Reimagine Object-based Storage in a Multi-cloud Era
Have you ever stopped to imagine how much work goes into product placement on grocery store or supermarket shelves? It has to be just right in order to catch your eye. And placing products is only part of the puzzle—expansion of products is another. With new products continually being produced, there are thousands of combinations possible on shelves.
The digital age has really disrupted the expensive manual process of loading different product combinations and carting in focus groups to view “mock” shelving. Procter & Gamble, for example, has taken a different approach in removing manual processes by using virtual shopping shelf technology. Application developers can easily program these virtual shelves to be manipulated and render new combinations in minutes, relying on a massive amount of data and the ability to quickly analyze it. This provides insight to test and develop thousands of different combinations without actually moving a single product. At the core, Procter & Gamble has moved from manual procedures to automated ones, with the key drivers of saving time and reducing costs.
Tackling Ongoing Data Growth
We all know that data is growing at exorbitant rates, especially when you look at digital applications like the “virtual shopping shelf,” but it’s especially telling when you look at the projections. IDC predicts that data growth will hit 40 zettabytes by 2020 with unstructured data accounting for 63% of it.* That’s a massive amount of unstructured data, and enterprises currently store it in complex, difficult-to-manage, limited-scale silos. Additionally, some enterprises also choose file structures for storing large amounts of data, which is not always the best solution for application developers. These folks look for simple constructs to put and get massive amounts of data without worrying about directory structures or paths. The public cloud has helped in solving some of these challenges with elasticity and ease of use, but it lacks the security, control, and cost efficiencies for predictably running large-scale environments. This leads to inefficiencies and reduces business agility. Enterprises need a new paradigm to consume and manage data growth (terabytes in size) and in some cases doing so while maintaining regulatory compliance.
Read the entire article here, Reimagine Object-based Storage in a Multi-cloud Era
Via the fine folks at Nutanix.