The pros and cons of big data disaster recovery in the cloud

Big data is a relatively new discipline. Level 3 data recovery In its initial days, only a handful of large-scale IT enterprises had the infrastructure and resource to support big data initiatives. Database blob But the scenario is changing rapidly.


Database examples With big data finally becoming a mainstream business, quite a lot of IT companies are now exploring this avenue to provide their clients with insightful business intelligence.

The bigger concern, however, is whether the companies that deal with big data have proper disaster recovery plan in place to recover from a disastrous outage.

Let’s face it. Database knowledge The majority of small to mid-sized businesses can’t afford to build their own DC-DR infrastructure. H2 database Building DR capability has always been an expensive proposition. Nexus 5 data recovery The funds required to maintain a secondary data center often rule that option out immediately. Data recovery uk Opting for a cloud-based disaster recovery environment seems to be the most viable alternative for those companies.

While cloud-based disaster recovery strategy is getting widespread acceptance among big data initiatives, there are quite a few detractors as well. Database collation You need to carefully evaluate the pros and cons of disaster recovery in the cloud before making the final decision. Database yugioh The Pros

In the name of optimism, let’s start with the pros. Top 10 data recovery software free Listed below are the major benefits of using cloud for big data disaster recovery: Reduction in Cost

The biggest advantage of cloud is from the cost perspective. Data recovery vancouver bc You don’t need to make any initial investment on DR infrastructure. 7 data recovery suite crack The entire setup, including the servers, storage devices, and network equipment, is owned and maintained by the cloud service provider. Database normalization definition You just need to pay a monthly fixed price to use their infrastructure. Data recovery wizard Greater Scalability

Theoretically, a cluster of cloud servers can be infinitely scalable. Data recovery video It eliminates the physical capacity issues that plague traditional systems. Database query example As your data grows bigger, additional storage capacity gets allocated automatically. Database migration However, you are billed strictly on a consumption basis, so you only pay for the resources that you are actually using. Data recovery free This pay-as-you-go model can significantly reduce your procurement and provisioning headaches. Database vs spreadsheet Automated Replication

Cloud-based disaster recovery solutions offer the ability to replicate data automatically. Database name sql With synchronous replication, real-time copies of your data can be created and stored on the cloud server. Database management It ensures that you’ll be able to recover the most up-to-date information in case of an emergency. Data recovery miami You can even implement auto-failover and switchover to the cloud-based system when your primary data center goes down due to planned maintenance or unscheduled outage. H2 database viewer Quick Restoration

In a traditional offsite replication setup, you may need to reload and reconfigure your applications first, before restoring your data, which can unnecessarily delay the process of restoration. Database replication Cloud-based DR can replicate your entire environment, including your data, applications and their configurations. Database record In the event of a disaster, it would allow you to keep the downtime to an absolute minimum. Data recovery certification The Cons

While all those pros may make cloud-based big data disaster recovery plans seem like a no-brainer, every benefit has its downfall. Database programs Check out the cons below to get a better idea of what you’re in for: Security Concerns

Data integrity is a fundamental component of information security compliance. Raid 1 data recovery Retaining the accuracy and consistency of data is of the highest importance, no matter whether you are looking for a simple hard disk recovery or a cloud-based disaster recovery solution. Database 2016 C

loud environments are prone to security breaches related to broken authentication tokens, cross-site scripting attacks, sensitive data exposure vulnerabilities and brute-force attacks, which may result in data manipulation or data loss. Key value database Make sure that the access gateways and authorization functions are thoroughly protected to prevent information security and data privacy violations. Database mirroring Moreover, additional security measures must be implemented to ensure that the data is kept encrypted during inactive mode (stored on server disks) and while at transit. Data recovery techniques Third-Party Involvement

When you store data in the cloud, you must trust a third-party to keep it safe. Data recovery using linux Involvement of a third-party service provider may not go down well with your clients. Data recovery apple Companies that deal with stringent compliance regulations may not agree to place its sensitive data in the cloud. Data recovery google store It’s a genuine concern as the third-party could potentially access sensitive business data of your clients with malicious intent. Database works Dependency on Network Latency and Bandwidth

When internet is used for data transport, bandwidth and latency constraints must be taken into consideration. Data recovery cheap The overall performance of a cloud-based DR is entirely dependent on the provider’s network connectivity. Database of state incentives for renewables and efficiency As big data projects deal with massive data volume, slow network connection can adversely impact the restoration process. Data recovery usb stick Bandwidth limitation may result in missed recovery point and recovery time objectives.

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