With the collection and aggregation of ever greater amounts of data, so-called Big Data, comes a growing realization that the scalability of relational databases is limited. For many organizations, relational databases have already given way to so-called NoSQL, or distributed databases. However, while security for relational databases is relatively well understood (e.g., integrated encryption...
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With the collection and aggregation of ever greater amounts of data, so-called Big Data, comes a growing realization that the scalability of relational databases is limited. For many organizations, relational databases have already given way to so-called NoSQL, or distributed databases. However, while security for relational databases is relatively well understood (e.g., integrated encryption capabilities, purpose-built firewalls and vulnerability assessment tools available), the same is not true for NoSQL databases. In fact, quite the opposite. Most Big Data platforms started as in-house projects and security is non-existent (Cassandra – Facebook, Hadoop – derived from GFS). Security-related features are slowly being added now.