
Explore Hadoop and Big Data concepts in this NightHacking presentation, focusing on their integration with Java for efficient data processing and analysis.

Explore big data concepts, distributed systems, and analytics techniques with expert Cliff Click, covering data motion, compression, and efficient processing strategies.

Explore Kubernetes' impact on data engineering, focusing on open-source tools, scalability, and efficiency. Learn how it's shaping the future of data processing and management.

Explore strategies for monitoring Fluent Bit in production, including key metrics, storage considerations, and detecting pipeline health issues. Learn from real-world experiences and gain practical insights for optimizing your logging infrastructure.

Explore Fluent Bit's core event loop, its challenges in high-throughput scenarios, and ongoing optimization efforts. Gain insights to contribute to the discussion on improving this crucial system.

Explore Fluent Bit 1.9's latest features for enhanced observability, including improved container support, new plugins, and optimized performance for efficient log and metric collection.

Explore unified observability with Fluentd and Fluent Bit, covering log and metric collection, processing, and integration with Prometheus for enhanced monitoring in production environments.

Explore Fluentd scaling strategies, performance optimization, and deployment architectures for handling millions of events efficiently in large-scale environments.

Hands-on workshop exploring Fluent Bit's new metrics capabilities with M3DB. Learn to collect, send, and visualize metrics using open-source tools in a cloud-native observability stack.

Explore Lua scripting in Fluent Bit to unlock its full potential. Learn novel scenarios, tips, and tricks to enhance log processing capabilities beyond basic sample scripts.

Explore the world's first network graph mapping UK corporate ownership data, built to uncover potential corrupt practices and improve transparency in business structures.

Explore high-dimensional and nonparametric statistical inference with Prof. Samworth. Learn techniques for handling Big Data challenges, including random projections and subsampling for variable selection.

Explore stream processing on the edge for real-time data analysis, enabling rapid anomaly detection and distributed machine learning using open-source software.

Explore Fluentd's internals, best practices, SDKs, and sub-projects for efficient logging in cloud-native environments, with a focus on Kubernetes integration and operational challenges.

Explore data locality in cloud-native big data workloads, focusing on Apache Hadoop Ozone's network topology support and its benefits for performance and scheduling in Kubernetes environments.

Master advanced Google Sheets techniques including data manipulation, complex functions, pivot tables, charts, and collaborative features to enhance your spreadsheet skills and boost productivity.

Explore advanced visualization techniques for big data in AR/VR, focusing on real-time inferencing, infrastructure needs, and cognitive AI agents for enhanced customer engagement.

Explore OpenSearch's anomaly detection capabilities through a hands-on walkthrough of remote logging setup, using fluent-bit and creative techniques to spark ideas for larger-scale solutions.

Explore Prestissimo, Presto's new C++ query execution engine, offering improved performance, reliability, and efficiency for data analytics and open data lakehouses.

Explore the development of a PCI DSS compliant data platform on Kubernetes, addressing challenges in the UK payments infrastructure and discussing key considerations for fintech scalability.

Learn how Alluxio enhances Spark and Mesos performance by providing memory-speed data access across disparate storage systems, optimizing big data processing and enabling new workloads.