Big Data Requires a Data Backup and Recovery Strategy

Because of the wide-ranging benefits that small and medium size businesses can gain from Big Data in today’s competitive world, many are implementing a local Big Data strategy.

Many companies feel that this is a monumental task that requires changes in all parts of the business. CITO Research developed a paper sponsored by Teradata called How to Stop Small Thinking from Preventing Big Data Victories. The paper states:Big data backup

“The right approach acknowledges that big data and data science efforts are evolutionary and incorporate new technologies and processes into existing ones. It is not about starting over, but about improving current models with new techniques and technologies, enriching those models with an ever-increasing amount of data: next-generation data architecture”

Although the transition to the benefits of Big Data are not a ‘all or nothing’ proposition, the data strategy does need to be evaluated. A data strategy is never complete without a Data Backup and Recovery strategy. A Big Data implementation presents a need for even more focus on the ability to recover from a catastrophic event quickly. However, the SMB is not often staffed or tooled to design and execute a backup strategy of this level of complexity.  The other consideration is that data backup and recovery can be managed remotely without having the live data be transferred to or running in a cloud environment.

There are Data Backup/Recovery Managed Service Providers (DB/R MSP) that provide remote management of the Backup process, along with professional Disaster Backup and Recovery consultation. Contracting an DB/R MSP with the model of remote DB/R management allows the SMB to maintain their data locally without the need to hire new staff or train existing staff in sophisticated data backup and recovery processes. Additionally, the SMB can have a comprehensive Data Backup and Recovery strategy while housing their Big Data locally.

As companies continue to require comprehensive data analytics using Big Data to remain competitive, then the need for sophisticated data backup and recovery processes will continue to increase in importance.

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