Big data and blockchain work well together by providing more security and integrity.
One is transforming data management while the other is changing the nature of transactions altogether. Could they create an even more significant impact on the industries by binding together – big data for blockchain or blockchain for big data?.
Big data technologies first came into the picture at the dawn of this millennium to meet the computational needs of large datasets in the Internet-era. Proprietary applications like BigTable by Google and ZooKeeper at Yahoo showcased the potential of big data. However, the potential could only be tapped into after open-source projects such as the Hadoop File System (HDFS) and Hadoop MapReduce hit the market. Since then, big data has snowballed to transform how companies manage their data in the 21st century. Satoshi Nakamoto, an anonymous mystic individual, introduced the world to blockchain in 2008. It was developed in an attempt to solve the problem of double spending in transactions by eliminating the need for a third party in financial transactions. Blockchain also gave the world its first digital cryptocurrency – the bitcoin. Since then, the concept of blockchain has rapidly evolved to provide robust solutions to problems persisting in a wide array of industries. Now that both big data and blockchain are established as effective tools to tackle issues in different domains, we look forward to – possible methods of integrating both big data and blockchain to deliver even better solutions to specific problems, or as we’ve called it in this article, blockchain for big data and big data for blockchain.
How Big Data Works With Blockchain
A lot of governments have had trouble with the anonymity clause of blockchain. Despite being favored for its security and infallibility, blockchains are turned down for not being able to track stakeholders in transactions, thus being a preferred choice for illegal handel. Big data applications can help make blockchains trackable by managing structured datasets of wallet addresses and their owner details. This kind of infrastructure can convince governments to adopt blockchain as a platform for transactions that demand speed, safety, reliability, and traceability – thanks to big data for blockchain.
The Close Ties Between Blockchain and Big Data
Big data is comfortably dealing with huge sets of data, but some issues in its infrastructure have posed a problem in the widespread adoption of the technology. The big data infrastructure is centralized to a server location that offers complete unconditional control of data to the ones who have access to the server. This ‘ownership’ creates a problem when big data infrastructure is to be shared between different companies or even different regional offices of the same company. Besides, having multiple copies at different locations is not a solution because it puts a burden on resources and also creates confusion while determining the most updated data resource. Furthermore, now that big data resources are being traded among different entities, the legitimacy of a data resource poses a concern. With a blockchain for big data, we can create a decentralized data resource to which every one has full access. We can also track updates to the data resource on the blockchain, eliminating the need for and confusion due to multiple copies. Moreover, data transactions can be verified for legitimacy using blockchain concepts like proof-of-work or proof-of-stake and at the same time blockchain can provide a robust financial platform for data transactions between entities.
It is incredible how both of these technologies – big data and blockchain – can together significantly improve the usability of each other. The techniques can help create a hybrid infrastructure on pillars of big data and blockchain. The infrastructure will be flexible for different application types, like its parents – big data and blockchain.
De bästa programmeringsspråken för webbtjänster och deras fördelar 2022
The world is becoming more digital, and the need to learn digital skills is higher now than ever before. One such digital skill that has gained more prominence since the last decade is programming languages. We now live in a world revolving around technology, and basic knowledge of programming languages is becoming a necessity for many career options and job profiles.
There are many reasons to learn about the different programming languages and their advantages, and web services or web development is a big part of it. Web development is an ever-growing field and has plenty of opportunities. To grab these opportunities in web development, you need to equip yourself with the correct programming language. However, the plethora of language options available to you can be confusing, especially if you are a beginner.
This high-level language, often used by most websites as a client-side language, is a core technology in the World Wide Web. Initially, it was used only for developing web browsers; however, they now have new usages in non-web browser applications and server-side website deployments.
Since its creation in 1995, it has evolved into one of the world’s most popular programming languages and is highly sought after by various organizations.
- It is very popular and is everywhere on the net.
- It can run immediately in the client-side browser.
