Session 1 begins with exploration of the historical evolution, key concepts, and definitions pertaining to big data. Session 2 covers different models for data storage including NoSQL, graph databases, and distributed file systems. Session 3 discusses the conclusion of the algorithms content including an overview of the field of machine learning.