Big Data Management

We are in the 'Big Data' era - an extremely large amount of data is created every day. The world of data management has dramatically changed in the 'Big Data' era. This is primarily driven by multiple factors including cheaper storage costs, increasing availability of sensors, smart devices, social software, and availability of cloud computing infrastructure, and cheaper processing cost of large volumes of data due to dramatic advances in modern hardware (e.g., solid state disk, multicore CPUs, large memory). This seismic impact of big data has led to increasing demand in building scalable data infrastructures toward supporting real-world applications. This course aims to provide a broad understanding of big data and current technologies in managing and processing them. Key topics covered in this course include big data 5V's, memory hierarchy and its relation to big data systems, distributed storage and computation of big data, as well as NoSQL key-value stores. Upon completion of this course, you will learn to evaluate issues associated with big data management, learn how the data is stored in a distributed system and how queries and analytics run in parallel, and understand the design philosophy of real-world key-value stores.