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Explore Apache Kafka® replication: challenges, approaches, monitoring, and failure handling. Gain practical insights through Docker and Jupyter notebook experiments, with code available on GitHub.
Explore the multi-year journey to enhance Confluent Cloud's performance, learning about workload design, cloud-native complexities, challenges faced, and key principles for improving data streaming systems.
Explore active-active geo-replication in Venice, addressing challenges of last-writer-wins scenarios and enhancing data infrastructure for real-time, multi-source streaming across organizations.
Develop real-time ML applications using Generative AI and Kafka Streams, leveraging data in motion for intelligent, streaming-based solutions.
Explore Robinhood's Consumer Proxy for efficient Kafka management. Learn how to decouple consumer logic, resource utilization, and failure handling from application code, enabling easier scaling and centralized infrastructure management.
Explore recent advancements, upcoming improvements, and innovative applications in Kafka and Flink data streaming. Gain insights from industry leaders on tiered storage, queues, use cases, and two-phase commit protocol.
Explore data requirements for real-time systems: quality, modeling, security, ingestion, retention, and integration. Gain insights for building efficient data streaming platforms.
Learn effective long-term schema management using data contracts. Explore advantages of Avro and Protobuf, schema references, compatibility types, topic versioning, and tools for data discoverability in Apache Kafka.
Explore next-gen data modeling strategies for large-scale systems. Learn about YODA, an internal tool combining developer experience, DBT, Databricks, and more, to address data standardization and governance challenges.
Learn strategies and tools for migrating Kafka clusters with minimal downtime. Explore MirrorMaker, Confluent Replicator, and Cluster Linking. Gain insights on planning, execution, and overcoming challenges in Kafka migration.
Explore real-time data transformation and analytics with dbt Labs. Learn about Modern Data Stack, streaming analytics, and best practices for building efficient data pipelines and democratizing data access.
Explore the future of streaming data, focusing on managing complex data connections, adopting Kafka internally, and addressing challenges in data governance, security, and movement across organizations.
Explore how online gaming concepts enhance large-scale event management in Apache Kafka, including latency masking, conflict resolution, and seamless collaboration techniques for improved real-time data processing.
Gain insights into Apache Kafka event systems using OpenTelemetry for tracing and monitoring. Learn about application-level tracing, native Kafka support, and implementing event-level tracing in distributed systems.
Explore data democratization's importance in modern systems. Learn how making data accessible to all can drive better business decisions, foster collaboration, and provide valuable insights across organizations.
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