Covers direct-mapped and annex caches in computer architecture, explaining cache structure, access patterns, hit rates, and latency calculations.
Explores the evolution and taxonomy of memories, focusing on SRAM and DRAM differences, memory layout, and functional taxonomy.
Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Explores storage management challenges in transitioning to data lakes, addressing software and hardware heterogeneity, unified storage design, and performance optimization.
