Centralized Data Storage Management: A Worthy Friend

CDSM & Its Effectiveness

Centralized Data Storage Management or CDSM is defined as the ability to manage a holistic workload, using a single software and a Centralized Management Interface.

The CDSM serves as a storage of a wide range of file-level or unstructured data, structured or block-level data, Cloud or Object Level data. To cut short, CDSM is the ability to manage SAN, NAS, hyper-converged, and unified storage resources utilizing a single software solution.

CDSM is specifically the management and not the storage itself. Hence, it is not synonymous with Centralized Databases or Centralized data storage solutions.

To understand the utilization of CDSM, it simplifies the storage experience for enterprise users, we must keep in mind that while using a single purpose-built storage solution, the dedicated software is all we need. There is no need of a plethora of tools to manage this one type of storage either on-premises, off-site, or in the cloud. One tool is good enough.

Currently, maximum businesses aren’t dealing with a single type of data. Therefore, they certainly can’t use a single-purpose-built storage solution.

Given that it’s a data-driven enterprise relying on data-driven decisions, they probably have SAN system for different types of databases and a NAS system for file storage. The contemporary age is the age of Hyperconverged Infrastructure (HCI) which most likely uses a hyper-converged appliance as a part of data center. Hence, along with legacy solutions, dedicated tools for purpose-built storage solutions are used, resulting into an everyday operational difficulty and complex Database Administrators or DBAs.

With CDSM, DBAs can look after voluminous high-density workloads, which is too complex to be handled with legacy solutions or with multiple management tools.

Amidst the competitive storage management industry, the difficulty is to differentiate the truly capable centralized management software from the "well-advertised" management software. The cheat-code for this dilemma is to look for a management software i.e., software-defined like HPE software-defined storage, IBM spectrum, StoneFly SCVM, and others. The reason; if it’s software-defined then it’s not built for a specific server but it resurrects a server and defines its purpose.

SOFTWARE-DEFINED CDSM

Another important observation should be, not all software-defined solutions are Centralized Management Solutions; that the list of features should be compatible with the workload running the data centers and supported by desired software. Software-defined should not be restricted by a server which makes it an important body of a true centralized management system.

Now, Enterprise data centers undergo a variety of workload and running dedicated software to manage the results in complexity, inefficiency, and sluggishness of DBAs.

Centralized Management Softwares initiate a new-age simpler, prompt, and efficient process, thereby making life easier for DBAs and data center owners.

ORIGINS OF DBMS

The early computers cost much and did not have any separate terminals. This naturally leads to a desire for centralized computing. This was a way not just for the data to be processed but also to be organized and stored and thus database management systems (DBMS) came into the scene.

Many varieties of database orientations and designs were launched. Today, centralized databases are used in storing as well as processing data in big establishments.

Against the other kinds of databases, centralized databases hold an edge in many ways. To begin with, these databases work to maximize data integrity and minimize data redundancy. Data reliability is also enhanced as a single storing place that ensures the accuracy and consistency of the data. Furthermore, data can be seamlessly analyzed, re-organized, and mirrored as well. Security is enhanced since all the data is stored in one single location- being the only place from where it can be breached or stolen. The ‘Fault-tolerant-setup’ allows for an augmented preservation of data. Additionally, it is easier to use with a straightforward data portability and database administration. With the minimization of costs regarding labor, power supply, and maintenance, it is a cost-effective alternative.

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