Real-time Intelligence: Data Challenges and Hardware Evolution

This lecture by Prof. Anastasia Ailamaki explores the challenges of data management in the era of big data, emphasizing the importance of real-time intelligence. Topics covered include data workload evolution, data preparation, data veracity, hardware efficiency, and hybrid transactional-analytical processing. The lecture also delves into the impact of data variety, efficient query processing, and the need for harmonizing data formats. Additionally, it discusses the role of hardware heterogeneity, just-in-time query processing, and the importance of accurate and fast insights from big data.