Visualizing Security
Explore data analysis and visualization techniques for security through real-world examples, covering various chart types and data transformation methods to enhance security insights.
Stop Writing Dead Programs
Explore the future of programming with a critical look at current practices and innovative ideas for live programming environments that could revolutionize problem-solving in technology.
An Offensive Approach to Analyzing Huge and Complex Big Data Infrastructures
Explore attack vectors in Big Data stack layers: ingestion, storage, processing, and access. Learn methodologies to identify vulnerabilities in complex infrastructures handling massive data volumes.
Spark 2.0
Explore Apache Spark 2.0's evolution, new APIs, and optimizations for big data processing. Learn about DataFrames, Datasets, and Structured Streaming for efficient distributed programming.
Fluent Bit - Swiss Army Tool of Observability Data Ingestion
Discover how Fluent Bit revolutionizes observability data ingestion, offering scalability, performance, and cost-efficiency. Learn about custom plugins, dynamic log metrics extraction, and overcoming data schema challenges.
Customized Cloud Native Logging - Fluent Bit in Open Service Mesh
Explore Fluent Bit integration in Open Service Mesh for customized cloud-native logging. Learn practical examples of filtering, annotating, and routing logs in containerized environments.
Exporting Your Trace Telemetry with OpenTelemetry and Fluent Bit
Learn to collect and export trace telemetry using OpenTelemetry and Fluent Bit for efficient cloud-native application monitoring and observability.
Scaling Log Collection with Fluent Bit
Explore efficient log collection scaling using Fluent Bit, featuring migration insights, benchmarks, and optimization strategies for various use cases.
Streaming Analytics on Edge with Kuiper and KubeEdge
Explore edge IoT data analytics using Kuiper and KubeEdge. Learn about cloud-edge collaboration, SQL analytics, and AI integration for efficient IoT data processing and management in resource-constrained environments.
Scaling Apache Spark on Kube to Apple Scale
Explore scaling Apache Spark on Kubernetes at Apple's scale. Learn about workload portability, best practices, migration tips, and new enhancements for effective deployment in large-scale environments.
Reliable Data Processing with Minimal Toil
Explore strategies for safer, automated batch job processing across millions of users, featuring insights from Google and Slack on canarying, rollouts, and validations.
Secure and Privacy-Preserving Data Transmission and Processing Using Homomorphic Encryption
Explore homomorphic encryption for secure data transmission and processing, enhancing privacy in information security. Learn cutting-edge techniques from industry experts.
Messy Data Does Not Equal Messy Code
Explore strategies for handling messy data in APIs, including architecture, data consumption, and quality assurance techniques for long-term maintenance and seamless upgrades.
Your Program as a Transpiler - Applying Compiler Design to Everyday Programming
Explore compiler design principles and their practical applications in everyday programming, from transpilers to workflow engines and code generation techniques.
Data Visualization, Processing and Machine Learning - on the JVM with Apache Zeppelin
Explore data visualization, processing, and machine learning using Apache Zeppelin's interactive notebooks. Learn to ingest, discover, analyze, and visualize data with multiple backends, including Spark and JDBC.
Collectors in the Wild
Explore the power of Java's Collector API for efficient data processing. Learn about ready-to-use collectors, create custom ones, and build complex pipelines for enhanced code readability and performance.
Reliability and Resilience in the Cloud
Explore processing petabytes of data using Pivotal Cloud Foundry, Google Genomics, and Google Cloud Platform. Learn about microservices, service brokers, and cloud-scale data management for reliable and resilient solutions.
Improve Your App UX with One Model Processing Insights from Batch and Streams
Learn to enhance app UX using a unified model for batch and stream processing. Explore Dataflow's capabilities through a real-time demo, gaining practical insights on managing and visualizing data streams.
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.
Shooting the Rapids
Explore Java 8 streams for efficient data processing, analyzing performance factors and implementation stages to optimize stream usage and parallelization in practical programming scenarios.
The Truth About MapReduce Performance on SSDs
Investigates SSD performance for MapReduce workloads, comparing to HDDs. Presents benchmarking method, cost-per-performance metrics, and quantifies SSD advantages in data processing efficiency.