IT infrastructure is defined broadly as a set of IT components that are the foundation of an IT service: typically physical components (computer and networking hardware and facilities), but also various software and network components. The fields of IT management and IT service management rely on IT infrastructure, and the IT Infrastructure Library (ITIL) framework was developed as a set of best practices with regard to IT infrastructure.
Enterprise IT infrastructure typically refers to components required for the existence, operation and management of an enterprise IT environment. It can be internal to an organization and deployed within owned facilities, or deployed within a cloud computing system, or a combination thereof.
Network and Data Center Operations
Computer Network Operations (CNO) is a broad term that has both military and civilian application. Conventional wisdom is that information is power, and more and more of the information necessary to make decisions is digitized and conveyed over an ever-expanding network of computers and other electronic devices. CNOs are deliberate actions taken to leverage and optimize these networks to improve human endeavor and enterprise or, in warfare, to gain information superiority and deny the enemy this enabling capability.
Data Center support services for the data center can be generally defined as technical support, which provides assistance to help solve problems related to technology products. Technical support services for data centers help to address challenges with the servers, storage, software and networking equipment that constitute a data center, or the related processes involved in managing data center equipment. Data center support services can also include installing and configuring technical equipment. Consulting and integration services provide expertise and input to help organizations make strategic decisions and systems integrations. Technical consulting services provide guidance and expertise on the application of technology. This can include selecting or designing new technology, redesigning existing technology, migrating existing technology to a new environment, or integrating new technology into existing technology. Examples of technical consulting services specific to data center services might include selecting a new data center location, consolidation, virtualization, automation, redesigning data centers for cloud computing, implementing storage arrays, or incorporating offsite storage services into an existing network.
Database Administration (DBA)
DBA involves the use specialized software to store and organize data. Services may include capacity planning, installation, configuration, database design, migration, performance monitoring, security, troubleshooting, as well as backup and data recovery.
System Administration involves the upkeep, configuration, and reliable operation of computer systems; especially multi-user computers, such as servers. The system administrator seeks to ensure that the uptime, performance, resources, and security of the computers he or she manages meet the needs of the users, without exceeding a set budget when doing so.
To meet these needs, a system administrator may acquire, install, or upgrade computer components and software; provide routine automation; maintain security policies; troubleshoot; train or supervise staff; or offer technical support for projects.
Network engineering involves using information technology to make network systems for all employees to use. These data networks can include Local Area Networks (LANs), Wide Area Networks (WANs), intranets, and extranets.
Telecommunication is the transmission of signs, signals, messages, words, writings, images and sounds or information of any nature by wire, radio, optical or other electromagnetic systems. Telecommunication occurs when the exchange of information between communication participants includes the use of technology. It is transmitted either electrically over physical media, such as cables, or via electromagnetic radiation. Such transmission paths are often divided into communication channels which afford the advantages of multiplexing.
Video Teleconference (VTC)
VTC involves the use of this technology for a group or organizational meeting rather than for individuals, in a videoconference. Telepresence refers either to a high-quality video telephony system (where the goal is to create the illusion that remote participants are in the same room) or to meetup technology which goes beyond video into robotics (such as moving around the room or physically manipulating objects). VTC has also been called “visual collaboration” and is a type of groupware.
Mobile Solutions services involve the administration of mobile devices, such as smartphones, tablet computers, laptops and desktop computers. This is usually implemented with the use of a third party product that has management features for particular vendors of mobile devices.
Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. Big Data refers to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. Relational database management systems and desktop statistics and visualization-packages often have difficulty handling big data. The work may require massively parallel software running on tens, hundreds, or even thousands of servers. What counts as big data varies depends on the capabilities of the users and their tools, and expanding capabilities make this a moving target.
Data Analytics is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analytics has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
Data mining is a particular data analytic technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing on business information. In statistical applications data analytics can be divided into descriptive statistics, Exploratory Data Analysis (EDA), and Confirmatory Data Analysis (CDA). EDA focuses on discovering new features in the data and CDA on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All are varieties of data analysis. Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination.