WHERE NEW DATABASE TECHNOLOGIES FIT INTO THE ENTERPRISE

Victor Romero
Mind Map by Victor Romero, updated more than 1 year ago
Victor Romero
Created by Victor Romero about 6 years ago
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Mapa mental Databases

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WHERE NEW DATABASE TECHNOLOGIES FIT INTO THE ENTERPRISE
  1. IT OPERATIONAL DATA (LOGS,SYSTEMS MONITORING):
    1. It professionals need databases they can quickly spin up while they are in the midst of writing,testing or deploying code.
    2. SPECIAL PROJECTS:
      1. the open source hadoop framework provides a cost-effective test bed for experimentation whith datasets,enabling greater innovation with little additional cost.
      2. 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.
        1. REAL -TIME OR SUB- SECOND PROCESSING AND RESPONSE REQUIREMENTS
          1. 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.
          2. UNSTRUCTURED DATA ANALYTICS:
            1. One of the hallmarks of big data is the amount of unstructured,user-and machine-generated.
            2. DEVELOPER RESOURCES (CONFIGURATION INFORMATION)
              1. As with it operational data,it professionals need databases they can quickly call up and deploy.
              2. ECOMMERCE APPLICATIONS
                1. Nosql key-value store databases,in conjunction with back end relational databases for payment transaction processing,are an effective comvination
                2. PERIPHERAL-BRANCH OFFICE SUPPORT
                  1. 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.
                  2. EMBEDDED DEVICES AND APPLICATIONS
                    1. 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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