This post examines how the data recovery industry will cope with emerging technologies that change how businesses interact with data, technologies such as Internet of things, cloud back up, and others.
In the past years, the data recovery industry has experienced steady growth courtesy of the increasing reliance on data to drive business decisions. Individuals and corporates alike are consuming data at unprecedented levels. Billions of new data sources are being added to the market every year. As people become reliant on this data for everyday life decisions, the need to secure and recover it in case of a breach or damage on devices will only increase. Here is a look at how new technologies might influence data recovery.
1. Cloud Backup and Data Recovery
The cloud computing market is expected to hit $623.3 billion by 2023 as more small and mid-sized companies adopt the use of cloud-based solutions. While cloud backup solutions provide secure and reliable storage, files can still get corrupted or deleted. In such cases, data recovery agencies will provide remote data recovery services. This is possible if service providers integrate tools such as DataNumen Office Repair and DataNumen Database Recovery in their data recovery solutions.
Cloud computing is likely to cause a surge in remote data recovery in certain industries. This doesn’t mean that in-lab data recovery will be irrelevant. On the contrary, companies offering cloud services will depend on such facilities for the recovery of data on corrupt storage media.
2. Internet of Things (IoT) and Data Recovery
As more industries embrace the use of IoT to automate various functions, more devices will be enabled to process and store data, albeit temporarily before transmitting it. In this case, data may be lost during transmission, or due to cyber-attacks and physical damage to devices.
Therefore, the ideal data recovery solutions will not only focus on the secure transmission of data packets from devices to backbone networks but also salvaging data from physically damaged devices. This will require software engineers and device manufacturers to incorporate data recovery techniques such as fountain and convolution coding to ensure proper exchange of information from one device to another.
3. Big Data and Data Recovery
Another frontier where data recovery is likely to experience tremendous growth is in big data. Although closely related to IoT, big data has a wider scope in terms of data size, speed, and variability. Therefore, recovering big data comes with its unique challenges.
The good news is that technologies that are used to process big data such as Hadoop and Cassandra provide experts with insights on how to create effective data recovery tools. These technologies will be pivotal in helping experts to scale up current data recovery tools to meet the demands in this space.
4. New Data Storage Technologies
Scientists continue to research new technologies that can be used to store large volumes of data per square inch. Examples of these revolutionary ways to store data include DNA, Shingled Magnetic Recording, and Helium drives. Each of these technologies will require unique data recovery techniques. For instance, experts will require Helium-filled labs to recover data from damaged Helium drives. This means upgrading current data recovery labs to the requirements of new technologies.
The future of data recovery will be anchored on the technologies that drive how data is generated, consumed, and stored. For instance, big data systems will require data recovery solutions that can handle tones of information and support a wide range of file formats. In the same breath, upcoming data storage techniques such as Helium drives and DNA will need recovery procedures and techniques that support the safe operation of these media. This is a good challenge as it will push the data recovery industry to steady growth.