For almost half a century, the relational database management system (RDBMS) has been the dominant model for database management. However, today's business needs are forcing data management into new use cases, such as managing interactions with constantly-connected devices and websites, powering and managing social networks, handling multi-structured data and machine-generated files, etc.
The amount of useful data in some modern application areas has become so distributed and vast, and the speed at which that data moves so fast, that it cannot be stored or processed by traditional database solutions. User-generated content in social networks and data retrieved from large sensor networks are two of the many such examples where traditional relational databases are being pushed beyond their limits.
The shelter-in-place mandates put in place earlier in 2020 sent most employees home, and for the next few months they strived to stay connected and productive, while IT teams scrambled to provide infrastructures to support them. Now many organizations have realized there are benefits to having a distributed workforce, and thus are focused on tackling some of the network-related challenges that have compromised employee experience.
Remote user access is one top-of-mind concern. When employees are remote, connecting to on-premises apps can be ...
How IT adapts in times of change:
When global events caused companies to make a rapid pivot to remote work, IT had no choice but to act fast. No matter where they were on the path to digital transformation, IT organizations across industries were responsible for onboarding a large number of employees onto new devices, managing a bigger population of distributed users, and keeping them all connected and secure.
For teams still using traditional PC lifecycle management methods on their Windows devices, these new demands quickly became a mas ...
Organizations will continue to benefit from their data center investments, yet many of these organizations are also looking to benefit from the unique advantages offered by public cloud that cannot be cost-effectively delivered with today’s static data center environments.
- 4 Reasons to Extend Your Data Center to the Cloud:
1. Footprint expansion - Obtain capacity for new projects and expand into new geographies without building a new data center or investing in over-provisioning.
2. On-demand capacity - Handle unplanned temporary cap ...
Cloud infrastructure is becoming the primary deployment environment for a majority of workloads.
As organizations extend on-premises data center environments to the public cloud, there are several factors that need to be considered to effectively integrate on-premises data centers with the public cloud in order to realize cloud benefits.
The goal of this paper is to help our customers understand these factors and identify the right cloud platform while identifying potential challenges. ...
1. Footprint Expansion:
Obtain capacity for new projects and expand into new geographies without building a new data center or investing in over-provisioning.
2. On-demand Capacity:
Handle unplanned temporary capacity needs and anticipated seasonal spikes in demand without the capital expense of maintaining idle capacity.
3. Test, Development, and IT Lab Environments:
Perform test/dev and lab/training activities in a flexible pay-by-the-hour environment, with the ability to move between cloud, on-premises, and other regions as needed.
In diesem Bericht von Forrester Research wird betont, dass die Art der Storage Verwendung durch...