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.
Big data has become a popular buzzword used extensively in different organizations. So what exactly is big data, and why are so many businesses interested in it. Well, big data refers to the volumes of data that is collected on a daily basis by an organization. This data can be used by organizations to derive insights, using machine learning or predictive modelling, that can help them make sound business decisions – taking a business’s strategic decision making to the next level.
Blockchain has become a buzzword over the years especially with the introduction of cryptocurrency. But, what exactly is blockchain? Well blockchain refers to a collection of records, used to document transactions that take place over time and is stored in a database-like structure. Blockchain has become a way to record and distribute information stored digitally that cannot be modified in any way. Blockchain forms the foundation of cryptocurrency, which has become increasingly popular over the years. Cryptocurrency is a form of digital currency that can be used to perform online transactions. Through using blockchain, cryptocurrency transactions are protected using complex encryption algorithms, thus preventing fraudulent behaviour and ensuring transparency. Some popular cryptocurrencies built on blockchain include Bitcoin, Litecoin and Ethereum.
In a previous article, we introduced chatbots – what they are and how they can be used to take your business’s marketing strategy to the next level. Now we are going to take a look at a step-by-step guide on how to build a Facebook Messenger bot for your business. Messenger bots have become increasingly popular, well-known for their advanced chatbot capabilities and integrations with Facebook AI learning, making it an intelligent and intuitive system. Using a Messenger bot can help you create an automated experience between your business and your users, allowing your business to scale effectively.
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 the real world we have things such as ramps along side stairs, we have raised patterns on remote controls and signs that have brail. We understand that these provisions were made for people with disabilities, this is done to provide access to areas, information as well as functionality that any given person may need. Web accessibility is an extension of this, by using best practices and setting guidelines that reduce or ultimately remove the barrier of entry and to ensure that all users have equal access to information and functionality as a whole. Ultimately access by everyone regardless of their disability or disabilities is an absolute essential aspect.
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.
DevOps is a field of engineering that focuses on the tools and practices required to deliver software applications or services to organizations quickly and continuously. DevOps requires the manual configuration of software requirements, such as virtual machines, storage and servers, to deploy software solutions appropriately. This is all done in a release pipeline. Different teams are consulted to carry out this process such as security teams, network teams and the development team. Since many teams are involved there is an increased possibility of human error occurring during the configuration process which can result in increased maintenance costs. Therefore, a goal in DevOps is to try to make the deployment of software as automated and efficient as possible.
There are an extensive number of programming languages that are currently available for web development. We are going to take a look at a few of the most popular languages for developing mobile and web applications, including Javascript, Python and PHP.
