NEW DATABASE TECHNOLOGIES FIT IN TO THE ENTERPRISE

Felipe Monroy
Mind Map by Felipe Monroy, updated more than 1 year ago
Felipe Monroy
Created by Felipe Monroy about 5 years ago
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Mapa mental en ingles

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NEW DATABASE TECHNOLOGIES FIT IN TO THE ENTERPRISE
1 H ave we entered a new era of database specialization? After many years of relying on one-does-all databases, in which relational databases, or some variant thereof, were put to use for a variety of jobs—from transaction processing to departmental databases to web serving—enterprises are entering a new phase of specialization, in which different enterprise jobs call for specific databases with specific functions.
2 Core business functions and enterprise transaction processing: This is where the relational database still rules. Basic enterprise functions—payments, billing, tracking receipts, deliverables and payables—are best handled in industrial- class databases built to interface with all core enterprise applications.
3 Analytics and business intelligence: When it comes to analytics, the choice of database environment depends on the type of work being performed. Much of the unstructured data that comprises many analytics applications often reside within big data file systems, such as Hadoop. Thus, there’s an important role for NoSQL databases in these environments.
4 IT operational data (logs, systems monitoring): IT professionals need databases they can quickly spin up while they are in the midst of writing, testing or deploying code. For these purposes, they do not want to function as accidental DBAs—they need lightweight, quickly displayable databases. In times gone by, Microsoft Excel spreadsheets or Access databases served this role.
5 Unstructured data analytics: One of the hallmarks of big data is the amount of unstructured, user- and machine-generated information now being generated. For the most part, this data is beyond the reach of the relational database engines at the core of enterprises.
6 Web applications: Web applications generate a lot of session information, and for this purpose, NoSQL key-value databases may be the best bet, since they are simple and fast, operating close to internet time and quickly handling spikes in usage.
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