Introduction Data storage and analytics are two of the most important pieces of a successful business. With data storage, you can organize all your company’s data so it’s easily accessible for future reference. With analytics, you’ll be able to put that information to work by turning it into an actionable […]
Big Data And Analytics
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 Data preparation is a crucial step in any data science project. It allows you to clean your data, making sure it’s ready for analysis and model building. However, many new data scientists are surprised by how much work goes into preparing their datasets. In this post we’ll cover 10 […]
Introduction Real time data processing is a new way of thinking about how you use your data. It’s not just about analyzing and storing all the information that comes into your system, but also about getting it out of storage as quickly as possible to be put to good use. […]
Introduction As a storage professional, you’re no doubt excited about the opportunities presented by new technologies. And who could blame you? After all, how many people can say that their job is to help businesses store data more efficiently and cost-effectively? Here are five hot technologies in data storage and […]
Introduction The cloud is rapidly transforming the way businesses use data analytics. That’s because cloud-based platforms make it easy to take advantage of machine learning, artificial intelligence (AI), and other technologies that drive more intelligent decision-making. But what exactly is data analytics, anyway? And how does it impact business decisions? […]
Introduction In preparing data for analysis, it’s important to keep your data clean and ready for analysis. If you want to get the most out of your data science project, it’s critical that you create datasets that are well-prepared. Otherwise, even if your model has high accuracy on training sets […]
Introduction Data science is one of the hottest fields to work in today, and it’s only getting hotter as more companies realize that data can help them make better decisions. The demand for data scientists has been on the rise for years now, and this trend shows no sign of […]
Introduction Before you can put your data to good use, you need to understand its story. The deeper story is often found in the connections between data points and events. Here are some ways that we can humanize our data for better insights: The deeper story is often found in […]
Introduction The supply chain is a massive global network of businesses and people that work together to deliver products and services to consumers. It’s also one of the most profitable industries on Earth, worth trillions in GDP. But this industry can’t function without data storage, processing and analytics (DSPA). Data […]