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Distributed Ledgers are one of the fundamental concepts that Blockchain is built off of. Often both concepts are used interchangeably, however they are different. Blockchain is made of several concepts such as smart contracts, protocols etc. and distributed ledgers are just one of those concepts. In this article we are going to take a look at what distributed ledgers are, its benefits and how blockchain uses distributed ledger technology.
In a previous article we took a look at blockchain protocols, the building blocks of cryptocurrencies and blockchain. One of the fundamental concepts in blockchain protocols is smart contracts which are in essence, transaction protocols that are executed on a blockchain. In this article, we are going to take a look at what exactly smart contracts are, why they are used and some of the most popular smart contracts out there right now.
One of the fundamental concepts of blockchain is protocols. So what exactly are blockchain protocols, why do we need them and how are they used in blockchain? In the IT industry, protocols allow for information to be shared securely between different systems. Protocols define what information can be shared and how the data should be structured in order to prevent malicious activity. Some of the most popular protocols that we are familiar with include the hypertext transfer protocol (HTTP), file transfer protocol (FTP) and even the internet protocol (IP). So what do we mean we talk about blockchain protocols?
The concept of blockchain has exploded over the years. We have come to know what it is, how it works and how it can be used to provide your organization with transparency and decentralized transactional processing in your business. A buzzword that has been used extensively when it comes to blockchain is the concept of NFTs. So what exactly are NFTs and how do they work?
We have taken a look at what NFTs are, how they are different to cryptocurrencies and how they work. In this article, we are going to look at the NFT marketplaces, crypto wallets and how you can go about using NFT marketplaces.
In this article we are going to discuss the next stage of the big data pipeline which involves processing your raw data stored in cloud storage. We are going to take a look at Google Cloud’s data processing service Dataflow and the AWS, as well as Azure equivalents. We will also look at some of the benefits to using Dataflow and it’s capabilities in a big data pipeline.
In a previous article, we looked at the different stages involved in a typical big data pipeline. In this article we are going to take a deep dive into all of the different Google Cloud Platforms services that can be used to build a big data pipeline. We will also take a look at the Amazon Web Services and Microsoft Azure service equivalents.
In a previous article, we looked at the concept of big data, some of its properties and the benefits of collecting and using your company’s data to create value in your business and provide insights that can help you with your strategic decision-making process. In this article, we are going to look at all of the stages involved in building a typical big data pipeline.
As chatbots are being used more often as an effective marketing tool, organisations have started taking a look at how they can take their marketing, branding and customer interactions to the next level using WhatsApp.
In a previous article we introduced the open source container management orchestration tool Kubernetes. We looked at where Kubernetes can be used, how it works and the benefits of using such a tool to manage your containerised applications. As more organisations start using serverless architectures to deploy their applications, Kubernetes has become increasingly popular. Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) have all introduced Kubernetes into their service offerings to ensure that their users are able to manage, upgrade and deploy their Kubernetes-based architectures straight from the cloud. We are going to deep dive into the strengths and drawbacks of each cloud platform’s Kubernetes offering and how each can be beneficial to your organisation’s containerised applications.

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