
Explore real-time log aggregation with Humio for efficient system monitoring. Learn about its unique features, query language, and advantages over alternatives for critical distributed systems.

Exploring whole genome sequencing for cancer treatment using Clojure, Neo4j, and domain-specific languages. Discusses challenges, solutions, and non-traditional team approaches in clinical settings.

Explore Apache Pulsar for event streaming and Apache Pinot for real-time analytics. Learn how these powerful open-source tools combine to deliver scalable, low-latency data processing and analysis in cloud-native environments.

Explore real-time analytics optimization using Apache Kafka and Pinot. Learn how these powerful tools work together to deliver scalable, low-latency solutions for user-facing applications.

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

Uncover streaming ETL secrets: Postgres to Snowflake data ingestion, change data capture, dynamic tables, and Snowpipe streaming. Learn solutions for lower latency, cost savings, and enhanced scalability.

Explore LLM training data platforms: architecture, ingestion, preprocessing, and scaling challenges. Learn from Cohere's experience in managing petabyte-scale datasets for high-quality model training.

Hands-on demonstration of building a Telegram bot using Apache Kafka and ksqlDB, showcasing real-time data processing, querying, and integration capabilities without additional datastores.

Master data pipeline optimization techniques to enhance security operations, reduce noise, and build sustainable architectures for effective threat detection and response.

Explore anomaly detection techniques using Apache Pinot and ThirdEye for efficient cloud-native data analysis and monitoring.

Explore the FLiPN stack for building fast IoT and AI applications. Learn how Apache Flink, NiFi, and Pulsar combine to create scalable streaming solutions for edge computing and rapid data ingestion.

Explore continuous construction and serving of large-scale knowledge graphs with Saga, an end-to-end platform. Learn about challenges in industrial settings and various graph services.

Explore how transformers and language models revolutionize retail data processing, overcoming challenges in deployment and automation for improved business outcomes.

Explore Apache Pulsar's multi-protocol capability for building modern, distributed applications. Learn to design and deploy polyglot messaging systems using MQTT, Kafka, and AMQP protocols.

Explore Apache Pulsar's capabilities for building scalable, resilient event-driven applications. Learn key concepts, best practices, and see a live demonstration of Pulsar's power in action.

Discover techniques for testing Fabric's capacity to handle large-scale data processing, from ingestion to PowerBI visualization, for enterprise-level workloads.

Develop an end-to-end sales analytics project using Apache Flink. Learn data ingestion, processing, complex transformations, and custom output formats for big data processing.

Harness GenAI to enhance serverless observability, leveraging vector databases and ML for improved data ingestion, log analysis, and problem resolution.

Learn to set up and use OpenSearch for powerful search and analytics. Master cluster configuration, dashboard creation, and best practices for effective data visualization and management.

Discover techniques for model blind spot detection and handling unstructured data at scale. Learn to build resilient AI models through data diagnosis, enhancement, and automated evaluation systems.

Explore real-time data ingestion from databases to ML models using Change Data Capture. Learn about Debezium, challenges, and future improvements with a live TensorFlow demo.