What Is Data Masking?

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Data masking is like a magic trick that makes sensitive information disappear. It's like that thing you do when your mom comes into the room, pretending you're not watching porn. You know what I'm talking about: you move fast and hope she doesn't notice what's on the screen. Instead of watching porn, you're protecting customer data by making it look like something else. Data masking is converting sure statistics factors inside a statistics keep in order that the shape stays comparable simultaneously as the records are altered to shield touchy records. Data masking guarantees that touchy patron records are unavailable past the authorized manufacturing environment. This is especially common in situations like user training and software testing. Data masking is a clever way to get the best of both worlds: automated development and testing with the security of sensitive data. If you're a bank and you've outsourced some development to a foreign company, it's illegal for you to send customer information outside of your own country. Even if the company is in another country, they're still bound by your laws, and it's not like they're going to change their laws just because they want to work with you. So how do you get around this? Using data masking techniques, you can test the software with data similar to what would be experienced in the live production environment. This allows for streamlined development while keeping all sensitive information safe and secure. When you're trying to hide the fact that you've been tampering with data, it's always best to go all out. If you want to ensure your data is safe from prying eyes and curious minds, then you need to take it one step further and encrypt it. Data masking is a process that involves changing the values in a database so that they can't be identified or re-engineered. It ensures that the original values are not compromised and keeps your business safe from hackers, spies, and other nefarious types who might want to steal your data.

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Related Terms by Data Management

Data Vaulting

Data vaulting is like having a super-secret, ultra-safe subterranean vault to keep your precious data. A data vault is used to preserve valuable data in the same manner as a traditional vault to store valuable items such as gems and money. In the field of computer science, "data vaulting" refers to the practice of backing up and storing data in an off-site location that is both safe and distant. This helps to secure the data against calamities such as fire or water as well as theft, much like a vault protects precious things from theft and other threats. Data vaulting's "off-site storage" is crucial. Off-site storage is like storing essential assets in a vault in a distant city from where they are used. This helps safeguard the data from calamities that may occur locally and minimizes the likelihood of losing data. The phrase "incremental backup" is another significant and crucial technical buzzword. Instead of backing up the complete data set, incremental backup copies only the parts of the data that have been modified since the last time it was backed up. This helps save time and storage space, just as you only need to store newly valuable goods in the vault rather than all of the items each time, similar to how you only need to store freshly valuable items in the vault. Safeguarding data in a data vault is an essential part of any disaster recovery and business continuity strategy. Data vaulting helps safeguard precious data in the same way as a vault protects valuable objects. This enables businesses to swiftly recover from disasters and reduces the amount of downtime they experience. Consequently, consider using data vaulting to ensure your sensitive information's safety! It is comparable to possessing a top-secret, extremely secure, underground vault for sensitive data, replete with off-site storage and incremental backups. Have faith in us; your data will be grateful.

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Data Brokering

Data brokering has hit the big time. It's creating buzz, controversy, and even a few scandals as companies mine and sell information about how people spend money. Don't you have to hand your wallet to a data broker? There are many ways to Defense yourself from these businesses who want your information and earn profits from it later. Data brokering is a collaborative process involving the right data sets to address a business problem. It requires expertise, domain knowledge, and the ability to navigate different datasets to find the ones that have the information needed to solve a particular issue. It may require data cleansing to make the information most valuable and easily understood. Providers make their data available to other businesses in the data brokering model. Data consumers can search for data that meets their requirements. Once the information is selected, it is downloaded and used for a specific business objective. Data brokering is a collaborative process across industries, countries, and cultures. Companies that offer data to other businesses are called data brokers. Data brokers must consider the laws and regulations that apply to their data. They must also consider the technical requirements of the data consumers using different systems and technologies. Data brokers must also create a system that enables other businesses to access their offered data. Data brokering is not a one-time process; it is an ongoing process that requires continuous updating and maintenance. The report then provides examples of data brokering, such as purchasing data from a pollster and selling it to a political campaign. The rest of the piece explores the implications of data brokering for businesses and consumers and some real-life examples of data brokering in practice. Most of us must realize how much our data is collected, sold, and used by companies to formulate targeted advertising. A glimpse into the lucrative world of data brokering illustrates how much information about us is being bought and sold.

