Data Engineering with Rust and Delta Lake
Explore data engineering with Rust, leveraging Delta Lake, data fusion, and arrow for high-performance pipelines. Learn to ingest, enrich, manage, and export data using Rust's powerful capabilities.
SQL Programming on Databricks - Advanced Features and Future Roadmap
Explore advanced SQL features in Databricks, including GROUP BY ALL and EXECUTE IMMEDIATE, to tackle complex scenarios efficiently. Preview upcoming SQL programming enhancements.
Accelerating GenAI to Production with Neo4j and Databricks
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.
Rapid PySpark Custom Processing on Time Series Big Data in Databricks
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.
Cloud Migration and Cost Optimization in the Databricks Lakehouse
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.
Safe, Concise, Performant Code with the Scala Programming Language
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.
Microsoft Fabric and Databricks for Multi-Cloud Analytics - Best of Both Worlds
Explore leveraging Microsoft Fabric and Databricks for multi-cloud analytics, combining centralized data capabilities with cloud-agnostic processing for optimal enterprise data strategies.
Rapid LLM Prototyping with OpenAI, Databricks, and Streamlit
Discover how to create efficient chatbots using OpenAI and Streamlit for data visualization and simulation, enhancing internal processes in insurance and asset management.
AI Functions: Using AI in SQL with Databricks
Leverage large language models directly in SQL queries to enhance data analysis, generate natural language queries, and create custom logic with Databricks' AI Functions.
Terraform Templates for Secure Databricks Deployments from Day Zero
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.
Best Practices for Unit Testing PySpark
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.
BigQuery Native Integration with Delta Lake - The Latest Announcement
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.
Designing Cloud Storage for LLMs and Data-Intensive Workloads
Optimize storage for LLMs and AI/ML workloads: Learn to select and configure cloud storage solutions for high-performance data pipelines, training, and inference on Google Cloud and Databricks.
Exploring UDTFs and Polymorphism in PySpark
Learn to create and enhance User-Defined Table Functions in PySpark, including polymorphic UDTFs for flexible data processing. Gain practical insights through examples and expert guidance.
Extending a High-performance Data Streaming System with WebAssembly
Explore WebAssembly integration in high-performance data streaming, focusing on challenges, solutions, and developer experience in Redpanda's Seastar framework environment.
Novibet's Journey to the Cloud - Migration Challenges and Solutions
Explore Novibet's 3-year cloud migration journey, from data center to Azure, addressing challenges and implementing tools for automation, CI/CD, and observability.
Kafka for .NET Developers
Comprehensive introduction to Kafka for .NET developers, covering key concepts, tools, and practical examples to enable confident integration of Kafka in .NET applications.
Quarkus Meets AI - Build Your Own LLM-Powered Application
Explore building AI applications with LLMs using Quarkus and Langchain4j. Learn data ingestion strategies and integration with Apache Camel for comprehensive resource utilization.
Managing Data Consistency Among Microservices with Debezium
Learn to manage data consistency in microservices using Debezium. Explore domain-driven design, shared databases, service interfaces, and stream processing for effective data ownership and event-driven architectures.
Apache Kafka and the Rise of the Streaming Platform
Explore streaming platforms with Apache Kafka as the core, revolutionizing data flow management. Learn how this technology acts as a central nervous system for modern digital businesses.
Deploying Apache Kafka on DC/OS - Best Practices and Challenges
Learn best practices, challenges, and lessons for deploying Apache Kafka on DC/OS. Explore Kafka's role in real-time data pipelines and its integration with microservices in DC/OS environments.