Using Hybrid Cloud To Meet The Challenges Of Modernizing Data Architectures
Cloud computing helps businesses by delivering on-demand computing power and resources swiftly, in many instances minimizing or eliminating the need to buy, install, and maintain new and expensive physical hardware and infrastructure. But at the same time, organizations still need to keep their most valuable data and IT systems within their own on-premises data centers due to key considerations such as security, privacy, safety, and meeting regulatory mandates.
That is why enterprises have adopted a hybrid cloud architecture across their IT operations that provides in many use cases greater software-as-a-service application flexibility, increased cost savings, more efficient processing, and storage capabilities, as well as broader options when it comes to governance and privacy. We see hybrid cloud as integral in the accelerating adoption of data warehouse platforms that function as a containerized application for developing highly performant, self-service data warehouses in the cloud which can be scaled dynamically and upgraded independently.
With hybrid cloud, in alignment with their multi-cloud implementations, organizations can continue to have their own private, on-premises IT infrastructure for their most mission critical data and systems, while also bringing in public cloud resources to advance their hybrid data and data architecture modernization strategies. The hybrid cloud trend runs in parallel with broader multi-cloud adoption as it allows organizations to use more than one public cloud service, with each public cloud service typically supporting different applications. However, hybrid cloud challenges must be addressed to realize hybrid cloud’s benefits.
Organizations are increasingly compelled to distribute and spread data throughout their data centers, private clouds, and public clouds to meet the expanding demands of collecting, storing, analyzing, and managing massive amounts of fast-growing data volumes usually in real-time. Plus, with more data now created and originating outside data centers, they are finding overall data administration more complex and creating new cost containment, performance, and integration challenges.
Today we find most organizations already havea hybrid cloud strategy in place that is increasingly aligned with their broader adoption of multi-cloud, analytics, and AI. As a result, organizations are ramping up their hybrid cloud as well as multi-cloud implementations to augment their on-premises data center and private cloud data warehouses with public cloud platforms.
In addition, legacy data warehouses frequently lack granular control over resources allocated to jobs and tasks as well as the ability to support multiple versions of tools and engines. Accordingly, we see that users, groups, and workloads are required to use the same versions of query engines and tools. Such interdependency muddles operations and the upgrade process and can suppress innovation, especially across hybrid cloud environments.
One key benefit of hybrid cloud is that it can provide more technological and process freedom for businesses. Instead of being limited by existing on-premises data center capabilities, using hybrid cloud allows organizations to quickly respond to their unique business needs by accessing additional compute resources through public cloud platforms, creating more data workload optimization and management flexibility.
The value of this option is that public cloud services can be available at the push of a button and configured automatically according to customer data workload demands and policies, including elastic up/down scaling capabilities. This kind of flexibility and measurable cost structure is especially critical today, as intricate macroeconomic conditions continue to challenge businesses around the world.
