Cloud computing is an expression used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet. In science, cloud computing is a synonym for distributed computing over a network, and means the ability to run a program or application on many connected computers at the same time. The phrase also more commonly refers to network-based services, which appear to be provided by real server hardware, and are in fact served up by virtual hardware, simulated by software running on one or more real machines. Such virtual servers do not physically exist and can therefore be moved around and scaled up (or down) on the fly without affecting the end user - arguably, rather like a cloud.
The popularity of the term can be attributed to its use in marketing to sell hosted services in the sense of application service provisioning that run client server software on a remote location.Type your paragraph here.
Data engineering uses data as the means for understanding a process. For a more comprehensive introduction, see our White Paper on Data Engineering.
The data might be generated in many ways, or subset of the available data may be used. Data engineering uses data analysis techniques from statistics, machine learning, pattern recognition or neural networks, together with other technologies such as visualization, optimization, database systems, prototyping tools and knowledge elicitation.
The goal is to use the available data or generate more data, and to thereby understand the process being investigated. The process of analyzing the data, creating new analysis tools specifically for the task, and working with the domain experts is a key aspect of this engineering task. We will be using Bayesian data analysis methods (which occur throughout the different communities).
In imaging science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.
Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging.
Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them.
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too
Image processing basically includes the following three steps.
Importing the image with optical scanner or by digital photography.
Analyzing and manipulating the image which includes data compression and image enhancement and spotting patterns that are not to human eyes like satellite photographs.
Output is the last stage in which result can be altered image or report that is based on image analysis.
The two types of methods used for Image Processing are Analog and Digital Image Processing. Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs.
Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to area that has to be studied but on knowledge of analyst. Association is another important tool in image processing through visual techniques. So analysts apply a combination of personal knowledge and collateral data to image processing.
Digital Processing techniques help in manipulation of the digital images by using computers. As raw data from imaging sensors from satellite platform contains deficiencies. To get over such flaws and to get originality of information, it has to undergo various phases of processing.
The three general phases that all types of data have to undergo while using digital technique are Pre- processing, enhancement and display, information extraction.
Networking is the practice of linking two or more computing devices together for the purpose of sharing data. Networks are built with a mix of computer hardware and computer software. For Example, computer network is a group of computers connected to each other electronically. This means that the computers can "talk" to each other and that every computer in the network can send information to the others. Usually, this means that the speed of the connection is fast - faster than a normal connection to the Internet.
Fig Simple Network Diagram
One way to categorize the different types of computer network designs is by their scope or scale. For historical reasons, the networking industry refers to nearly every type of design as some kind of area network. Common examples of area network types are:
LAN - Local Area Network
WLAN - Wireless Local Area Network
WAN - Wide Area Network
MAN - Metropolitan Area Network
SAN - Storage Area Network, System Area Network, Server Area Network, or sometimes Small Area Network
CAN - Campus Area Network, Controller Area Network, or sometimes Cluster Area Network
PAN - Personal Area Network
DAN - Desk Area Network
LAN and WAN were the original categories of area networks, while the others have gradually emerged over many years of technology evolution.
Note that these network types are a separate concept from network topologies such as bus, ring and star.
Web & Information Security
Web sites are unfortunately prone to security risks. And so are any networks to which web servers are connected. Setting aside risks created by employee use or misuse of network resources, your web server and the site it hosts present you’re most serious sources of security risk.
Web servers by design open a window between your network and the world. The care taken with server maintenance, web application updates and your web site coding will define the size of that window, limit the kind of information that can pass through it and thus establish the degree of web security you will have.
Information security (IS) is designed to protect the confidentiality, integrity and availability of computer system data from those with malicious intentions. Confidentiality, integrity and availability are sometimes referred to as the CIA Triad of information security.
The protection of data against unauthorized access, Programs and data can be secured by issuing passwords and digital certificates to authorized users. However, passwords only validate that a correct number has been entered, not that it is the actual person. Digital certificates and biometric techniques (fingerprints, eyes, voice, etc.) provide a more secure method (see authentication). After a user has been authenticated, sensitive data can be encrypted to prevent eavesdropping
Information security, sometimes shortened to InfoSec, is the practice of defending information from unauthorized access, use, disclosure, disruption, modification, perusal, inspection, recording or destruction. It is a general term that can be used regardless of the form the data may take (electronic, physical, etc.
Information Security refers to the processes and methodologies which are designed and implemented to protect print, electronic, or any other form of confidential, private and sensitive information or data from unauthorized access, use, misuse, disclosure, destruction, modification, or disruption.
Information security means protecting information and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. The terms information security, computer security and information assurance are frequently used interchangeably.
These fields are interrelated and share the common goals of protecting the confidentiality, integrity and availability of information; however, there are some subtle differences between them. These differences lie primarily in the approach to the subject, the methodologies used, and the areas of concentration. Information security is concerned with the confidentiality, integrity and availability of data regardless of the form the data may take: electronic, print, or other forms.
In its most basic definition, information security means protecting information and information systems from unauthorized access, use, disruption, or destruction. The terms information security, computer security and information assurance are frequently used interchangeably.
Institutions of all sizes collect and store huge volumes of confidential information. The information may be about employees, customers, research, products or financial operations. Most of this information is collected, processed and stored on computers and transmitted across networks to other computers. If this information fell into the wrong hands, it could lead to lost business, law suits, identity theft or even bankruptcy of the business.
Information security has evolved significantly and grown even more important in recent years. From a career perspective, there are even more areas where a professional can work in the field. Some of the specialty areas within Information Security include network security, application and database security, security testing, information systems auditing, business continuity planning and digital forensics science, among others.
Information Security is simply the process of keeping information secure: protecting its availability, integrity, and privacy.
Information has been valuable since the dawn of mankind: e.g. where to find food, how to build shelter, etc. As access to computer stored data has increased, Information Security has become correspondingly important. In the past, most corporate assets were “hard” or physical: factories, buildings, land, raw materials, etc. Today far more assets are computer-stored information such as customer lists, proprietary formulas, marketing and sales information, and financial data. Some financial assets only exist as bits stored in various computers. Many businesses are solely based on information – the data IS the business.