Traditional databases are based on the assumption that the context of the data is known before it is stored. They therefore start with a model of the meanings and relationships of the data as defined by its creators. Schemaless data stores avoid such structuring, preferring to push the identification of context and structure onto the users of the raw data. Both approaches have known advantages and disadvantages. And neither works the way our brains do. Our brains have neither predefined schemas nor large data sets. We actually build associations between facts and retrieve and process information bangladesh telegram screening through those associations.
CortexDB, as the name suggests, replicates this cognitive/associative approach, using traditional software - a document store combined with an inverted 6NF index - that allows all data "facts" and their context to be directly and quickly located based on their value. I call this an Information Context Management System (ICMS). In addition to the advantage of using mature software, CortexDB thus also avoids the black box problems of modern artificial intelligence (AI) neural networks that cannot explain how they arrived at their conclusions.
This novel approach offers several key benefits. Data can be stored initially with little or no structure/context, allowing multiple, useful schemas to be discovered or developed over time based on usage. This "schema by usage pattern" leads to agile data modeling and application development, bridging the gap between "schema-on-write" and "schema-on-read." Supporting multiple schemas for the same bare data enables a reduction in the number of copies of data that must be stored and maintained. A prime example is the ability to move from separate operational and information systems to a single instance, sometimes referred to as Hybrid Transactional/Analytical Processing (HTAP) . As mentioned above, specific, high-impact digital transformation issues can be addressed, such as distributed data ownership and distillation of dirty data.