With the rise of cloud computing, many organizations are opting to use a hybrid approach to their data management. Even though many companies still rely on on-premises storage, the benefits of having cloud storage as a backup or disaster recovery plan can be significant. This post will give you five of the most popular use cases for hybrid cloud data management.
Why Hybrid Cloud Data Management?
Hybrid cloud data management isn’t a new concept, but it’s finally starting to hit its stride as a viable option for enterprise data management. It utilizes a mixture of on-premises and cloud storage and cloud computing to handle all aspects of a company’s data needs. Often, it’s the merger of on-premises databases or enterprise data warehouses (EDW) with cloud storage, SaaS application data and/or a cloud data warehouse (CDW). The benefits of this hybrid approach are twofold: it provides a backup plan for disaster recovery situations, and it gives an organization the ability to scale up as needed without purchasing additional hardware.
Backup and Disaster Recovery
One of the most obvious benefits of hybrid cloud data management is that it provides a backup for your data. If your on-premises storage system fails or you lose some important data, you can rely on your cloud storage to get it back. It will act as an additional fail-safe plan in case anything happens to your on-site server.
Data is not just one homogeneous entity. Many companies can feel hampered by data access. They may not have the in-house expertise or budget to handle the IT demands of data storage and real time access. Through a hybrid cloud environment, your business can access data and applications stored in both on-premises and off-site locations. Global companies can store data closer to applications or users to improve processing time and reduce latency without having to have local data centers or infrastructure.
Currently, many businesses are combining internal data sources with external data sources from partners or public sources for improved analytics. A hybrid data warehouse can allow data teams to combine this third-party data with internal data sources to gain greater insights for decision making. Data engineers can reduce the amount of effort required to source and combine data needed for users to explore new analytical models.
When an organization migrates their storage to the cloud, they can take advantage of public, private, and hybrid cloud solutions. This means utilizing a host of services, including backup storage, disaster recovery solutions, analytics, and more. All while paying less money on infrastructure costs and avoiding large capital expenses.
The adoption of a hybrid data warehouse can relieve some of the compliance burdens that can often accompany stored data. For example, retired systems may leave behind orphaned databases, often with useful, historic data. This can create a data gap for analytic teams, but it can also pose a security and compliance risk for the business. Cloud service providers have teams of experts that work with governments and regulators globally to develop standards for things such as data retention times and security measures. Additionally, leveraging the cloud for data storage can also help address the challenges of data residency and data sovereignty regulations, which can become complex as data moves across geographical boundaries.
Regardless of where you are on your cloud journey, data is the most valuable asset to any organization. The cloud is an increasingly important component as businesses look for ways to leverage their data assets to maintain competitive advantage. Learn more about how the Avalanche Data Platform is helping organizations unlock more value from their data.