{"id":856,"date":"2019-11-26T10:58:00","date_gmt":"2019-11-26T15:58:00","guid":{"rendered":"https:\/\/treehousetechgroup.com\/?p=856"},"modified":"2021-05-20T11:09:22","modified_gmt":"2021-05-20T15:09:22","slug":"how-is-data-stored","status":"publish","type":"post","link":"https:\/\/treehousetechgroup.com\/how-is-data-stored\/","title":{"rendered":"How is Data Stored?"},"content":{"rendered":"\n
While data is acknowledged as the basis for business strategy and competitive advantage, the storage of that same data is often overlooked, or treated as a commodity. It\u2019s time to change that — because how data is stored has a profound impact on your business, affecting data security, productivity, and costs. <\/p>\n\n\n\n
Why the right data storage strategy is important: <\/strong><\/p>\n\n\n\n
So let\u2019s start by asking: why is it so important to make the right data storage decisions? <\/p>\n\n\n\n
Security<\/strong>: The most important role of storage is to keep your data secure. Data is at risk from virus or hacking attacks, or from being deleted accidentally, and the loss of data is usually a serious business loss. Data storage needs to be designed to keep data stored securely and backed up.<\/li><\/ul>\n\n\n\n
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Compliance<\/strong>: A number of regulations specify how an enterprise should store data, and for how long, so storage systems and protocols must be designed for compliance.<\/li><\/ul>\n\n\n\n
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Productivity<\/strong>: Do stakeholders have access to the data that they need, when they need it? Convenient access to data is a key driver of productivity throughout the organization.<\/li><\/ul>\n\n\n\n
Ultimately, when it comes to data security, there\u2019s a lot at stake, so it\u2019s important to get it right by developing a storage strategy and architecture that map to your specific business needs.<\/p>\n\n\n\n
What is the right data storage architecture for you?<\/strong><\/p>\n\n\n\n
How do you design your storage architecture and what are the best practices in storage? Start by examining the following questions to arrive at the answers:<\/p>\n\n\n\n
What is the application, and how does storage need to support computing?<\/strong> Systems that have heavy loads and high speed requirements need storage systems that can support this. Cloud storage is often chosen as it offers elasticity and scalability, making additional processing power available when required.<\/li><\/ul>\n\n\n\n
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What is the value of this data to the business?<\/strong> Here, two metrics, Recovery Point Objectives<\/strong> (RPOs) and Recovery Time Objectives<\/strong> (RTOs), are often used to arrive at a data protection plan. RPOs define the maximum acceptable time of data loss, or, in other words, the maximum age of the backup. RTOs define how quickly you need to resume operation if the application goes down. If RPOs and RTOs are very short, then you may need to move away from scheduled backups and towards continuous replication of data. You may need to store your data in multiple data centers in different geographical locations.
While planning backups, recovery or replication, you need to prevent redundant data from accumulating. You will need a process to identify redundant data and delete it without impacting operations.<\/li><\/ul>\n\n\n\n