Organizations often need to develop tailored data migration strategies and use specialized software to complete the data migration process successfully. They also need to decide on which data ...

Application-based, file-based, and block-based migration all have their own merits and use cases. Choosing the right solution starts with understanding their differences. Data migration is a critical ...

Prior to the advent of big data and cloud approaches to handling large volumes of data, “data science” wasn’t a term. On top of that, every use case that fell into the category we now call data ...

Today, risk, security and data protection officers are responsible for planning, deploying and managing enterprise-wide data privacy and security programs. However, without buy-in from executive ...

Enterprise data is more complex, diverse and vital than ever. The only problem? The way we store and manage data has remained, by and large, the same. The prevailing data management strategy is to ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...