Data access and storage systems

Every data science project requires a data structure for its implementation and application to achieve business objectives. In this block of posts entitled: Data access and storage systems, I will explain the different data access, storage and backup architectures. For completing everything related to data architectures, I will allocate another two blocks of posts. A second block will address everything about Data Base Management Systems and a last third block will deal with Big Data.

Table of Contents

  1. Data organization: Basic introduction on how data went from being stored in paper files to digital files stored on a computer.
  2. Sequential access files: The sequential access files was the first solution for data digitization. Here you can learn its main features and limitations.
  3. Random access files: Their main features and structure. Making an example exercise of a random access file with Visual Basic.
  4. Indexed access: Compeling explanation of how indexed access works. Adding some examples of indexed access files, using dense index and sparse index.
  5. Tree indexing: Introduction to indexing in data tree structures. Brief explanation of the data tree structures.