Real-Time Data Integration and Analytics for Commercial Real Estate Portfolio Optimization

As a leading player in the commercial real estate industry, we manage an extensive portfolio that requires timely and precise data utilization for strategic investment decisions and operational efficiency. We aim to develop a robust data engineering solution that integrates disparate data sources into a centralized, real-time analytics platform. This solution will employ data mesh principles to ensure decentralized data ownership, while leveraging Apache Kafka for event streaming, and Databricks for enhancing analytics capabilities. We aim to utilize Apache Airflow for orchestrating complex workflows and dbt for data transformations. The integration with Snowflake or BigQuery will facilitate scalable data storage and processing. This project will enhance our ability to conduct predictive analytics and support decision-making processes with real-time insights, driving better portfolio performance. The outcome will empower our teams with the data observability necessary to detect anomalies and optimize asset management strategies efficiently.