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Learn how Addepar leverages its massive $7 trillion private investment dataset to build scalable benchmarking solutions for alternative investments using the Databricks platform. Discover the architecture and implementation of Addepar Data Lakehouse (ADL), which processes millions of private fund investment cash flows through sophisticated data pipelines to create actionable private fund benchmarks. Explore the comprehensive data aggregation, filtering, and construction logic that dynamically updates client insights through Databricks job workflows, and understand how this derived dataset evolved through multiple iterations with investment strategists and academics using delta shared tables. Gain insights into the technical approach for coalescing cash flow activity against unique identifiers to construct meaningful benchmarks, and see how this seamless integration provides Addepar platform investors with valuable investment insights for their portfolio analysis.
