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Modern OLAP Database System Design with FDAP (Andrew Lamb)
Jun 5, 2024
Andrew Lamb, Staff Software Engineer at InfluxDB and chair of the Apache Data Fusion project, shares his expertise on modern OLAP database design. He explains the power of the FDAP stack, highlighting how Apache Parquet and Arrow enhance data storage and retrieval efficiency. The conversation delves into the challenges of data immutability and management, while also discussing Flight's role in simplifying data transfer. Looking ahead, Andrew envisions evolving trends in database technologies, paving the way for innovative solutions in analytics.
56:48
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Quick takeaways
- The FDAP stack, integrating Apache Arrow, Parquet, Flight, and Data Fusion, revolutionizes modern OLAP database systems by enhancing performance and efficiency.
- Data Fusion enables flexible SQL processing and custom query languages while optimizing execution through its extendable architecture for varied use cases.
Deep dives
Introduction to Data Fusion and the FDAP Stack
Data Fusion represents a significant advancement in database design by utilizing the FDAP stack, which comprises Apache Arrow, Apache Parquet, Apache Arrow Flight, and Data Fusion itself. This stack aims to improve analytical workloads by providing high performance and efficiency during data processing. The intention behind developing the FDAP stack was to address the limitations of traditional analytical systems, particularly their reliance on legacy database technologies that fall short in today's data-intensive environments. By integrating these components, developers can leverage a shared framework that streamlines both storage and processing functionalities essential for handling massive datasets.
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