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Digital Video Broadcasting-Satellite Second Generation (DVB-S2)

There is a new standard in town, and the digital standard is here to stay. Digital Video Broadcasting-Satellite Second Generation (DVB-S2) has been around since 2003, and it's finally picking up steam with broadcasters and consumers alike. Its predecessor, DVB-S (the first generation of satellite digital television), debuted in the mid-'90s and was formally adopted in 1998 by the European Telecommunications Standards Institute (ETSI). Now we're moving on to the next generation of digital broadcasting: DVB-S2. What makes this new technology so unique? It's not just faster than the old one; it's also more reliable and flexible. You can expect higher data rates, better channel capacity, improved error correction capabilities and, most importantly, better picture quality! The DVB-S2 standard provides specifications for delivering high-definition and ultra-high-definition television (HDTV and UHDTV) video and audio over satellite and cable networks in the form of a standardized "satellite box" or set-top box or a high-end residential gateway. The standard is designed to be extensible to deliver new services such as 3G/ LTE mobile, IPTV, and OTT content. The DVB-S2 standard was ratified by the ETSI in March 2005 and published in October of that year. The measure was expected to be implemented in equipment by manufacturers in the second quarter of 2006. The DVB-S is like the first-generation iPhone. It was revolutionary, changed everything, and everyone wanted to get their hands on it. Then, after about a decade of using that same old technology, we were ready for something new: the second-generation iPhone with the glass screen and facial recognition that makes all your friends jealous when they see you using it. The DVB-S2 is beautiful, sleek, and fast like that second-generation iPhone. The only problem is that it needs to be entirely out (like the second-generation iPhone).

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Trending Definitions

Cipher

People have been sending messages to one another for generations using a secret code called a cipher. Ciphers are designed to ensure that no one else can decipher what the sender is saying. It is as if you are communicating in a foreign language that can be understood by no one other than the individual to whom you are giving the message. In the past, individuals would convey confidential communications by employing straightforward cyphers, such as changing the order of the letters in a message. As an illustration, you could move every letter in a message ahead by one position, transforming "hello" into "ifmmp". To comprehend what you are saying, the person receiving the message must move the letters backward by one position. These days, cyphers are far more intricate than they were in the past and use mathematical methods to scramble and decode information. They use cyphers such as substitution cyphers, in which one letter is changed for another, and transposition cyphers, in which the characters of a message are rearranged in a new sequence. Both of these cyphers are used to decipher the messages. Ciphers have a wide range of applications, one of which is to ensure the privacy of sensitive data pertaining to a company's finances or an organization's military operations. For instance, when you purchase online, the information you enter is encrypted with a cypher so that hackers cannot read it. This protects the information from being stolen. The cryptographic hash function is an example of a different kind of encryption. This particular kind of cypher transforms a message into a string of characters known as a hash, which has a predetermined length. This hash may then be used to verify the integrity of the message, as any alteration to the content, no matter how small, will result in an entirely new hash.

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Model View Controller (MVC)

Model View Controller, also known as MVC, is a design paradigm used in the programming of computer programs. It is a strategy to differentiate between the data model, the processing management, and the user interface. It achieves a clean separation between the graphical interface shown to the user and the code responsible for managing the user's activities. This endeavor aims to provide a structure to enforce a better and more accurate design. Using Model View Controller (MVC) construction, applications can be more easily segmented into logical components. In layman's words, this approach splits interface and business logic responsibilities. The efficiency of the application is increased thanks to this architecture. The model is meant to symbolize a one-of-a-kind entity, which may consist of a singular thing but is more likely to be a framework. The person and the object's data are connected identically one-to-one manner. It is the model's responsibility to respond to questions posed by the perspective concerning the condition or state of the model. Only within the model, where it belongs, does the data processing occur, guaranteeing that the data within the model are consistent. The view is used to display the pictorial representation of the user interface to the user. It is possible to emphasize some aspects of the model while filtering out others. It does so by representing the input and output data in an interface using various components such as menus, dialogue windows, and push buttons, among other things. The view examines the model through the controller to get an idea of the current state of the application objects. The controller connects the user interface (view) and the application processing algorithms, which acts as a connection between the two (model). The controller calls the model methods to retrieve information about the application object, modify the object's condition, and communicate this change to the display. The controller allows the user to make adjustments and view the effects of those adjustments.

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Component Load Balancing (CLB)

The heat that is produced by your hair straightener is the result of a process that is known as component load balancing or CLB for short. Alternatively, the technology alleviates the strain on your computer to guarantee that everything works as it should. The CLB technique for load balancing is exclusive to the COM and COM+ protocols. It offers you the option to balance the number of COM and COM+ components hosted on each server so that the demand on all servers is the same. This is accomplished by allowing you to balance the number of components hosted on each server. In addition, it allows customers to choose which servers will service requests from clients, allowing them to control the location, either geographically or logically, from which requests originate. This can be accomplished by enabling customers to choose which servers will service requests. The following example illustrates how CLB may be utilized to distribute the workload over many servers: A specific application uses three servers, each given a different name and referred to as Server A, Server B, and Server C, respectively. CLB needs to know which one is its primary server to work successfully with this application. Due to this, CLB will be able to send any inquiries regarding this specific application to the primary server first before sending them to any other servers. The other two servers can be used as backup systems if the primary server has trouble. This is possible because they are always brought up to date with the most recent information that is stored on the primary server. To put it another way, CLB makes it possible for you to do jobs more efficiently and timely. This will result in you spending less time waiting for your computer to do the activity you have requested, more time actually getting things done, and less time worrying about the risk that your computer will crash at any given moment.

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