Infrastructure as a Service PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the Infrastructure as a Service predictive analytics are Serverless computing, Cloud Foundry, Cgroups. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are eHospital Systems, Cloud Foundry, Heroku.
  • By far most employment needs are found in the Virtualization, NoSQL, High Availability technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Virtualization, High Availability, MongoDB.
  • VirtualBox, iCloud, MongoDB lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Cloud computing security, Cloud Security Alliance, Platform as a service.
  • These three technologies have the most active advertisers: Cloud database, Cloud management, Cloud computing security.
  • In patents, these three technologies have the most coverage Virtualization, Virtual machines, High Availability.
  • The most publications are available for Virtual machines, Relational database management system, Software as a service.
  • Instruction and courseware availability is highest in these technologies: iCloud, CUDA, VirtualBox.

The Infrastructure as a Service report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Infrastructure as a Service’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

002730 – Serverless computing
001547 – Cloud Foundry
001188 – Cgroups
000833 – NoSQL
000708 – HDFS
000675 – Cloud engineering
000623 – OpenShift
000621 – Platform as a service
000511 – Object storage
000433 – OpenStack
000419 – ServSuite
000412 – Block storage
000399 – NCR Silver
000398 – Fog computing
000391 – Redis
000378 – Security engineering
000378 – Microsoft Azure
000376 – Data visualization
000350 – Amazon Web Services
000348 – Hypervisor
000344 – ServiceNow
000343 – Cloud database
000336 – Cloud API
000322 – Community cloud
000321 – IaaS
000314 – SoftLayer
000298 – OpenACC
000284 – Graph database
000282 – Libvirt
000278 – Mobile backend as a service
000278 – Freshservice
000268 – Multicloud
000267 – Google for Work
000264 – Heroku
000255 – Rackspace
000255 – Key management
000249 – Platform engineering
000248 – Stream Processing
000247 – Google Apps for Work
000238 – Apache Cassandra
000232 – Cloud management
000203 – MongoDB
000202 – Smart Service
000194 – Google Drive
000184 – Oracle NoSQL Database
000183 – ServiceTitan
000180 – Relational database management system
000177 – Neo4j
000174 – LevelDB
000173 – Multitenancy
000171 – Google Now
000167 – Java (programming language)
000164 – Software as a service
000159 – VCloud
000150 – OVirt
000150 – Cloud storage
000146 – Edge computing
000141 – Apache HBase
000131 – Memcached
000128 – Code on demand
000123 – High Availability
000117 – Bluemix
000106 – Cloud computing issues
000104 – iCloud
000103 – Multiprocessing
000100 – CouchDB
000089 – Google Storage
000086 – Mendix
000081 – Hyper-V
000078 – Virtual machines
000077 – Cloud computing security
000076 – OrientDB
000075 – Contract Alert
000074 – Infinispan
000071 – CUDA
000070 – Cloud Security Alliance
000064 – Cloud research
000056 – Virtual appliance
000054 – Remote Support Software
000053 – MISD
000052 – Virtualization
000046 – Virtual Machine Manager
000043 – Oracle Coherence
000043 – Cilk
000043 – Amazon S3
000035 – Personal cloud
000031 – OutSystems
000031 – Iland
000030 – VirtualBox
000029 – OpenNebula
000023 – HP Cloud
000017 – Engine Yard
000017 – Carrier cloud
000013 – Mobile cloud computing
000013 – Information engineering
000012 – Erlang (programming language)
000011 – SISD
000000 – Zadara Storage
000000 – Tarantool
000000 – ServiceM8
000000 – ServiceBridge
000000 – Sandbox (Cloud)
000000 – Parallel LINQ
000000 – OrangeScape
000000 – Lightning Memory-Mapped Database
000000 – Libguestfs
000000 – Koofr
000000 – Jelastic
000000 – HorizonWeb
000000 – eHospital Systems
000000 – CloudSigma
000000 – Blockchain (database)
000000 – Ardoq


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