Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...
Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...
Graph databases are the fastest growing category in all of data management, according to DB-Engines.com, a database consultancy. Since seeing early adoption by companies including Twitter, Facebook ...
Over the past decade, we’ve seen a wave of diversification followed by consolidation in database technologies. Relational databases such as Oracle, MySQL, and SQL Server completely dominated ...
One technology experiencing a kind of renaissance is the graph database, which has existed for years but is finding new relevance in current cybersecurity contexts. (NicoElNino/Getty Images) Spurred ...
A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...
Today Objectivity announced a new version of its proprietary graph database InfiniteGraph, which now includes a plugin framework and support for the common graph database standard Gremlin. Graph ...
One of the great things about the database market is that there are many different kinds of data and the problems that need to be addressed to store, organize, and query that data are also increasing ...
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