What Is Ruby On Rails (RoR)?

TechDogs Avatar

Ruby on Rails (RoR) is the new kid on the block. It's not quite a veteran yet, but it's got some pretty impressive credentials. It's cross-platform, written in Ruby, and has a team of several individual contributors who investigate and further develop the framework. As a result of the hard work of these programmers, you can build Web applications much faster than you could before by minimizing the steps, time, and jargon involved in programming. RoR is a cross-platform Web application framework written in Ruby. This framework was authored by David Heinemeier Hansson and explored and further forwarded by a rail team of some individual contributors. RoR also allows a programmer to develop Web applications much faster by minimizing the steps, time and jargon involved in programming. It is achieved through "convention over configuration" and "associations". Convention over configuration means that instead of telling you how to run your application, you tell it what kind of files should exist in specific directories. It then figures out how to run your application based on those conventions. Associations refer to how RoR allows developers to create code that models real-world relationships between objects through their relationships with other things. Ruby on Rails is an open-source web framework that follows the model-view-controller (MVC) approach. The application logic is separated from the user interface, and RoR implements a popular technique called unobtrusive JavaScript to isolate the application functionality from the user Interface. Like any other modern framework, RoR implements a "convention over configuration" approach that seeks to reduce the number of decisions that programmers need to make. RoR consists of several packages: Active Record, Action Pack, Active Resource, Action Mailer and Active Support. Ruby on Rails is a programming language created in the late 90s. It was designed to make web development more straightforward, and it did just that. The language grew in popularity and soon became one of the most popular frameworks for creating web applications. But then something happened: It got even better!

TechDogs Logo

Related Terms by Software Development

Sentiment Analysis

Sentiment analysis is a lot like having the ability to discern minds, except it's done with computers. Opinion mining is a data mining subfield that utilizes unstructured text analysis to gauge consumer sentiment toward a brand, individual, or concept. Sentiment analysis is a technique for gleaning emotional data from online sources using NLP, computational linguistics, and text analysis. Social media sites and other online forums where users post their thoughts and observations on various subjects are familiar places to find this data. Sentiment analysis uses complex algorithms and machine learning methods to identify a person's opinion's positive, negative, or neutral nature. As a bonus, it can determine whether the text is joyful, sad, angry, or anxious, as well as other emotions. The results of this analysis can be used to calculate the extent to which the public approves or disapproves of various brands, individuals, and concepts. Knowing the thoughts and preferences of customers can be invaluable to companies and organizations. A business may employ mood analysis to monitor customer feedback via social media and use the results to improve its offerings. The material's polarity in its context can also be revealed through sentiment analysis. It can tell you how people feel about a subject or entity and what it is about that subject or entity that people like or dislike. Sentiment analysis can show, for instance, that consumers have a generally positive attitude toward a given brand but a negative attitude toward its customer service. To sum up, sentiment analysis is a subfield of data mining that assesses consumer reaction to a brand, individual, or concept by examining written language. It's like having the ability to read thoughts, only this time, and it's accomplished through complex mathematical formulas stored in a computer. Sentiment analysis, or opinion mining, is a method for gleaning and analyzing biased data from online sources, such as social media and blogs. Data analysis can reveal the contextual polarity of information and provide quantitative estimates of the public's feelings or responses to specific goods, people, or ideas.

...See More

Self-Provisioning

If you're like most people, you're always looking for ways to get out of work. So when we heard about self-provisioning—the ability to set up services and applications by yourself without the help of a dedicated IT specialist or service provider—we were all over it. It's like having your server, except that instead of having to buy your server, pay for its maintenance, and hire an IT person to manage it when things go wrong, you sign up with a cloud provider who has already done everything for you. Moreover, they'll even let you use their servers for free! So if you have ever wanted to launch your website but didn't want to take on the burden of managing it yourself, or if you've been dreaming of starting an online business but didn't want to spend all that money on servers and software licenses well, now's your chance! Self-provisioning is excellent, but the self-de-provisioning part is even more significant. Provisioning is like getting a massage—you know what you want and are in charge of getting it. Deprovisioning is like getting a haircut—it's a little more complicated than telling someone what to do. It requires much attention to detail and technical skill to ensure you're not cutting off any substantial parts of yourself in your zeal to be smooth and sleek. We don't want you to be soft and elegant! We want you to be well-groomed! So here are some tips for taking care of yourself by taking care of your resources. Always deprovision after using a resource so that others can use it when they need it later. Only do something once you've found another that does what that other one did for you (and then de-provision the old one).

