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Discover how Trino's distributed SQL query engine revolutionizes data processing, featuring new capabilities like table procedures, polymorphic functions, and modern SQL features for enhanced performance.
Explore real-time analytics systems classification, characteristics, and technology choices for implementing different analytical solutions in production environments.
Discover how Apache Ozone revolutionizes distributed object storage, offering scalable solutions for managing massive data volumes while ensuring reliability, cost-effectiveness, and seamless integration with Hadoop ecosystem.
Discover how to optimize data lake performance and reduce costs using open-source caching frameworks, with practical techniques for query acceleration and storage efficiency.
Discover how to accelerate data analysis using Polars, a high-performance dataframe library that offers powerful alternatives to Pandas for modern data processing needs.
Discover how to build powerful, cost-effective ETL data stacks using open-source tools like sling, dbt, duckdb, and dagster - transforming months of implementation into rapid deployment.
Explore the complexities of truly open-source AI, examining transparency challenges, data attribution issues, and practical solutions for creating genuinely open AI systems.
Discover the modern evolution of Apache Airflow 2.x, exploring new UI features, orchestration methods, and testing capabilities while maintaining backward compatibility for workflow management.
Discover best practices for ethical usage data collection in open source projects, covering community engagement, privacy, compliance, and governance principles.
Discover how open table formats like Apache Iceberg are revolutionizing data accessibility, breaking vendor lock-in, and enabling shared analytics across multiple query engines.
Explore the trade-offs between building custom CICD pipelines for dbt projects versus using dbt Cloud's built-in solutions, focusing on Slim CI and documentation deployment strategies.
Explore how cloud-native technology and open-source solutions are reshaping modern analytics platforms, driving innovation and enabling flexible data applications.
Explore how engineering-focused tools like DuckDb, SDF, and Dagster are reshaping data engineering, addressing limitations of the modern data stack, and enabling more scalable, programmable solutions.
Discover how Kubernetes has evolved to effectively manage stateful applications, from databases and big data to machine learning workloads on Google Kubernetes Engine.
Discover how BigLake Managed Tables enhances open lakehouse formats by combining BigQuery infrastructure with OSS compatibility for improved data management, access control, and high-throughput streaming.
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