
Explore LinkedIn's Brooklin: a scalable, extensible data streaming service supporting multiple sources and destinations for near real-time data movement and change data capture.

Explore Crux, an open-source document database with bitemporal graph queries. Learn about its design, implementation, and future directions for efficient temporal data management in streaming architectures.

Explore ScalaStan, a type-safe DSL for statistical modeling with Stan, enabling programmatic manipulation and generation of Stan programs within Scala for efficient Bayesian inference and data analysis.

Exploring data security through nuclear isolation techniques, this talk presents innovative approaches to protect sensitive information and ensure controlled data manipulation in modern data science.

Explore Netflix's innovative approach to detecting anomalies in complex distributed systems using stream processing and simple algorithms, without relying on machine learning.

Discover exoplanets using open-source PANOPTES: a distributed network of robotic telescopes combining cloud computing, affordable electronics, and innovative software.

Explore privacy's role in creating fair algorithms and ethical machine learning models. Learn about privacy-preserving techniques and their impact on data science and product design.

Explore techniques for maintaining consistency in interactive data visualizations, addressing asynchrony challenges and applying database transaction principles to enhance user experience.

Explore Druid's architecture for powering interactive analytic applications with millisecond query latencies, comparing it to traditional databases and key/value stores for OLAP use cases.

Investigative data journalist shares insights on analyzing big data, focusing on outliers to uncover bugs or unique user behaviors, using examples from Iraq War Logs and FIFA Files.

Explore data visualization techniques using Angular2, ngAnimate, and RxJS to create interactive, high-performance storytelling experiences at 60fps.

Explore service discovery in microservices, focusing on Netflix's Eureka. Learn about high availability, multi-datacenter awareness, and favoring availability over consistency in network partitions.

Explore probabilistic scripting for automating common-sense tasks, focusing on data cleaning. Learn how to encode domain knowledge and leverage probabilistic programming for efficient problem-solving.

Explore space traffic monitoring with ASTRIAGraph, an innovative system for tracking and identifying objects in orbit, addressing challenges in space safety and sustainability.

Explore Twitter's PowerTrack architecture for real-time Tweet filtering, addressing challenges in scalability, redundancy, configuration changes, and data backfilling for enterprise customers.

Explore Kafka's exactly-once semantics, including idempotence and transactions. Learn about distributed transaction mechanics, two-phase commit protocols, and future improvements for stream processing.

Explore building a Scheme-like language compiler in Rust, comparing its performance with C-based implementations and discussing the pros and cons of using Rust for language development.

Explore the pitfalls of metrics analysis and learn strategies to extract actionable insights beyond raw numbers in software development and operations.

Explore function-passing style for distributed programming, leveraging Scala's type system and language features to enable safe, asynchronous computation on immutable data across distributed environments.

Explore efficient data-driven UI development using Incremental, an OCaml library for dynamic computations. Learn techniques for building responsive applications that handle large data streams in real-time.

Explore LinkedIn's journey in democratizing AI, enhancing modeler efficiency, and scaling machine learning across engineering teams through innovative infrastructure and practices.