{"id":12275,"date":"2023-06-26T07:00:00","date_gmt":"2023-06-26T15:00:00","guid":{"rendered":"https:\/\/formtek.com\/blog\/?p=12275"},"modified":"2022-09-02T15:16:17","modified_gmt":"2022-09-02T23:16:17","slug":"data-management-hot-and-cold-storage","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/data-management-hot-and-cold-storage\/","title":{"rendered":"Data Management: Hot and Cold Storage"},"content":{"rendered":"\n

Data Lifecycle management in the cloud has adopted the analogy of temperature to convey the relative expected frequency of access. Hot data is frequently accessed; warm is less frequent; and cold is data that is rarely used. The idea is an analog to the traditional idea behind tiered data storage.<\/p>\n\n\n\n

The three different categories of storage come with different costs, different times for access and retrieval, and often different physical locations.<\/p>\n\n\n

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\"\"<\/a>
From Aron Brand Blog on ctera.com<\/a><\/figcaption><\/figure>\n<\/div>\n\n\n

Hot storage often refers to data that is vital to your business, data referred to frequently, and data that needs to be retrievable very quickly. Hot storage often uses drives based on the latest storage technology and fastest protocols. Currently, solid-state drives fit this description. Solid state drives, for example, can sustain a large number of transactions and perform with low latency.<\/p>\n\n\n\n

Cold storage is for data that does not need access as quickly as hot storage. Cold data is often no longer active or relevant. This might include older project data, historical financial data, or HR data. Retrieval times for cold data are typically much slower than for hot data, but the costs tend to be considerably cheaper.<\/p>\n\n\n\n

Storage categories enable the business to define the proper performance and protection of the company data. Determining how to categorize business data can be challenging, but doing so makes businesses more efficient and organized, and it also often results in significant storage cost savings. <\/p>\n

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Data Lifecycle management in the cloud has adopted the analogy of temperature to convey the relative expected frequency of access. Hot data is frequently accessed; warm is less frequent; and cold is data that is rarely used. The idea is…<\/span><\/p>\n

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