Since ancient times, data is the most sought after asset of an organization. As digital storage methods were adopted, data loss was a problem area for organizations. Many IT tools and organizations like Oracle, SQL, became famous for managing data resources.
Moving from the old digital methods to managing large data centers, no method has been invented where we can have zero data loss during the data recovery process.
Advanced technologies like cloud storage, virtual storage, data mining, and storage techniques are developed by IT professionals. But none of the methods could meet the need of organizations to save the data for a long time without any loss.
IT experts and financial analysts have come to the conclusion that a big storage cart and a big team can’t do the trick. It is seen that many organizations have closed their local server storage rooms, personal data centers, etc.
Instead, a hybrid data collection model is adopted that allows organizations to store data on remote resources by maintaining a public or private cloud infrastructure.
When accessing, maintaining, and retrieving data, security has become a major issue that has forced IT professionals to invent new methods of data storage and retrieval.
Many organizations are implementing the common storage concept. This has reduced capital expenditures (CAPEX) and operating expenses (OPEX) with the ability to quickly scale and recover data from an aging resource.
In 2015, high-end complex software-defined storage (SDS) systems were the major trend changing the view of data recovery. Trends include the need for better data privacy and security along with improved legacy data management technologies.
The four major transformations in database storage will be:
1) Data Protection as a Service Initiative
2) Database as part of the cloud service
3) In 2016 there will be new applications aligned for DBAs and application managers.
4) A well-defined DBA role to maintain data protection oversight for zero-loss recovery
According to the market survey, the global storage volume will double by 2019.
1. Using the cross-platform approach in diversifying data creation and storage
Different organizations rely on techniques to maintain data remotely. Cloud storage has become one of the most demanding forms of storage. As the data is stored in the variable formats using the standard tools. A centralized retrieval of data regardless of its origin is preferred for future use.
Data Loss Prevention (DLP) techniques have been on the market for 10 years, but many do not pay attention to them due to their high cost. A normal DLP process involves:
1) Keeping sensitive data to be only private
2) Control over the output data flow
3) Standard Software Implementation with Full Data Recovery Licensed Versions
4) Virus-free data with defined data dictionaries and source file encoding
2. Increased demand to build disaster recovery capabilities
The reliance on digital storage is now 100%. Disaster recovery methods can only protect business data in the event of a total database failure. Additionally, social and environmental issues are having an impact on data storage methods. In 2016 the trend of duplicating the data will continue.
The main disaster management methods will include:
1) Hybrid infrastructure is the only solution for future data prevention.
2) Ties and alliances are causing great difficulties in recovering old data. Using the data center will be the right choice in such cases.
3) The transfer of data from one platform to another causes the loss of definition and integrity of the original data, which must be preserved. A standard format should be adopted that is convertible in order to have minimal loss.
3. Deployment of emerging IT platforms on existing infrastructure
In the last 10 years, many repositories are being created to serve various sectors like IT, healthcare, financial sector, etc. The responsibility for maintaining them is assumed by the IT companies. This provides a high recovery rate and also ensures data privacy. A new IT trend is to attach repositories to clouds. But the requirement to use innovative new techniques to create lighter clouds is required. In the year 2016, we will continue to investigate the methods to create such platforms and transfer more and more data to the clouds with the extended security and privacy options.
In 2013, a new wave of “do it yourself because you know your data best” began. The time spent explaining the organization’s data to an external IT company was a difficult process.
ERP software is used for the storage and retrieval of big data. IT companies can now recover data in a better way. The same trend will continue in 2016.
4. Shortest mission recovery time and objectives for penetrating environments
IT professionals are always working under pressure to provide new methods for database recovery. They have developed short recovery modules without data loss. But these modules need to be customized according to the required data. Hence, the development of these environments is always demanding. They require suitable formats of the databases. Maintaining business data, emails, financial data, and other important data that is an asset to the organization has become a sore area for most of the older organizations. Faced with such a dilemma, organizations are unable to opt for the best technology.
The goal in 2016 will be to apply and recover most of the data from these organizations. Virtual data methods will be applied through the use of automated cleanup and modification tools.
5. Highly priced performance-oriented services in 2016
Data volumes are increasing, data backup and recovery is becoming difficult, and the profit margin on high-volume log updating is lower. The new term called recovery per unit of data loss is becoming the yardstick for pricing recovery. Prices will be more to recover per data volume with low data loss in 2016.
Proactive measures to recover data increase convenience, and if done regularly, the chances of maintaining accurate data with less redundancy increase. The new methods of dividing data on the basis of categories never allow you to turn the volume up very high.
So finally, the followed trends of 2016 in data recovery will be to go for cloud storage and more virtualization techniques. Data recovery will move around the four terms.
Cloud: Data protection as a service.
Mobile: Push data to the edge.
Social: Definition of new data formats.
Big Data: Protection of the most necessary data.