What Is Application Infrastructure Provider (AIP)?

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Application infrastructure providers (AIPs) are like that perfect friend who is always there for you and has your back, except in this case, it's not a person but a platform. APIs provide the computing and operational infrastructure for developing, deploying and managing enterprise-class applications. These applications include computing hardware, infrastructure operation and management software, network/Internet connectivity and power/cooling. What does this mean exactly? It implies that AIPs are your go-to resource when you need to get things done, and with their help, your team can focus on what matters most: creating innovative solutions that solve real problems! An AIP takes care of provisioning, upgrading, and maintenance of hardware for your software. It is a turnkey solution for enterprises to adopt cloud technology for improved efficiency. AIPs are best suited for enterprises with a high volume of data and high-end applications that are too resource-intensive for a private cloud to support. It also makes sense for companies that want to offload the responsibility of maintaining their data centers to an outside provider. APIs can provide a wide range of services, including data analytics, server software, and security. This type of cloud service gives enterprises the ability to consolidate their applications into one hosting provider. APIs also provide high availability and scalability, which can benefit enterprises with high data traffic levels. The infrastructure provider (AIP) is the guy you call when you're looking to get a new application up and running. Do you need a place to put your servers, storage, internetworking, monitoring and physical and logical security services? You've got it. Do you need computing/material resources dedicated to an application/client with complete control over the base operating system (OS) and installed/deployed applications?Gotcha covered. With an AIP, you can expect to get all this with just one call, and we'll even throw in a free lunch!

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Related Terms by IT Infrastructure

Information Resource Management (IRM)

Information resource management (IRM) is the management of records, information, or data sets as a resource. It can relate to either business or government goals and objectives. It is a broad term in IT that means different things to different people. Some people use it to manage information resources, while others consider it to collect and store all data types, including personal information. Additionally, IRM can help you keep and manage any information: audio, video, text-based documents, images, etcetera. Information resources can be broadly defined as data sets required for a specific function. Information resources are needed for every organization to function. They are necessary for every process, every decision, every action, and procedure. Information resources can be structured (numeric) and unstructured (non-numeric). Information resources can be either public or private. Information resources can be both in physical form, or they can be purely virtual. Information resources are precious and must be secured and preserved; they must be protected. IRM is the process or science of managing information resources to achieve an organization's desired goals and objectives. If you've ever been caught in a situation where you're wondering, "Where is that document?" then you know how vital information resource management (IRM) is. IRM involves identifying data as an asset, categorizing it and providing various types of active management. Experts describe IRM as managing the life cycle of data sets, from their creation to their use in IT architectures to archiving and eventually destroying non-permanent data. IRM can refer to either software resources, physical supplies and materials, or personnel managing information at any use stage. The goal of IRM is to ensure that valuable information is accessible to those who need it when they need it. IRM also helps users determine whether they need something before they store it electronically or on paper—saving money on unnecessary storage costs!

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In-Memory Analytics

What's the latest and greatest in the field of data analysis? In-Memory Analytics is what we are referring to. Imagine that, as you progress through a video game, your high score is recorded in a file. However, what if your high score wasn't written to a file but stored in the console's RAM? That's what In-Memory Analytics is all about, in a nutshell! Data in traditional data analysis is kept in a database, and each time it is to be analyzed, the data must be fetched from the database and loaded into memory. To analyze data quickly and efficiently, In-Memory Analytics loads it into RAM before processing it. Okay, time to dive into the weeds here. In-memory analytics' lightning-fast processing time can be attributed to using RAM (random-access memory) rather than traditional disc storage. It is substantially quicker to access data stored in RAM than on a conventional hard disc. Since time is of the essence in data analysis, In-Memory Analytics is the optimal choice for companies that need to evaluate massive amounts of data in real time. In-Memory Analytics is the way to go, for instance, if a stock trading corporation wishes to evaluate stock market data in real time and make decisions based on it. We can finally read your minds. "Won't it be too much to store all that information?" Now, here's the thing: today's computers have plenty of RAM, and In-Memory Analytics solutions are built to be highly efficient to store and analyze enormous volumes of data without impacting system resources. Not only that! Data can be updated instantly with In-Memory Analytics. Thus, the analysis can be continuously revised to account for any new information that may emerge from the stock market. That's awesome! In-Memory Analytics represents cutting edge of data analysis. It's quick, efficient, and can process such data in real time. In-Memory analytics is a great option for any company that needs to act swiftly based on the information gathered. In-Memory Analytics is one of several tools available to you for analyzing data. Using it properly can elevate your data analysis to the next level, but it will only work for some situations.

