The Coming Merger of Blockchain and Knowledge Graphs

Graph databases and knowledge graphs, in particular, have seen an uptick in interest among CIOs, digital transformation managers and others in enterprise circles. Some of this has come as data warehousing and data lake technologies have not shown the anticipated bringing together of all data within a company. This is due in part to a number of untenable assumptions, not least of which being that the relational model itself is sufficient to capture the rich, complex metadata that must be associated with properties that need to be in place to be useful. Column headers are often seen as an afterthought, when in fact those column headers are essential to converting data into knowledge. Graph databases work by using a few basic principles.