power, and potential JVM crashes. Learn about JaCoCo, invokedynamic, and various Java features through demos and real-world examples.

Learn to build an expense tracker web app using C# and ASP.NET 8 MVC. Covers model creation, views, database integration, CRUD operations, and data visualization in this hands-on tutorial.

Demystifying Git: Learn from UX designer turned developer Anna Skoulikari as she shares insights on mastering version control, making it accessible for beginners and experienced developers alike.