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Integration-Centric BPM

We are about to explain Integration-Centric Business Process Management. It is pretty neat. Business Process Management, abbreviated as BPM, is concerned with doing just that: managing and bettering company processes. In addition, Integration-Centric Business Process Management (BPM) goes above and beyond by emphasizing the importance of integrating various apps and systems into a unified process flow. Allow us to explain. By bridging the gap between disparate software and hardware, Integration-Centric Business Process Management facilitates efficient management of organizational operations. It's like the pinnacle of juggling, with various systems cooperating to increase productivity. Consider the following scenario: you own a retail internet company. You have a website, an inventory system, a payment gateway, and a transportation company. By combining disparate programs and databases, you can optimize your workflow with the help of Integration-Centric Business Process Management. Suppose a client decides to purchase from your online store. Information about the purchase is sent directly to the stock system, where it is checked for availability. If this is the case, the payment gateway is informed to begin processing the transaction. After the transaction is finalized, the shipping company is notified to deliver the merchandise. There is no human involvement; everything occurs mechanically. Hold on, and there's more where that came from! The versatility and flexibility of integration-focused business process management are other perks. When necessary, it can adapt to process modifications without compromising productivity. With Integration-Centric BPM, switching payment processors or delivery companies is a breeze. Now, let's get into the nitty-gritty details. Integration-Centric Business Process Management facilitates the interoperability of disparate software platforms by leveraging frameworks, application programming interfaces (APIs), and other integration tools. It can process various file types and communication protocols, facilitating the smooth exchange of information between computers. The best aspect is that Integration-Centric BPM can be implemented in various contexts. It is not restricted to online shopping or retail in general. It has numerous potential applications in the medical, financial, industrial, and other sectors. Integration-Centric Business Process Management is helpful for any industry that uses various software programs and systems. That sums up what Integration-Centric Business Process Management is all about. This is like the pinnacle of multiplexing, as it allows you to combine various processes into one easy-to-use program. It can be molded to fit a variety of settings and is applicable in many fields. Moreover, finding someone who doesn't admire a multitasker is hard.

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Trending Definitions

Real-Time Big Data

Big Data in real-time is like a wild animal that never stops growing and moving. Think of a huge herd of wild elephants, where each is a data point, and all of them are charging at you at top speed. That is Big Data in real-time! Real-Time Big Data is the huge amount of data created and processed in real-time. This means the data is being made, analyzed, and used within milliseconds or even microseconds. This is very important in finance, telecommunications, and online gaming, where speed is critical. To get this beast under control, you need the right tools and technology to process and analyze all that data. This is where terms like "distributed computing," "stream processing," and "complex event processing" come in. Distributed computing means processing data is spread over several servers so that the work can be done quickly and the load can be shared. Stream processing is when data is processed as it comes in instead of being stored and processed in batches. Complex event processing involves looking at many events simultaneously to find patterns and take action. The storage of data is another essential part of Real-Time Big Data. With so much data being created, the old ways of storing it won't work anymore. This is where NoSQL databases like MongoDB and Cassandra come in handy. These databases are made to handle a lot of unstructured data and grow and shrink as needed. Lastly, Big Data in real-time also needs to be shown in real-time. The data needs to be shown in a way that makes it easy to understand and quick to act on. This is where dashboards and real-time graphs come in. They let decision-makers see what's going on with the data in real-time so they can make smart choices. Real-Time Big Data is a wild and untamed beast. However, it can be tamed and used to drive business value with the right tools and technology. Distributed computing, stream processing, complex event processing, scalable data storage, and real-time visualization are all needed to handle the huge amounts of data that are created in real-time and turn them into insights that can be used.

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Hash List

Hash lists are the best way to keep track of your data. If you have trouble remembering all the details about a project or can't remember what you ate for breakfast once in college, hash lists are the answer. They're not just for data analysis—they can help you remember everything from the weather forecast on June 13th to the name of that one guy who always wears ties with cats on them at work. Hash lists are great for keeping track of your life because they're a way to organize information and make it easily accessible so that when you need to find something quickly, you don't have to worry about digging through piles of papers or scrolling through endless email threads. A hash is a unique string of numbers and letters representing a more extensive information set. This makes it easier to store, find, and compare information. In a simple sense, a hash is like a mathematical fingerprint. A large amount of data can be hashed into something much smaller and easier to work with. This is useful for storing information on hard drives or databases because it lets you keep track of your data without holding the entire collection all at once. A hash list shows how the different hashes relate to each other: how they're connected through their values. For example, if there are ten first names and ten last names in a database table, hashed into ten integers (like 0-9), then those integers will form the basis for your hash list. Hash lists are a great way to protect your data from nefarious hackers. While hashes can work great on their own, they're even better when you group them as part of a hash list. Why? Because it makes it easier for you to spot fake or illegitimate data! When you have many data, it can be challenging to know if any of it is compromised. That's where hash lists come in. You can ensure your system stays secure and protected by analyzing the data blocks through a hash list segmentation.

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CBASIC

If you're a programmer, you've assumably heard of BASIC. And suppose you've listened to BASIC. In that case, you probably also know about CBASIC: a programming language that's been about since the 1970s and has taken on a life of its own as one of the most iconic programming languages ever created. CBASIC is based on the original Beginner's All-Purpose Symbolic Instruction Code (BASIC) general-purpose language designed in the 1960s by John George Kemeny and Thomas Eugene Kurtz at Dartmouth College but, what makes CBASIC so unique? Aside from being one of the first compiled programming languages ever developed. which means that it's faster than many other languages because it doesn't have to be processed at runtime—it also has a quirky history. Some people say that it was designed specifically for kids! It's not easy to get a language named after you. But when you're the original BASIC developer, it can happen. Dr. John G. Kemeny and Dr. Thomas E. Kurtz at Dartmouth College 1964 developed BASIC. The name is an acronym for Beginner's All-Purpose Symbolic Instruction Code, which is pretty much exactly what the language did: it was designed so that users could use it to write computer programs with simple commands like "print" or "if" or "for". It seems like BASIC might have been a one-hit wonder—but then along came CBASIC! CBASIC was a version of BASIC that allowed programmers to create graphics on their computers by using color and ASCII characters. Still, it also supported sound capabilities and could run on different operating systems like CP/M or MS-DOS. CBASIC wasn't just about fun and games—it had actual uses in the business world too! It was used for corporate programming jobs because it was inexpensive and easy to learn, especially for people who didn't have any prior programming experience (like yours truly).

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