Change is inevitable but, for the IT industry in recent years, it’s been nothing short of significant and disruptive. The era of big data is providing enterprises significant opportunities to make better-informed business decision by leveraging analytics, artificial intelligence, and machine learning technologies.
WEI often works with clients in both areas of backup and disaster recovery at the same time. We find it’s often beneficial for them to be part of a single strategy since the function of backup and DR relates so closely together (recovering from some sort of event). They do have slightly different goals, however. With backup, you might be looking at a smaller data loss, such as accidental deletion or corruption of files.
The driver that wins the big race does not get as much credit for the win if he simply drove the fastest car on the track. After all, logic says the driver should win. A recent trend in data storage has been to migrate to all flash array storage solutions. Flash drives are certainly faster than HDD disks. For those enterprises that implement AFA storage arrays, performance is definitely fast, which it should be using the logic of the fastest racecar. However, there are companies that are achieving ultrafast performance without having to pay the premium price for high performance storage media. Now that is real innovation.
Some purchases require more planning than others do. This is certainly true when it comes to investing in a data storage solution. While applications may come and go, your company’s data lives on. Your data drives the majority of your business operations. One can argue that outside of your Internet gateway, no other facet of the data center has a greater impact on business operations and workloads.
Many enterprises are undergoing a digital transformation as they move towards business models that collect and use data as a strategic digital asset. This information is used to drive better insights and improve agility, but as the demands for in-depth collection, analysis, and response grow older, technologies can’t meet the evolving requirements.
Software defined storage (SDS) has the potential to revolutionize your business processes and drive extraordinary value. However, storage isn’t just measured by capacity. In our previous blog post, we laid out the example of thinking of your organization’s storage infrastructure like a virtual city: there are specific places designated for each type of data, from highly-utilized information to archives. Because of this, there is a true need for segmenting your resources; today, SDS is finally allocating true Automated Storage Tiering (AST) for enterprises. AST has created a natural and timely partnership with flash storage to offer the speed and performance that personal computing devices have enjoyed for years and many organizations are now considering all-flash based arrays to meet the demands of server virtualization.
There are a couple of reasons why organizations are slow to adopt software defined storage (SDS) when compared to its cousin, software defined networking (SDN). This is likely due to the concept of utilizing commoditized hardware. After all, if a switch goes down, it’s just a switch. If a RAID (Redundant Array of Independent Disks) goes beyond the point of degradation, it’s your own valuable data, which is why enterprises have been willing to pay such absorbent costs on proprietary disk array devices that boast enormous levels of redundancy. In addition, some of the terminology frequently used to describe various aspects of SDS can be confusing.
Organizations are currently faced with a cloud computing dilemma: should you use big data solutions or stick with the traditional data warehouse? If you choose the wrong platform to handle your company’s workload, you may find yourself shelling out hundreds or thousands of dollars in frivolous fees. Let’s take a look into what big data and the data warehouse can offer to help you determine which option is right for your organization.