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Discover how to build real-time GenAI pipelines by combining RisingWave's stream processing with Astra's vector embedding and similarity search capabilities for ChatGPT applications.
Discover DuckDB's powerful analytical database system, featuring in-process execution, multi-language support, and efficient data processing capabilities for handling large datasets on a single laptop.
Explore Apache Kafka's evolution in modern data streaming, from core architecture to cloud-native innovations and exactly-once semantics for real-time enterprise applications.
Dive into Proton's unified streaming analytics engine, exploring watermarking, query management, and real-time data processing capabilities for enhanced historical and live data analysis.
Discover how Evidence transforms business intelligence through markdown and SQL, featuring DuckDB WebAssembly integration, interactive filters, and multi-source data connections.
Discover how Project Nessie enables multi-table transactions and Git-like workflows for Apache Iceberg tables, revolutionizing data lakehouse management and engineering practices.
Master real-time data processing with Apache Flink, from implementing counters and windowed analytics to data enrichment techniques for high-demand distributed systems.
Discover how Apache Pulsar serves as a scalable messaging platform, offering unified data streaming, multi-tenancy, and seamless integration with container environments - all while providing an alternative to traditional message brokers.
Discover how to build a scalable, cost-effective log analytics solution using ClickHouse and Kafka. Learn JSON handling, data compression, and materialized views for processing billions of log events efficiently.
Explore the practical applications and limitations of combining dbt and DuckDB for data transformations, examining real-world use cases and performance considerations.
Discover how Prestissimo revolutionizes Presto SQL engine with C++ runtime, delivering enhanced performance, efficient memory management, and improved CPU utilization through vectorization and runtime optimizations.
Master data visualization automation with Terraform and Superset, learning to streamline dashboard creation, metric management, and chart configurations for enhanced efficiency at scale.
Discover effective AI tools and strategies for automating GitHub repositories, scaling contributors, and leveraging open-source advantages in software development.
Discover how Presto 2.0's C++ rewrite achieves 3-4x performance gains, exploring its architecture, production deployments at Meta and IBM, and impact on Open Data Lakehouse technology.
Discover how to efficiently orchestrate machine learning workflows across multiple clusters and clouds using Hydra architecture for flexible, resource-optimized ML deployment and execution.
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