Big Data Applications: Analysis and Solutions

This lecture discusses the impact of big data in the digital era, focusing on the challenges and solutions for analyzing large datasets efficiently. It covers topics such as latency-sensitive applications like trending news queries, the use of query-caches, and alternative solutions like BlueCache and AQUOMAN. Additionally, it explores throughput-bound applications, graph analytics on big data, and the importance of HW accelerators and flash technology in reducing system costs. The lecture emphasizes the need for reorganizing computation to optimize performance and minimize latency in handling big data.