This document provides an overview of a data analytics session covering big data architecture, connecting and extracting data from storage, traditional processing with a bank use case, Hadoop-HDFS solutions, and HDFS working. The key topics covered include big data architecture layers, structured and unstructured data extraction, comparisons of storage media, traditional versus Hadoop approaches, HDFS basics including blocks and replication across nodes. The session aims to help learners understand efficient analytics systems for handling large and diverse data sources.