Today, the concept of cloud, hybrid cloud, and multi-cloud isn’t a new one. But the pandemic has fueled the awareness of the latest hybrid multi-cloud environment and even in the distant future. Plus, it is not going away, which is proved from several points. Firstly, the oracle was already providing secure cloud hosting to the zoom, TikTok and also to two more popular apps. And secondly, large enterprises are realizing the advantages of cloud computing and moving their data from on-premise to cloud platforms.
Considering Data Locations Concept in Cloud, Hybrid Multi-Cloud and On-Premises Systems:
As the amount of data is rising, the requirement of accomplishing data-driven strategy has become more necessary than ever. Also, driving meaningful insights from such huge datasets is a more critical process than finding locations to store them. From the perspective of data, a hybrid multi-cloud should make the job of connecting data easier rather than making it harder. Hybrid multi-cloud platform leverage improved agility and financial benefits to the large size of enterprise at the infrastructure level.
Since there weren’t any alternatives to data locations of data integration, the data management practitioners haven’t paid any attention to that area of the storage layer. Plus, a traditional data management system provides proper data locations to computation tasks of shifting data to many data storage systems, such as databases, warehouses, and lakes.
Well, the cloud platform didn’t exactly change the data storage concept, even after moving an entire data of data warehouses to the cloud, because it is like a third-party’s “on-premises” storage system. In other words, the cloud is still like a conventional data management system even after successfully shifting the data to the cloud platform.
After the establishment of a hybrid multi-cloud, there is an alternative to consider for data location in the storage layer. But still, there is one question to tackle: “Is there any way to take all the benefits of having a hybrid multi-cloud environment like data transformation, digital transformation, and enhanced infrastructure at best prices?
Introducing Data Fabric Technology to Eliminate the Data Location Worries:
Apparently, there is an alternative approach for data virtualization, which was developed many years ago but only used for the relational data model of enterprises as the subset of their data. Today’s data landscape contains all types of data, including structured, semi-structured, and unstructured. Hence, the process of achieving data virtualization is quite difficult in this diverse space of the data landscape. But there is one way to achieve data virtualization, which is to separate it from the relational data model.
The emerging data fabric vendors offer an alternative to a data storage location, especially where the storage locations are rapidly increasing. Here, an alternative means, data fabric and other similar platforms offer a way to move computation to data by using virtualization technology, metadata intelligence, and graph data models to integrate, query, and connect data where it resides rather than placing data in another place.
This approach differentiates how businesses consume and use data by rationalizing data storage locations and different cloud strategies. As a result, economic decisions about cloud costs can be derived from one place without affecting other business processes and goals.
Conclusion:
IT always figure out separate opportunities to drive advancements. Just like a cloud is built upon the idea of making free physical storage systems, data fabric technology offers the same opportunity of making all data available at one location. In this world of hybrid multi-cloud, it is important to employ approaches and strategies for such. Making data location irrelevant using data fabric helps businesses to get meaningful data insights and more profits at the best costs. Contact CloudStakes Technology Pvt. Ltd. to get the best quote for cloud infrastructure services.
