
Explore the concept of Full RAG (Retrieval-Augmented Generation) and its potential to revolutionize user experiences across industries in this 28-minute talk by Mike Del Balso, co-founder of Tecton. Examine four levels of context personalization, from ba…

Explore the evolution of data management from early computing to modern real-time systems. Gain insights into technological advancements shaping our understanding and utilization of data.

ストリーミングIoTセンサーデータを活用した実用的な機械学習パイプラインの構築方法を紹介。MapRとH2Oを使用し、リアルタイム予測を実現する大規模IoTシステムの実装プロセスを解説。

Explore how digital data collection methods impact scientific inference, focusing on Twitter data analysis, APIs, and logit regression. Learn to navigate challenges in social and cultural research.

Learn to build a robust streaming ETL pipeline that handles dynamically changing schemas and new event types without downtime, using Delta Lake and Databricks for real-time data lake implementation.

Explore the evolution of sports analytics in the NBA, its impact on teams, and how data drives competitive advantage in professional basketball.

Explore a data engineer's challenges in creating robust Big Data solutions, covering Delta, Spark streaming, schema enforcement, and time travel functionality in data processing.

Learn to leverage Delta Lake for dashboards and advanced analytics, enabling downstream teams with machine learning and business intelligence capabilities on a unified data platform.

Explore strategies for simplifying data architectures, modernizing infrastructures, and leveraging real-time streaming for AI. Learn to navigate complexity and achieve faster results in data engineering.

Explore modern streaming data platforms for real-time transaction processing, focusing on durability, scalability, and performance in critical data paths. Learn from Alpaca's experience re-engineering their order management system.

Explore scalable real-time trade data processing using Hazelcast and FINOS Perspective. Learn to architect high-performance applications combining streaming data, reference data, and machine learning for front and back office use-cases.

Explore NBCUniversal's data-driven approach to audience targeting using Apache Mesos, DC/OS, Spark, Kafka, and Cassandra for real-time analytics and personalized data services.

Explore declarative reasoning with timelines for advanced event processing. Learn stream-native query abstractions and simplified time-based reasoning techniques for modern data processing challenges.

Explore Apache Pinot's real-time analytics capabilities, architecture, and data model. Learn about its query language, indexing, and use cases in high-performance applications.

Explore real-time data enrichment using streaming platforms, Debezium for CDC, and Python-based ML for sentiment analysis. Learn strategies for data aggregation and visualization in modern streaming architectures.

Explore Boeing's use of streaming data to monitor flights, detect aviation events, and enhance decision-making for pilots and operations control centers using advanced data technologies.

Explore data engineering on Databricks' platform: ingest, transform, and orchestrate data at scale. Learn about streaming pipelines, data quality, and AI-powered tools for real-time insights.

Build fast, reliable, and scalable ETL pipelines using Delta Live Tables on Azure Databricks. Learn declarative approaches and see demos of simple and complex streaming pipelines.

Explore WASM-based data transformation for simplified, high-performance real-time applications and data pipelines. Learn architecture, use cases, and see a live demo with Redpanda.

Explore RSocket, an open-source reactive protocol for IoT-cloud communication. Learn its benefits, deployment models, and how it simplifies service discovery and bi-directional data flow.

Discover the hidden benefits of open source for engineers and organizations, from improved code quality to enhanced company culture and reputation.