Challenges of big data storage and management
| Autor: | Rajeev Agrawal, Christopher Nyamful |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
010302 applied physics
Engineering business.industry Scale (chemistry) 05 social sciences Big data 050301 education General Medicine 01 natural sciences Data science Risk analysis (engineering) Data efficiency Service level 0103 physical sciences Computer data storage Overall performance business 0503 education Access time Data rate units |
| Zdroj: | Global Journal of Information Technology. 6 |
| ISSN: | 2301-2617 |
| DOI: | 10.18844/gjit.v6i1.383 |
| Popis: | The amount of data generated daily by industries, large organizations and research institute is increasing at a very fast rate. These huge volumes of data need to be kept not just for analytic purposes, but also in compliance with laws and service level agreements to protect and preserve data. Storage and management are major concern in this era of big data. The ability for storage devices to scale to meet the rate of data growth, enhance access time and data transfer rate is equally challenging. These factors, to a considerable extent, determine the overall performance of data storage and management. Big data storage requirements are complex and thus needs a holistic approach to mitigate its challenges. This paper examines the challenges of big data storage and management. In addition, we also examines existing current big data storage and management platforms and provide useful suggestions in mitigating these challenges.Keywords: big data, storage systems, challenges, performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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