Big data is arriving from multiple sources at a high velocity, volume and variety. To manage big data, you need a strategy for handing this data that includes a data backup and recovery plan.
Big data is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. The Internet of Things (IoT) is generating the demand for a management plan for Big Data. Data is coming from specialized devices and applications and integrating with business applications. Businesses are integrating these specialized devices and applications with their core business processes for analytics and transactional business processing.
Big data must be incorporated in plans for search, development, governance and analytics. To relieve the pressure that big data is placing on your IT infrastructure, you can host some Big Data and analytics solutions on the cloud. Deciding on the correct mix of cloud storage and in-house storage is critical to a successful implementation that is using Big Data. To achieve economies and efficiencies, you can run certain analytics close to the data, while it is in motion. But for data you elect to store in-house, you can use a defensible disposal strategy that reduces the run rate of storage, legal expense and risk.
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, if an organization is not staffed or tooled to design and execute a Big Data backup strategy of this level of complexity, 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. A company should look to a service provider that specializes in complex backup strategies while leaving the IT staff time to manage the daily tactical and long-term strategic activities.