
Explore Databricks' innovations in data governance for lakehouses, enabling efficient multi-user workloads with Shared Clusters and Unity Catalog while reducing costs and operational complexity.

Discover RAG's potential to enhance AI applications with external knowledge sources. Learn implementation steps using Databricks for more intelligent, context-aware AI solutions.

Explore how 84.51° leverages Delta Live Tables to evolve data flows from batch to streaming, combining real-time and historical data for enhanced retail insights and customer-centric strategies.

Explore SQLMesh, an open-source project revolutionizing data pipeline development with virtual environments, automatic contracts, and accurate change previews for improved efficiency and reliability.

Discover how Corning transformed data analysis using Databricks and AtScale, enhancing scalability, OLAP capabilities, and Excel integration for improved insights and decision-making.

Discover how ABN AMRO built a unified data and AI platform using Databricks, enabling scalable data engineering and AI while ensuring regulatory compliance in banking.

Centralized data management platform for DOE and NNSA projects, enabling researchers to focus on science while efficiently handling data storage, computation, and curation using Databricks and AI.

Explore the symbiosis of data and AI, focusing on high-quality data streams. Learn about AI fundamentals, data's role in model training, and overcoming data management challenges for enhanced decision-making and innovation.

Explore Delta Lake UniForm's solution for enhancing data lake reliability, performance, and governance across multiple environments. Learn best practices for scaling and optimizing cloud-based data lakes.

Explore Sciphi Triplex: a cost-effective, high-performance alternative to Microsoft's Graph RAG for creating knowledge graphs from unstructured data. Learn setup, implementation, and visualization techniques.

Explore innovative techniques for private data analytics using streaming algorithms, sketching methods, and silently verifiable proofs in this cutting-edge IEEE presentation.

Discover best practices for real-time stream processing, addressing challenges and optimizing projects for scalability, performance, failover, reliability, and data recovery using the Hazelcast platform.

Explore server-to-client data streaming in Blazor using REST, gRPC, and SignalR to enhance performance and scalability. Learn implementation techniques for each transport method.

Learn to build a houseplant monitoring system using Raspberry Pi, Apache Kafka, and ksqlDB. Create real-time alerts and gain hands-on experience with event-driven pipelines and stream processing.

Explore Elasticsearch's inner workings: shards, Lucene, node balancing, instance sizing, node types, scaling, and tuning options for optimal performance and efficiency.

Explore data architecture evolution, from RDBMS to Data Lakes and Meshes. Learn to architect modern analytical data infrastructure and glimpse the future of data platforms.

Comprehensive overview of big data technologies and paradigms for software developers, exploring data warehouses, lakes, streams, SQL, NoSQL, and their roles in modern distributed systems.

Explore real-time stream processing for big data, focusing on implementing real-time billing from resource events in distributed systems. Learn key concepts and a reference architecture.

Explore Databricks Workflows for efficient data pipeline orchestration. Learn best practices, serverless jobs, job repair, notifications, event-driven integrations, and effective triggers for optimized data intelligence.

Atlassian's hybrid data strategy combines Databricks and ActionIQ, enabling faster marketing execution, higher-converting audiences, and complex use cases like omnichannel journeys and personalization without sacrificing governance.

ML-based Flood Predictor provides real-time insight into flash flood dangers, enabling better emergency planning and potentially saving lives. Uses U-net model trained on FEMA data paired with terrain information to generate water depth maps.