Building a Real-Time Art & Collectibles Data Insights Platform

As a growing SME in the Art & Collectibles industry, we face challenges in efficiently analyzing vast amounts of data from diverse sources, including sales transactions, customer interactions, and online market trends. We require a robust data engineering solution to streamline our data processing capabilities, enabling real-time analytics and insights. The project involves designing and implementing a state-of-the-art data platform using Apache Kafka for event streaming, Spark for data processing, and Snowflake for data warehousing. The platform should also incorporate Airflow for orchestrating data workflows and dbt for transforming and modeling data. By integrating these technologies, we aim to enhance our decision-making processes, optimize inventory management, and personalize our customer engagement strategies. This initiative will provide us with a competitive edge in a rapidly evolving market, ensuring we remain at the forefront of the industry.