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What is the connection between big data technologies and business disaster recovery procedures? Disaster recovery and business continuity technologies have come a long way in the last few years. Technologies like big data and cloud computing have changed how businesses protect, secure, and restore their systems and data. Big data and data analytics have a genuine value when business or organization continuity (BCP) is concerned.
Data analytics is all about providing a complete picture of the business. By applying data analytics to disaster recovery, an organization can better predict critical incidents, analyze the effectiveness of its recovery processes, and restore its systems far more quickly than would otherwise be possible.
A business can also reduce the cost of backup operations, simplify its data management processes, and improve when and how it backups data and systems.
However, applying big data to business continuity isn’t exactly a simple task. There are multiple factors that have to be taken into account, according to datamation.com.
- Data Hygiene. How organized is your data? Do you know where everything is stored, how it’s accessed, and how it’s used? If you were to be audited under a regulation such as the EU General Data Protection Regulation (GDPR), would you be fined for how you manage things?
- Analytics Tools. Not all data analytics platforms are created equal. Seek an option which supports predictive analysis, and one which will integrate well into your current systems and strategies.
- IT Environment. Has your organization started using IoT devices? What about cloud computing?
Both of these technologies can be used to great effect when incorporating analytics into your disaster recovery processes – the former because of the data it collects, and the latter because of the processing power it provides.
- Existing disaster recovery processes. Big data should not be viewed as the solution for poor disaster recovery. You need to optimize your business continuity plans as much as possible before implementing analytics – you can then use that data to further improve things.
● Storage Space. Ironically, applying big data to disaster recovery can actually create an additional challenge – you’ll likely want to backup your analytics data, after all, and that data takes up a lot of space. You may need to invest in more storage space and a non-traditional database for that.
Want to learn more about big data in business recovery and many other aspects? Various solutions for big data challenges in both the civilian and military spheres will be discussed and presented at the coming Big Data for HLS Conference and Exhibition.
The event will be held on February 21st at the Lago Conference Center in Rishon LeZion, with the participation of the leading experts and industries of the big data ecosystem in Israel and abroad.