The document discusses the significance of memory access in handling big data, emphasizing that optimal data structures and containers are crucial for performance. It highlights the advantages of using Python and libraries like NumPy and Numba for data computation, illustrating the efficiency improvements through examples and comparisons. The presentation concludes by stressing the importance of selecting appropriate data containers for effective big data management.