English▼Multicloud interoperability enables software applications to run and be accessed seamlessly across private and public clouds. (more)
The rise of multi-cloud, data-first architectures and the broad portfolio of advanced data-driven applications that have arrived as a result, rely on data lakes to store all the data. A data lake is an open source and industry standard repository for storing large amounts of data. Subsequently, an enterprise data lake not only stores data, they also provide enterprise grade services to collect, explore, manage, govern, prepare and build pipelines for enterprise data. (more)
My next-door neighbor has a two-car garage and a large shed in the backyard. In the twenty-plus years we have lived next door, they have yet to park a single car in their garage. The garage is overflowing with all manner of yard equipment, winter tires, retired exercise equipment, and the odd piece of furniture. The shed is also packed. They own a snowblower, I often lend them ours because they can’t access their own. Unfortunately, many organizations handle file management in a similar fashion. (more)
The rise of cloud native software and the broad portfolio of advanced data-driven applications that have arrived as a result require cloud data management systems to collect, organize, govern, and provide universal access to cloud resident data. Cloud data management architectures span private, multi-cloud, and hybrid cloud environments connecting data sourced not just from transaction systems, but from file servers, the internet or multi-clouds. (more)
COVID-19 has created a very unexpected disruption to life. As we continue to endure its effects on people and the economy for over half a year, it’s important to look back at how things were handled in the beginning, and the support that corporations gave during these crucial times. Many organizations from around the world donated money and resources during the onset of the crisis, and are still continuing to do so today—but many surely weren’t prepared to do so, leading to delays of life-saving resources. (more)
As organizations embrace newer, better technologies, the older applications have a tendency to pile up in the corner of the data center. This inefficiency is made worse as companies are acquired and transitioned onto the company standard applications. Eventually, they become costly to manage due to support fees for both software and hardware, data center charges, labor costs for application maintenance and backups, and labor costs for application support. However, the data contained within these inactive applications is still very important, so it must be stored somewhere. (more)
