What Is Data Availability?

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If data were people, and those people were at a buffet, then data availability would be like the chocolate cake. You know what it will taste like before you take a bite, but then, who cares? Just keep eating until all the chocolate goodness is gone. Data availability ensures that data is available when and where it's needed. It can be challenging to ensure that your information is available, whether sitting on a server or a user's laptop or smartphone. To ensure this happens, you need to know who has the data they need, where they are and what they need to do with it next. A sophisticated data availability system enables organizations to plan effectively for real-time demand increases and appropriately scale resources. It is often confused with data durability, which is the capability of preserving data and not lost. Durability may be at the application level, but data availability is at the infrastructure level and focuses on ensuring that data is accessible by users. The best way to understand the difference between durability and availability is to think of data as a highway. Durability is like lane closure due to construction. You can drive your car on it, but it takes longer, it's less convenient, and you may have to take a different route. Availability is like a road closure due to a natural disaster. You can't drive your car on it, but it will be there when you need it next. It is a property of data that an authorized entity can access. It is a subset of the broader term "data integrity". In simple terms, if data is available, it can be retrieved with little or no interruption and loss of information; it is perceived as having been preserved through time without loss or corruption. If data is unavailable, the consequences can range from inconvenience and frustration to complete disaster, depending on the importance of the information in question. Therefore, the goal you face as software developers is to ensure that your application delivers data available 24 hours a day throughout its useful life.

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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

Database Object

Hello there, data nerds!" Are you prepared to study the fundamentals of database management? Database objects are what we are referring to here. A database is an ample storage space for all your data and information. How do you know where to begin when faced with so much information? This is where DAOs, or Database Objects, come into play. They serve as virtual file folders, facilitating the filing and retrieval of statements. Database objects come in various forms, each serving a specific function. Take the Table as an illustration; it functions similarly to a spreadsheet by organizing data into rows and columns. The View is a visual representation of a table's data. You can filter out irrelevant information and focus on the specific data you need. Stored Procedures are the next in line, and they function similarly to mini-programs in that they can be saved in the database. Stored procedures can eliminate the need for repetitive or complex manual work. Furthermore, the Trigger is a handy alarm system that sounds whenever a specific condition is met in your database. Business rules and data integrity checks are examples of how triggers can be used. Remember the Index, which acts as a road map for your information. So that you don't have to manually search the entire database every time you need some information, this feature facilitates the database's ability to quickly locate the data you seek. Now, you must know a few technical terms that will be used frequently. Data Definition Language (DDL) is one example; it's the collection of statements used to manage Database Objects (such as creating, updating, and removing them). In addition, there is "Data Manipulation Language" (DML), a set of commands for managing the objects and the data contained within them. "Data Control Language" (DCL) is the collection of commands used to manage who has access to what in your database. There you have it! Database Objects allow you to make sense of your data and information, serving as the fundamental units of any database management system. Learning your way around Database Objects is a must whether you're an experienced pro or just getting started. And with that, database explorers, we bid you farewell.

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Endpoint Device

Are you ready to dive into the world of Endpoint Devices? Because we are here to break down the tech jargon and make it fun! So, let's start with the basics - an endpoint device connects to a network. It can be a computer, laptop, tablet, smartphone, or even a smart fridge. As long as it's connected to a network, it's considered an endpoint device. Why are endpoint devices so important, you may ask? Well, think of it like this - they're the gatekeepers to your network. They act as the entry and exit points to your network, and all the data that flows in and out goes through these devices. This is where it gets technical - endpoint devices need to be protected because they're vulnerable to cyber threats like malware, viruses, and hacking attempts. This is where endpoint security comes into play. Endpoint security is a set of tools and techniques to secure endpoint devices from these threats. This can include software such as antivirus and anti-malware programs, firewalls, and even physical security measures like password protection and biometric authentication. Here's a fun fact: endpoint security is a crucial part of overall network security. In other words, if your endpoint devices aren't secure, your whole network is at risk! So, let's say you've got endpoint security in place, and your endpoint devices are protected from threats. What else do you need to keep in mind? Well, endpoint management is also a critical aspect to consider. This involves managing and maintaining endpoint devices, ensuring they have the latest software updates and security patches, and ensuring they're all configured correctly. And last but not least, let's talk about endpoint monitoring. This is the process of keeping an eye on endpoint devices, monitoring their activity, and detecting any unusual or suspicious behavior. This can help you catch potential security threats before they do any harm. In conclusion, endpoint devices are essential components of a network and play a crucial role in protecting the network from cyber threats. Endpoint security, management, and monitoring are all critical aspects to consider when keeping your endpoint devices and network secure. So there you have it, a fun and quirky explanation of endpoint devices. I hope you enjoyed this technical journey and learned something new today!

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Data Center Layout

Data center layout is the way you lay out your data center. It may seem easy to say that, but we are here trying to simplify things, but subtly be warned. It defines how the data center looks and feels and what it's like to walk around. Data centers are often built on a physical layout, with raised floors that allow cables to be run underneath them and overhead racks for servers. They're also sometimes designed using a logical structure. Instead of having rows of servers with raised floors above them, they have rows of servers with no physical separation. This is called server virtualization. The data center layout is not just a floor plan. It's the visual representation of your data center and how you want to implement it. Before implementing the physical design, you will most likely have to create a data center map or diagram that describes how everything will be laid out. This is also called the data center floor layout because it shows where everything will be physically located in the building. It's essential to ensure everything is marked in the layout so everyone understands where each piece of equipment goes and what needs to happen. The data center is the heart of your business. It's where you store all your data, so keeping it safe and running smoothly is essential. The key to that is planning. The best way to ensure your data center runs smoothly is to plan. If you know where to put everything from servers and storage infrastructure to cooling towers and air conditioners, you can ensure it gets done right the first time. It also helps plan the operational implementation of other non-functional resources, such as positioning cooling towers or air conditioners close to the server rooms and reducing cabling requirements by deploying servers and storage infrastructure close to each other.

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