Chapter 6 of “Cryptocurrency Market Forecasting with Catboost Models”
examines various strategies for optimizing big data handling in the context of modern
data processing and storage. The chapter explores the fundamentals of data processing
techniques, the role of machine learning in enhancing data processing, effective data
storage solutions, and the integration of distributed computing frameworks. It aims to
provide insights into creating efficient, scalable, and robust systems for handling the
vast amounts of data typical in cryptocurrency market analysis.
Keywords: Big data, Cryptocurrency forecasting, Data processing, Data storage, Distributed computing, Data compression, Data indexing, Machine learning, Performance optimization.