- It doesn’t demand much from the website server.
- Different browsers may interpret it differently sometimes, so writing cross-browser code is difficult.
This is a powerful programming language and is one of the best used in web development for multiple purposes. Furthermore, this open-source language is very easy to learn and deploy and is among the best languages for learning web development since it develops scalable applications and web pages.
Python has a unique selling point: the simple, productive, and elegant design of this language. It is the best for backend development with first-class integration with other programming languages such as C++ and C.
Python has numerous usages, especially in developing web and desktop applications and GUI-based applications such as machine learning, data science, and network servers. It also offers multiple toolsets for mathematics, statistics, and computational science with numerous libraries and frameworks like NumPy, Pandas, SciPy, and Scikit-Learn.
- It increases the productivity of programmers and developers.
- It supports several systems and platforms.
- It follows object-oriented programming.
- It ensures easy scalability, even with complex web applications.
- Offers numerous support libraries.
- It focuses on code readability.
- The database is primitive and slightly underdeveloped.
- Not ideal for mobile computing.
HTML stands for HyperText Markup Language. This language is the foundation upon which web development is built, and every developer must familiarize themselves with it. It is a very popular language and is currently one of the most used programming languages. While it cannot be described as a full-fledged programming language, HTML is the standard language for creating web pages.
HTML gives web pages structure and ensures that images and texts are correctly formatted. In addition, it is a fast language and helps developers design web pages much quickly because it uses templates.
- Learning and implementing is easy.
- It is free and accessible.
- All browsers support it.
- This language is static, so creating dynamic pages is impossible.
- It requires lots of code to develop a simple webpage.
PHP is highly productive in web development and is used vastly within this industry to build and deploy applications quickly.
- It has plenty of frameworks to offer.
- It can be used to develop web pages with ease.
- It supports object-oriented and functional programming paradigms.
- It also supports multiple automation tools used for testing and deploying applications.
- It uses the Xdebug extension, which allows for great debugging.
- It has a large ecosystem with incredible community support.
- It doesn’t have features for handling errors and security.
- It is slower to build a web page using this language alone than other programming languages.
CSS is similar to HTML because it is also a basic language that all developers should know. CSS is the acronym for Cascading Style Sheets. This language is mainly used along with HTML to govern a web page’s style. Combining CSS and HTML languages is often the mother of programming languages. For example, CSS determines the color, positions, and size of elements within a webpage.
CSS uses a cascading style, which means an applied style cascades down from the parent to the child throughout the web page. This cascading nature allows it to uphold consistency.
- It is a beginner-friendly language that’s easy to learn.
- CSS supports responsive website design.
- It simplified web page customization
- It increases the webpage loading speed.
- It is possible to suffer cross-browser issues.
- It has multiple levels, such as CSS2 and CSS3, which may lead to confusion.
This middle-level programming language was created in 1980 as an Objective C extension. C++ language is simple and easy to learn for beginners, and it has lots of usefulness. It offers everything that Objective C offers and more. It supports features such as object-oriented programming, except type checking and handling.
C++ supports OOP concepts such as encapsulation, inheritance, and abstraction. The compiling mechanism is quick and efficient, and it has a massive standard library.
- It is highly scalable.
- It is portable and easy to handle.
- It has extensive community support.
- Garbage collection is not automatic.
- The pointers have associated complexities.
There are numerous options for programming languages to learn for web development in 2022. However, you could get spoiled for choice and miss your way if you’re a beginner and new to the web development scene. Therefore, this article discusses some of the best and most popular programming languages you can kick start your web service journey in 2022.
Eun Rockwell is a professional journalist with extensive experience, four years. She also works as a freelancer and writes a lot of articles. In addition, she has had writing stints at My-assignment.help och Superiorpapers. Eliza is always focused on doing quality work to achieve her goals and objectives. In addition, Eliza is fascinated by creating original works that meet high standards. Feel free to connect with her by email.
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