CA Technologies is helping customers to manage and integrate their database infrastructure with the SQL Azure cloud database environment.
The company has introduced a powerful new solution, CA ERwin Data Modeler for SQL Azure, that enables businesses to make fact-based decisions about which data to move to the cloud, and which to keep on premise.
Although moving to the cloud promises plenty of benefits a large number of customers are concerned about the complexity and risk associated with designing and deploying systems in an off-premise environment.
CA Technologies' CA ERwin Data Modeler for SQL Azure addresses this issue by empowering customers to easily create an inventory of data assets, including both cloud and on-premise databases, using a single visual interface.
"Maximising the benefits of the cloud is challenging if you do not fundamentally understand the data that currently exists, let alone which data would best reside in cloud property," said Mike Crest, general manager, data management, CA Technologies.
"CA ERwin Data Modeler for Microsoft SQL Azure provides visibility into data assets and the complex relationships between them, enabling customers to remain in constant control of their database architectures even as they move to public, private and hybrid IT environments."
No specialised skills
The new solution allows businesses to migrate from on-premise databases, such as SQL Server, to cloud-based databases, such as SQL Azure.
Users can also maintain their cloud-based databases by leveraging a familiar desktop data modelling paradigm, which means they do not require specialised skills or training to use the new product.
"CA ERwin Data Modeler for SQL Azure is the latest example of CA Technologies' commitment to helping customers fully capitalise on the cloud without needing special resources or skill sets," said Kim Akers, general manager for ISV partners, Microsoft.
"We are pleased that CA Technologies has chosen to support the SQL Azure platform, easing the way for customers to migrate to cloud-based databases with assurance and confidence."
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