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Amazon EMR

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Healthcare Interoperability: End-to-End Streaming FHIR Pipelines With Databricks & Redox

Redox & Databricks direct integration can streamline your interoperability workflows from responding in record time to preauthorization requests to letting attending physicians know about a change in risk for sepsis and readmission in near real time from ADTs. Data engineers will learn how to create fully-streaming ETL pipelines for ingesting, parsing and acting on insights from Redox FHIR bundles delivered directly to Unity Catalog volumes. Once available in the Lakehouse, AI/BI Dashboards and Agentic Frameworks help write FHIR messages back to Redox for direct push down to EMR systems. Parsing FHIR bundle resources has never been easier with SQL combined with the new VARIANT data type in Delta and streaming table creation against Serverless DBSQL Warehouses. We'll also use Databricks accelerators dbignite and redoxwrite for writing and posting FHIR bundles back to Redox integrated EMRs and we'll extend AI/BI with Unity Catalog SQL UDFs and the Redox API for use in Genie.

Iceberg Table Format Adoption and Unified Metadata Catalog Implementation in Lakehouse Platform

DoorDash Data organization actively adopts LakeHouse paradigm. This presentation describes the methodology which allows to migrate the classic Data Warehouse and Data Lake platforms to unified LakeHouse solution.The objective of this effort include Elimination of excessive data movement.Seamless integration and consolidation of the query engine layers, including Snowflake, Databricks, EMR and Trino.Query performance optimization.Abstracting away complexity of underlying storage layers and table formatsStrategic and justified decision on the Unified Metadata catalog used across varios compute platforms

As global data privacy regulations tighten, balancing user data protection with maximizing its business value is crucial.This presentation explores how integrating Databricks into our connected-vehicle data platform enhances both governance and business outcomes. We’ll highlight a case where migrating from EMR to Databricks improved deletion performance and cut costs by 99% with Delta Lake. This shift not only ensures compliance with data-privacy regulations but also maximizes the potential of connected-vehicle data. We are developing a platform that balances compliance with business value and sets a global standard for data usage, inviting partners to join us in building a secure, efficient mobility ecosystem.