WHERE NEW DATABASE TECHNOLOGIES FIT INTO THE ENTERPRISE

WHERE NEW DATABASE TECHNOLOGIES FIT INTO THE ENTERPRISE

1. 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.

2. SPECIAL PROJECTS:

   • the open source hadoop framework provides a cost-effective test bed for experimentation whith datasets,enabling greater innovation with little additional cost.

3. Many projects taking place around enterprises are typically led by non-technical business managers and professionals,and thus need to be as simple and intuitive to use as possible.

4. REAL -TIME OR SUB- SECOND PROCESSING AND RESPONSE REQUIREMENTS

   • For low-latency requirequirements,such as sensitive financial applications,enterprises are turning to in-memory databases,in which data is sent to random access memory spaces of pcs or servers.

5. UNSTRUCTURED DATA ANALYTICS:

   • One of the hallmarks of big data is the amount of unstructured,user-and machine-generated.

6. DEVELOPER RESOURCES (CONFIGURATION INFORMATION)

   • As with it operational data,it professionals need databases they can quickly call up and deploy.

7. ECOMMERCE APPLICATIONS

   • Nosql key-value store databases,in conjunction with back end relational databases for payment transaction processing,are an effective comvination

8. PERIPHERAL-BRANCH OFFICE SUPPORT

   • Branch offices typically require small footprint databases that synch up whith a central data environment,or,conversely,access via the network to a central database.

9. EMBEDDED DEVICES AND APPLICATIONS

   • Remote devices such as kiosks,sensors, or point of sale terminals require databases that can run remotely, require little maintenance,are highly secure,and are untethered to a central data environment.

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