Latest research in Big Data Forensic Analysis focuses on leveraging advanced technologies such as machine learning and artificial intelligence to enhance the collection, processing, and analysis of vast volumes of digital evidence. Studies emphasize automated frameworks that can identify hidden patterns, detect anomalies, and support predictive risk assessment in large-scale datasets, addressing challenges related to data heterogeneity, volume, and velocity. Research also highlights security and privacy considerations in big data analytics to maintain the integrity, confidentiality, and admissibility of forensic evidence. Overall, these advancements aim to provide efficient, scalable, and accurate methodologies for investigating complex digital environments and improving the effectiveness of forensic investigations.