Streaming vs. Batch Processing: The Future of Data Architecture
Explore the future of data processing with industry experts as they debate streaming vs. batch, adoption challenges, and best practices for real-time data architecture.
Demystifying Stream Processing with Apache Kafka
Demystifying stream processing with Apache Kafka, exploring key features, benefits, and challenges. Introduces Kafka Streams library, highlighting its unique design decisions and tradeoffs in the stream processing landscape.
Anatomy of a Big Data Application in Containers
Explore the anatomy of data-intensive containerized applications, their lifecycle, and architectural patterns using real-world examples like Amazon Retail, Uber, and Strava.
Gandalf - An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
Intelligent analytics service for safe software deployment in large-scale cloud infrastructure, monitoring fault signals and assessing rollout impact to prevent widespread outages.
Scalable Stream Processing - A Survey of Storm, Samza, Spark and Flink
Comprehensive overview of popular stream processing systems for real-time Big Data analytics, comparing Storm, Samza, Spark, and Flink. Explores use cases, architectures, and trade-offs for low-latency data processing.
Runaway Complexity in Big Data Systems and a Plan to Stop It
Explore strategies to combat complexity in big data systems, focusing on immutability, the Lambda Architecture, and a combination of batch and real-time processing for more efficient data management.
Production Model Deployment
Explore strategies for deploying production models, including data sharing, service building, and AB testing. Learn about ML pipelines, engineering requirements, and effective handoff between data scientists and software engineers.
Azure Big Data and MPP Offerings - Summit Preview
Explore Azure's big data and MPP offerings, including data lakes, HDInsight, and SQL Data Warehouse. Learn about architecture, storage options, and processing capabilities for efficient data management.
Tales of Data Architecture Evolution
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.
Building Low Latency Microservices & Monoliths in Java Using High Performance Serialization & Messaging
Explore low-latency microservices and monoliths in Java, focusing on high-performance serialization and messaging techniques for improved system efficiency and responsiveness.
The Sparkling Solution that Scales to IoT
Exploring Spark and Scala for IoT big data analytics, with demonstrations of infrastructure setup on Apache Mesos and coding techniques for Spark streaming, AKKA, and SparkSQL.
The End of History? Convergence of Batch and Realtime Data Technologies
Explore hybrid approaches like Lambda and Kappa architectures for combining batch and real-time systems. Learn about SaaS platforms and managed services that simplify implementation of these powerful data technologies.