What is the best approach to deal with data management? | Webwerks

What is the best approach to deal with data management?


While most IT operators are realizing the core value of their data, many are still finding ways to manage it. In today's business landscape, data is considered as an essential asset of the organization and thus, organization need to take good care of it. Many organizations are already executing master data management initiatives, but along with that they also have to manage different types of data produced by the new phase of digitization.

Organization are investing billions of dollars in data collecting practices every year, but the question is how do they manage this big data after its collection. This is what experts have to say.

Using Database as a Service (DbaaS) for management

DBaaS enable organizations to effectively manage the massive data growth and a range of databases. With the explosion of data, organizations are struggling to address data storage and processing demands. Experts suggests that DbaaS being a cloud solutions proves beneficial to solve these stressful data management problems. Here are a few benefits of using DbaaS for data management.

  • Easy large database storage: When it comes to storing large databases, DBaaS serves as the ideal platform as it is highly cost-effective and reliable. Scalable data solution has always been considered as a beneficial solution by businesses, given its cost-savings advantage. With the cloud solution, organizations can provision new databases securely and economically.
  • Ability to develop new applications: It allows users to create innovate applications and a range of distinct permissions to develop a unique end-user experience. While these applications are hosted on cloud servers, it further promotes better speed for application development and optimizes security.
  • Simplified management: DbaaS streamlines data management for a more complicated set of systems by automating all the operations. It eases the process of data management by letting organizations deploy a data tier that distributed and diverse while leaving configuration, patching, data provisioning, tuning, security and monitoring to a service provider.
  • Improved flexibility: Rather than buying hardware to address the growing requirements, IT managers can consider scaling up and down to better manage the needs of data flow, which is also a cost-effective way. Secondly, many hardware remain idle in the data center thus adding to the IT expenses and the ability to scale can eliminate this particular issue.
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