...See More

Secure Hash Algorithm (SHA)

Secure Hash Algorithm is a set of algorithms developed by the National Institutes of Standards and Technology and other government and private parties. Cryptographic hashes (or checksums) have been used for electronic signatures and file integrity for decades. However, these functions have evolved to address some of the cybersecurity challenges of the 21st century. The NIST has developed a set of secure hashing algorithms that act as a global framework for encryption and data management systems. The initial instance of the Secure hash Algorithm (SHA) was in 1993. It was a 16-bit hashing algorithm and is known as SHA-0. The successor to SHA-0, SHA-1, was released in 1995 and featured 32-bit hashing. Eventually, the next version of SHA was developed in 2002, and it is known as SHA-2. SHA-2 differs from its predecessors because it can generate hashes of different sizes. The whole family of secure hash algorithms goes by the name SHA. SHA-3, or Keccak or KECCAK, is a family of cryptographic hash functions designed by Guido Bertoni, Joan Daemen, Michaël Peeters, and Gilles Van Assche. SHA-3 competition to develop a new secure hash algorithm was held by the United States National Security Agency (NSA) in 2007. To be a super safe and fast hashing algorithm, SHA3 was developed from this contest. The evolution of cybersecurity has led to the development of several "secure hash algorithms." Security is a crucial concern for businesses and individuals in today's digital world. As a result, many types of encryption have been developed to protect data in various scenarios. One of these is hash algorithms. All secure hash algorithms are part of new encryption standards to keep sensitive data safe and prevent different types of attacks. These algorithms use advanced mathematical formulas so that anyone who tries to decode them will get an error message that they aren't expected in regular operation.

...See More

Trending Definitions

Electronic Document Management System (EDMS)

Suppose you're looking for a better way to store your documents. The shelf needs to be more significant for you. The person you appointed to maintain the records is overloaded and is getting too much for him to handle. Hey, that's great; it means that your company is growing, but your problem persists. Look no further than EDMS. An electronic document management system (EDMS) is software for organizing and storing different documents. An EDMS is a more specific type of document management system which help users collect and store paper or digital documents. EDMS, which refers specifically to the software that handles digital rather than paper documents, is a more general storage system. Digital scanned versions of original paper documents, in some cases, are also governed by these systems. Some might say that an electronic document management system is the same as a content management system (CMS). They'd be wrong. When you think of CMS, you probably imagine a site full of Web content articles, blogs, and other things meant to be viewed online. An electronic document management system is different because it's mainly used for archiving purposes rather than creating new content. If you need an electronic document management system for your business, don't worry about finding one that can do everything for you. Look for one that suits your needs. One benefit of using an EDMS is that it allows you to quickly find the files you need when you need them. They are often searchable by keyword or date range, so if you have an essential document from three months ago but can't remember where it was filed, you must type in one word or phrase from the document's title into the search bar and presto! Your file will pop up right away!

...See More

Cloud Analytics

Undoubtedly the experience of conducting analytics on the cloud is equal parts #hoot, #whaleofatime, and #cloud9; all rolled into one. It's like having a crystal ball for your business, except it's a cloud and a dashboard full of #data magic. Cloud analytics lets you monitor your business in real-time without waiting for reports. Everything from website traffic to sales to the behavior of customers may be monitored and analyzed. It is much like having a data scientist at your disposal at all times, ready to provide you with the information you want. One of the most advantageous aspects of cloud analytics is that it is scalable, which means that it can expand along with your company as it expands. You may use it to get insights and make choices based on information irrespective of the size of your company, making it useful for both tiny startups and large corporations. But keeping tabs on the statistics is one of many benefits of cloud analytics; the platform also makes it possible to divide your audience into several groups and customize each person's experience. You'll be able to anticipate your customers' actions and provide them with the most pertinent goods or services if you use algorithms for #machinelearning. It is the same as having a personal shopper's assistant available at your beck and call. And let's not overlook the fact that having all of your data saved on the cloud offers a great deal of ease. You are able to access it at any time and from any location using any device you want. In addition, the security offered by the cloud allows you to feel at ease knowing that any sensitive data you save there is safe. Cloud analytics is a #gamechanger for enterprises of all sizes, to put it another way. It lets you customize consumer experiences, make data-driven choices, and access your data anywhere. And everything is carried out in a way that is not only safe but also easy to use. Why not give it a shot and discover how it may help your company reach previously unimaginable heights?

...See More

Hashed Table

Disclaimer: Not a round table where things are a blur, but it is sure to be one of those things which are all about helping you get things done. Hashed tables are internal tables used in ABAP programs, where the necessary table record is obtained using the hash function. Like other internal tables, hashed tables are also used to extract data from standard SAP database tables utilizing ABAP programs or objects. However, unlike different types of internal tables like standard or sorted, hash tables cannot be accessed using an index. As with database tables, hashed tables also require a unique key. Hash functions create the index for each record in a hashed table. The result is a string uniquely identifying each record in the hashed table. The string generated by the hash function is known as a hash code or hash value. With a hashed internal table, you get the best of both worlds: speed and flexibility. You can declare your internal table as a hashed table by adding the keywords' TYPE HASHED TABLE' to its declaration. This makes it accessible to the internal HASH algorithm, allowing fast access times even for large data sets. The unique key must be declared when you're using a hashed table because it's mandatory in this algorithm. Define your unique key with the keyword 'UNIQUE KEY'. Hashed tables are ideal for processing large amounts of data because they allow reads to have costs independent of table size. You're not penalized for having many entries in your database. This makes them preferable to other types of internal tables when there are many reads and few writes happening on them at any given time. A hashed table will always respond in constant time regardless of how many entries are present in it, and you don't have to worry about slowing down if there are too many records!

...See More

Trending Articles

Join Our Newsletter

Get weekly news, engaging articles, and career tips-all free!

By subscribing to our newsletter, you're cool with our terms and conditions and agree to our Privacy Policy.

Home

Hot Topic: AI

News

Articles

Branded Insights

  • Dark
  • Light