{"id":24707,"date":"2018-02-10T04:19:55","date_gmt":"2018-02-10T04:19:55","guid":{"rendered":"https:\/\/www.smartdatacollective.com\/?p=24707"},"modified":"2023-01-19T19:53:08","modified_gmt":"2023-01-19T19:53:08","slug":"7-biggest-problems-data-storage-overcome","status":"publish","type":"post","link":"https:\/\/www.smartdatacollective.com\/7-biggest-problems-data-storage-overcome\/","title":{"rendered":"The 7 Biggest Problems in Data Storage – and How to Overcome Them"},"content":{"rendered":"\n

In today\u2019s data-intensive world, much enterprise focus settles on analytics; in other words, the central problem becomes what to do with all the data you\u2019ve collected. It\u2019s an important problem to solve, but you\u2019ll never get there if you don\u2019t have an efficient, long-term data storage solution to provide a stable foundation. After all, you can\u2019t analyze data if you have nowhere to put it<\/a>.<\/p>\n\n\n\n

Data storage is a key component of any business or organization, but it comes with its own set of challenges. The 7 biggest problems in data storage and how to overcome them are outlined below.<\/p>\n\n\n\n

One of main problem is insufficient data security measures. To ensure that your data remains secure, you should use an advanced encryption algorithm and a user authentication system. Additionally, implementing software such as AdBridge<\/a> can help you protect your data from unauthorized access.<\/p>\n\n\n\n

Another issue is the lack of scalability options when dealing with large amounts of data. To combat this, organizations should invest in cloud computing solutions so they can easily expand their current infrastructure when needed. Additionally, these solutions allow businesses to store their valuable information securely in the cloud at an affordable cost.<\/p>\n\n\n\n

So what are the biggest problems in data storage today, and how can you overcome them? Let’s take a look.<\/p>\n\n\n\n

The Biggest Problems<\/strong><\/h2>\n\n\n\n

These are some of the most important potential data storage issues you\u2019ll need to consider:<\/p>\n\n\n\n

1. Infrastructure. <\/strong>Data needs a place to rest, the same way objects need a shelf or container; data must occupy space. If you plan on storing vast amounts of data, you\u2019ll need the infrastructure necessary to store it, which often means investing in high-tech servers that will occupy significant space in your office or building. One of the easiest workarounds is to use cloud hosting and cloud storage<\/a>, which take advantage of another company\u2019s infrastructure to save you that space and the trouble of setting things up yourself.<\/p>\n\n\n\n

2. Cost. <\/strong>Running your own data center is an expensive operation. You\u2019ll need to spend money on initial setup, ongoing maintenance, and the costs associated with the people responsible for maintaining it. Again, the best solution here is to outsource the work; you\u2019ll probably have to pay a monthly fee, but it will save you money in the long run.<\/p>\n\n\n\n

3. Security.<\/strong> Security is a major issue to overcome. Hypothetically, if your data is stored somewhere, it\u2019s possible for a third party to obtain it. There are many layers of security that can help you prevent this unauthorized access, including encryption and reliance on third-party providers, but there\u2019s a limit to how well these can protect you\u2014even the FBI has trouble maintaining the security of its data when its own best practices aren\u2019t followed<\/a>. You\u2019ll need to run a tight operation, choosing the best partners and keeping your own team adhering to best practices at all times.<\/p>\n\n\n\n

4. Corruption. <\/strong>Practically every form of data storage has the potential to be corrupted. Stray particles can interfere with most forms of data storage, and anything relying on magnetic strips or electric storage can be corrupted by electromagnetic interference<\/a>. Even if there isn\u2019t an outside source directly interfering with it, data can naturally degrade over time. Your best bet for protection here is utilizing multiple backups.<\/p>\n\n\n\n

5. Scale.<\/strong> You might be able to find a storage solution that serves your current needs adequately, but what happens if those needs change suddenly? How will you account for your needs as they stand in 5 years? Your data storage solution needs some capacity to scale. Here, it pays to give yourself as many options as possible, since you won\u2019t be sure exactly how your needs will change in the future.<\/p>\n\n\n\n

6. UI and accessibility. <\/strong>Your data won\u2019t be much good to you if it\u2019s hard to access; after all, data storage is just a temporary measure so you can later analyze the data and put it to good use. Accordingly, you\u2019ll need some kind of system with an intuitive, accessible user interface (UI), and clean accessibility for whatever functionality you want.<\/p>\n\n\n\n

7. Compatibility. <\/strong>If you plan on using multiple systems or applications with your data, you\u2019ll need to ensure they\u2019re compatible. For that, you\u2019ll need to find a data storage partner with an open API and a clean system of transition.<\/p>\n\n\n\n

Other Complications<\/strong><\/h2>\n\n\n\n

These problems can be made even worse, depending on a handful of variables that may apply to your organization:<\/p>\n\n\n\n