Big data, as the name implies, is big. Massive, in fact, and it's growing at a rapid pace each day. As big data grows, it becomes more difficult to manage and use effectively. In short, there's simply too much of it. This new technology can quickly morph from a valuable source of insights to an overwhelming beast. That's where data management can help.
Many organizations mistakenly believe that the problem with big data centers solely on storage. For example, "Companies using SAP® are experiencing rapid data growth through expansion or acquisitions. Keeping transactional data online, particularly after it is closed, is expensive, impractical and fraught with risk. The real challenge is not storage but data management. They are rapidly growing causing system performance and productivity to plummet, frustrating users and saddling IT with higher maintenance costs.
What happens if you don't have a good database volume management system in place?
According to an article featured on Electric Light and Power's website, Big Data Jolts Utilities:
Why Harnessing Big Data Will Help Companies Surge, typical problems that can occur include:
Data management helps to overcome the problems associated with too much data by prioritizing and moving data.
For example, think about how you use databases when filing your income taxes each year. You need last year's data in order to prepare last year's tax returns, and you need to keep all current data readily available for next year's taxes. You no longer need receipts from two, three, five, or even ten years ago, yet you need to hang on to all that data should you ever get audited. Assuming this databases took up most of your hard drive, you'd want to manage it. Using a data management approach, you'd keep the data that you need to file your tax return on your hard drive and move the older tax data to an archive.
This is exactly what data management does to big data. It moves the data that you need for legal compliance, historical records, and other purposes into a data archive (or near line storage system depending on your needs) while keeping the data that you access on a regular basis on primary storage systems. This significantly reduces bandwidth, storage, and processing power requirements while ensuring that all data is readily accessible should you need it.
Seeking for SAP system, contact Alenu Group Today! at (65) 6884 5030 Many organizations mistakenly believe that the problem with big data centers solely on storage. For example, "Companies using SAP® are experiencing rapid data growth through expansion or acquisitions. Keeping transactional data online, particularly after it is closed, is expensive, impractical and fraught with risk. The real challenge is not storage but data management. They are rapidly growing causing system performance and productivity to plummet, frustrating users and saddling IT with higher maintenance costs.
What happens if you don't have a good database volume management system in place?
According to an article featured on Electric Light and Power's website, Big Data Jolts Utilities:
Why Harnessing Big Data Will Help Companies Surge, typical problems that can occur include:
- IT strain -- Big databases grows fast, requiring more and more IT resources including bandwidth, storage, and processing power. As data gobbles up more network resources, users become frustrated with sluggish performance. In an attempt to satisfy users, IT must invest in bandwidth, storage, and processing power, putting another type of strain on the IT department: budgetary strain.
- Increased complexity -- As big data continues to grow and new initiatives adopted, operational issues become more complex.
- System maintenance takes longer -- It takes much longer for administrators to perform system maintenance tasks such as backups and restores when data grows. The more data there is to back up, the longer it takes to back it up. For organizations that operate around the clock, such as electric and gas utilities, there's never a good time to go offline for system maintenance. Shortening the amount of time system maintenance requires is essential.
(Source: Electric Light & Power, "Big Data Jolts Utilities - Why Harnessing Big Data Will Help Companies Surge")
Data management helps to overcome the problems associated with too much data by prioritizing and moving data.
For example, think about how you use databases when filing your income taxes each year. You need last year's data in order to prepare last year's tax returns, and you need to keep all current data readily available for next year's taxes. You no longer need receipts from two, three, five, or even ten years ago, yet you need to hang on to all that data should you ever get audited. Assuming this databases took up most of your hard drive, you'd want to manage it. Using a data management approach, you'd keep the data that you need to file your tax return on your hard drive and move the older tax data to an archive.
This is exactly what data management does to big data. It moves the data that you need for legal compliance, historical records, and other purposes into a data archive (or near line storage system depending on your needs) while keeping the data that you access on a regular basis on primary storage systems. This significantly reduces bandwidth, storage, and processing power requirements while ensuring that all data is readily accessible should you need it.
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