This chapter provides a comprehensive roadmap of big data analytics in biostatistics and bioinformatics, from its historical development, current practices, and future directions. As a common goal for big data analytics, this chapter will focus on the introduction of the theory, methods, and applications covered in this book. It includes an overview of big data analytics in biostatistics and bioinformatics, statistical methods of Bayesian analysis and gene expression data, deep learning and neural network, clinical trials and survival analysis.