Description: Analytics & Data Science
Analytics & Data Science
Perhaps the best place to start with comparing centralized and distributed DBMS instances is the architecture itself. As the names suggest, it is mostly a matter of whether the data resides in one physical location—not necessarily logical, as multiple volumes within a single location do not qualify as a distributed DBMS—or multiple locations with an underlying controller to bring it all together. It might be compared to disk RAID options, in which data on a storage system is mirrored or striped across multi
We can continue the RAID analogy in discussing replication and partitioning. Much like Distributed DBMS architecture, RAID storage allows disks to be seamlessly duplicated for high fault tolerance or the data itself to be written across multiple disks to increase storage capacity and throughput. In RAID 0, data is striped across multiple disks; this is the equivalent of DDMBS partitioning. All the nodes in a DDMBS store different parts of the complete database. This may be accomplished by horizontal partiti