K
Kathleen Martin
Guest
Moving data (and databases) to the cloud can be stressful. Datometry’s CEO, Mike Waas, explains what you need to think about, explains the pros and cons of three different approaches, and offers best practices to make the move less taxing.
Upside: There’s been an increasing movement of data management from on-premises environments to the cloud. What do you see driving your customers to make the move? What benefits are they expecting?
Mike Waas: We see primarily two driving forces. First, many companies are executing on a C-level mandate to become cloud-native, often on an accelerated timeline. In this case, moving all data management to the cloud is part of a larger initiative. Second, IT relocates data assets into the cloud independently to overcome limitations of on-premises systems and lower their operational expenses.
Underlying either path is a careful cost-benefit analysis that has to justify what is often the single most complex transformation project within the organization.
Not surprisingly, the primary benefit is the anticipation of drastic savings. Compared to an on-premises data warehouse appliance, cloud-native systems can achieve a cost reduction of up to 75 percent. The savings are a combination of lower fees and a reduction in personnel because managed cloud systems liberate enterprises from having to staff large support teams.
A close second when it comes to benefits is the prospect of generating new revenue. In the cloud, companies expect to be able to tap into a bevy of integrated processing capabilities, ranging from flexibility and rapid scaling to complete vertical-specific solutions.
What are the biggest problems when adopting a new data management strategy in the cloud?
Understanding which type of cloud database is the right fit is often the biggest challenge. It’s helpful to think of cloud-native databases as being in one of two categories: platform-native systems (i.e., offerings by cloud providers themselves) or in-cloud systems offered by third-party vendors.
Platform-native solutions include Azure Synapse, BigQuery, and Redshift. They offer deep integration with the provider’s cloud. Because they are highly optimized for their target infrastructure, they offer seamless and immediate interoperability with other native services.
Platform-native systems are a great choice for enterprises that want to go all-in on a given cloud and are looking for simplicity of deployment and interoperability. In addition, these systems offer the considerable advantage of having to deal with a single vendor only.
Continue reading: https://tdwi.org/articles/2022/02/16/diq-all-data-management-and-the-cloud.aspx
Upside: There’s been an increasing movement of data management from on-premises environments to the cloud. What do you see driving your customers to make the move? What benefits are they expecting?
Mike Waas: We see primarily two driving forces. First, many companies are executing on a C-level mandate to become cloud-native, often on an accelerated timeline. In this case, moving all data management to the cloud is part of a larger initiative. Second, IT relocates data assets into the cloud independently to overcome limitations of on-premises systems and lower their operational expenses.
Underlying either path is a careful cost-benefit analysis that has to justify what is often the single most complex transformation project within the organization.
Not surprisingly, the primary benefit is the anticipation of drastic savings. Compared to an on-premises data warehouse appliance, cloud-native systems can achieve a cost reduction of up to 75 percent. The savings are a combination of lower fees and a reduction in personnel because managed cloud systems liberate enterprises from having to staff large support teams.
A close second when it comes to benefits is the prospect of generating new revenue. In the cloud, companies expect to be able to tap into a bevy of integrated processing capabilities, ranging from flexibility and rapid scaling to complete vertical-specific solutions.
What are the biggest problems when adopting a new data management strategy in the cloud?
Understanding which type of cloud database is the right fit is often the biggest challenge. It’s helpful to think of cloud-native databases as being in one of two categories: platform-native systems (i.e., offerings by cloud providers themselves) or in-cloud systems offered by third-party vendors.
Platform-native solutions include Azure Synapse, BigQuery, and Redshift. They offer deep integration with the provider’s cloud. Because they are highly optimized for their target infrastructure, they offer seamless and immediate interoperability with other native services.
Platform-native systems are a great choice for enterprises that want to go all-in on a given cloud and are looking for simplicity of deployment and interoperability. In addition, these systems offer the considerable advantage of having to deal with a single vendor only.
Continue reading: https://tdwi.org/articles/2022/02/16/diq-all-data-management-and-the-cloud.aspx
