Introduction Real time data processing is a term that’s been used in various contexts over the last few years. But what does it really mean? And why should you care about real time data processing? This blog post will help you understand the basics of real time data processing, including […]
Introduction The cloud is a network of remote computing resources that you can access over the internet. For example, your data may be stored on a server in the cloud if you use a service like Dropbox or Google Drive. Edge computing, also known as fog computing, is different from […]
Introduction Real time data processing is the ability to process and store data as it arrives, rather than later. Real-time processing can be used to generate alerts when certain conditions occur. It can also be used to detect patterns in the data. For example, a car manufacturer might want to […]
Introduction Cloud computing is becoming a popular way of getting work done. As more businesses start using cloud services, however, we’re realizing that there are some challenges with interoperability and portability in this new environment. The cloud is not one homogenous environment, but rather many different ones, each with their […]
Introduction Data visualization is a critical part of any data science project. Often, the visualizations are the only way for end users to get the most out of their data. That’s why it’s so important to have strong data visualization skills and an eye for design when you’re working on […]
Introduction It’s not uncommon for organizations to make analytics data worse. Whether it’s a result of poor record-keeping, an overabundance of data or bad processes, it happens all too often: companies gather information, then lose it. In this post, we’ll outline five steps you can take to make sure your […]
Introduction Cloud computing is a way of using the Internet to access and store data, as well as using software that runs on remote servers. It has become more widely used over the past decade. The term was first used in 1998 to describe a new computing model that allowed […]
Introduction Another way to reduce latency is through edge computing. This type of computing takes place at the edge of a network, rather than at its center. With this model you have your services running on devices that are closer to users and their devices, which means there’s less distance […]
Introduction Blockchain technology is a decentralized digital ledger of economic transactions that can be programmed to record not just financial transactions but virtually everything of value. It’s been around since 2008, when Bitcoin became the first major application of blockchain technology. Today, companies like Amazon and IBM are investing heavily […]
Introduction Real-time data processing is an essential component of any Big Data Analytics solution, but it’s also a relatively new field that has only been around for about 20 years. The term “real-time” refers to an instantaneous or very close-to-instantaneous type of activity. This does not imply that real-time processing […]