Shift Left: Rethinking Data Management with Streams and Tables
Rethink data circulation using DataStreams and Change Data Capture. Learn to shift data preparation to creation point, building fresh datasets as streams for operational use or Apache Iceberg tables for analytics.
Striim: Unifying Change Data Capture, AI/ML, and Exactly-once Processing in a Managed Platform
Explore Striim's unified data streaming platform for rapid deployment of event stream pipelines, enabling real-time analytics and AI with built-in CDC and exactly-once processing.
Accelerate Trusted AI by Mastering Data-in-Motion
Master data-in-motion techniques to accelerate trusted AI implementation, enhancing real-time data streaming across organizations for improved customer experiences and backend operations.
Apache Kafka's Next-Gen Rebalance Protocol - Towards More Stable and Scalable Consumer Groups
Explore Apache Kafka's next-generation rebalance protocol, enhancing stability and scalability for consumer groups in data streaming architectures.
Unlocking Real-Time Data Insights: Leveraging Confluent Cloud on Azure
Leverage Confluent Cloud on Azure to build real-time data flows, capture changes instantly, and simplify data pipeline development. Boost productivity and innovate faster with streaming data pipelines and self-service access.
Creating Self-Service, High-Velocity Data Cultures
Discover processes, platforms, and personnel needed to transform data culture into self-service, proactive insights. Learn to leverage data as a competitive advantage across business facets.
Beyond Kafka: Cutting Costs and Complexity with WarpStream and S3
Explore WarpStream's solution for Apache Kafka challenges, leveraging S3 for efficient streaming storage. Learn cost-saving strategies and witness live performance tests handling high-volume data ingestion.
Introduction to Apache Kafka - Fundamental Concepts and Configurations
Explore fundamental Apache Kafka concepts, including event-driven architecture, topics, producers, consumers, and key configurations. Gain confidence in learning this powerful platform.
Unify Batch and Stream Data for Real-Time Intelligence at Google Scale
Leverage unified batch and streaming analytics for real-time insights and actions, enabling competitive advantage through instant analysis of growing data volumes.
Building Next-Generation Data Pipelines with Containers - Fast Track to Modernization
Build efficient, scalable data pipelines using containers. Learn to leverage Cloud Run for streaming, batch, and on-demand data processing, enhancing your business's data management capabilities.
Effortless Change Data Capture with Debezium and Kubernetes
Harness the power of Change Data Capture in Kubernetes using Debezium. Learn to track, stream, and deploy real-time database changes efficiently for data-driven applications.
Apache Kafka Real-Time Personalization Architecture
Explore real-time personalization architecture using Apache Kafka and Spark for advanced content recommendation systems in data engineering and AI.
State Reader API: The New "Statestore" Data Source for Structured Streaming
Explore Databricks' State Reader API for accessing and analyzing Structured Streaming's internal state data, aiding development and troubleshooting of stateful workloads in Apache Spark 4.0.0.
Delta Lake for Polyglot Data and Machine Learning Workloads
Explore Delta Lake's power for data streams, analysis, and ML workloads. Learn about data quality monitoring, efficient job management, and leveraging Delta for auto-ML models and Spark Structured Streaming.
Accelerating Adoption of Data Lake for Streaming and Machine Learning Use Cases
Discover tools and features for efficient Databricks adoption in ML and streaming, focusing on automation and operational efficiency to accelerate implementation of Delta and Spark compute workloads.
Streaming Cross-Sectional Data Visualization with Perspective and Spark
Explore real-time data visualization using Perspective and Spark Streaming. Learn to build high-performance, interactive applications for analyzing streaming data in various industries.
Honeywell Intelligrated's IoT Streaming Lakehouse for Warehouse Automation
Explore Honeywell Intelligrated's journey in launching IoT streaming services for warehouse automation, utilizing Databricks Lakehouse for data governance, processing, and AI-driven solutions.
Seamless Flow: Evolving From Batch to Streaming Data Flows Using DLT
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.
Private Analytics via Streaming, Sketching, and Silently Verifiable Proofs - 2024
Explore innovative techniques for private data analytics using streaming algorithms, sketching methods, and silently verifiable proofs in this cutting-edge IEEE presentation.
Streaming Three Ways with Blazor - REST, gRPC, and SignalR
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.
The Future of Streaming Data - Challenges and Opportunities
Explore the future of streaming data, focusing on managing complex data connections, adopting Kafka internally, and addressing challenges in data governance, security, and movement across organizations.