
Explore Google Dataflow's unified batch and stream processing model through real-time demonstrations, practical insights, and visualization techniques for managing data streams.

Explore the Panama Papers leak using graph databases, focusing on how ICIJ utilized this technology to analyze 3TB of data and provide an accessible interface for investigative journalists.

Explore predictive capabilities and voice recognition for developers. Learn to build smart apps using AWS Machine Learning and Amazon Alexa, enabling voice-powered experiences and custom skills.

Explore machine learning workflows on Kubernetes using Kubeflow, covering deployment, training, inference, and advanced features like hyperparameter tuning and automated pipelines.

Explore real-time video analytics for football games using Apache Beam, machine learning, and cloud technologies to detect events, track players and ball, and perform game analytics.

Explore open-source technologies for flexible data pipelines, from Apache Kafka to BigQuery, with easy component swapping and cloud deployment options.

Explore Kusto for interactive Big Data analytics on Azure. Learn advanced querying, monitoring, and debugging techniques used at DocuSign through practical examples and demonstrations.

Learn to instrument applications, gather metrics, and act on aggregate data for effective Kubernetes monitoring using Prometheus and Grafana in cloud-native environments.

Explore how machine learning amplifies social biases, examine real-world examples, and discover solutions to drive positive change. Learn to assess impact and transform risks into powerful solutions.

Strategies for building resilient Java Enterprise applications in production, covering circuit breakers, bulkheads, backpressure, and telemetry using MicroProfile and service meshes.

Explore LinkedIn's approach to scaling AI and ML systems, focusing on improving productivity and accessibility for engineers across product groups.

Discover Quarkus: Java's answer to nimble cloud-native technologies. Experience supersonic, subatomic Java that makes frameworks like Hibernate and Apache Camel faster, smaller, and more scalable than ever before.

Learn to implement fast, efficient stream processing with a distributed in-memory cache using Java. Discover techniques for analyzing in-memory data and integrating external data sources for high-performance analytics.

Explore configuration-based streaming ETL pipelines between MongoDB and Apache Kafka using Kafka Connect framework, focusing on data integration scenarios without coding.

Demystifying Data Mesh through practical platform building, focusing on components, patterns, and technologies for developing and reusing data products in cloud-native environments.

Explore enterprise data-driven journeys through analytical capabilities, architectural patterns, and practical examples. Learn to navigate data platform decisions and support scalable innovation.

Explore Elasticsearch's distributed architecture, efficiency, and resilience for modern data challenges. Learn about ingestion, sharding, replication, and search distribution techniques.

Automating pharma research processes using business process modeling to integrate researchers, robots, and systems, enhancing efficiency and standardization in drug discovery and development.

Explore data lakehouses: combining data lakes and warehouses for reliable, flexible data management. Learn about open-source projects, streaming data support, and see a live Twitter sentiment analysis demo.

Explore Payzy, a mobile app revolutionizing e-transactions in Greece. Learn about its innovative tech stack, including AI-powered features like conversational assistants and recommendation systems.

Explore dataframes, collections, and streams in Java using built-in features and libraries like Eclipse Collections and Dataframe-EC. Learn to manipulate data efficiently for data science and collection management.