{"id":3077,"date":"2019-06-14T14:16:23","date_gmt":"2019-06-14T18:16:23","guid":{"rendered":"https:\/\/solutionsreview.com\/backup-disaster-recovery\/?p=3077"},"modified":"2019-06-14T14:16:22","modified_gmt":"2019-06-14T18:16:22","slug":"4-key-ways-to-simplify-backing-up-large-datasets","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/backup-disaster-recovery\/4-key-ways-to-simplify-backing-up-large-datasets\/","title":{"rendered":"4 Key Ways to Simplify Backing Up Large Datasets"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3078\" src=\"https:\/\/solutionsreview.com\/backup-disaster-recovery\/files\/2019\/01\/4-Key-Ways-to-Simplify-Backing-Up-Large-Datasets.jpg\" alt=\"4 Key Ways to Simplify Backing Up Large Datasets\" width=\"800\" height=\"400\" srcset=\"https:\/\/solutionsreview.com\/backup-disaster-recovery\/files\/2019\/01\/4-Key-Ways-to-Simplify-Backing-Up-Large-Datasets.jpg 800w, https:\/\/solutionsreview.com\/backup-disaster-recovery\/files\/2019\/01\/4-Key-Ways-to-Simplify-Backing-Up-Large-Datasets-300x150.jpg 300w, https:\/\/solutionsreview.com\/backup-disaster-recovery\/files\/2019\/01\/4-Key-Ways-to-Simplify-Backing-Up-Large-Datasets-768x384.jpg 768w, https:\/\/solutionsreview.com\/backup-disaster-recovery\/files\/2019\/01\/4-Key-Ways-to-Simplify-Backing-Up-Large-Datasets-540x270.jpg 540w, https:\/\/solutionsreview.com\/backup-disaster-recovery\/files\/2019\/01\/4-Key-Ways-to-Simplify-Backing-Up-Large-Datasets-162x81.jpg 162w, https:\/\/solutionsreview.com\/backup-disaster-recovery\/files\/2019\/01\/4-Key-Ways-to-Simplify-Backing-Up-Large-Datasets-360x180.jpg 360w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\">The ultimate goal when restoring servers is to recover everything successfully. This is especially important for organizations with large datasets, as you need to determine how you\u2019ll recover your data before you figure out how you\u2019ll back it up. A large dataset is defined as comprising a data footprint of 5 TB or more. However, depending on what kind of data makes up a dataset, two separate 5 TB environments will need different data protection strategies. Backing up large datasets can be a headache, but we\u2019ve put together a list of\u00a0tips to simplify the process for you.<\/span><\/p>\n<p><span style=\"font-weight: 400\"><div class=\"widget\"><div class=\"aside-card\">\t\t\t<div class=\"textwidget\"><p><a class=\"speedbump-1\" href=\"https:\/\/solutionsreview.com\/backup-disaster-recovery\/get-a-free-backup-and-disaster-recovery-buyers-guide\/\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"alignleft size-full wp-image-1682\" title=\"Data Protection Vendor Map\" src=\"https:\/\/solutionsreview.com\/backup-disaster-recovery\/files\/2021\/05\/21_BUDR_SB_BG_Blue_800.gif\" \/><\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/span><\/p>\n<h3 style=\"text-align: justify\">Incremental Backups<\/h3>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\">A full backup of a large dataset can take hours, or even days, which can be very impractical. Because of this, incremental backups should be considered, rather than a full backup. <\/span><span style=\"font-weight: 400\">With this method, you only back up the data that changed since the last backup was performed. This can be beneficial, especially if your data is changing frequently, as such changes can affect the size of a backup. Through this approach, you\u2019ll cut down on the amount of time needed to complete a backup, while still maintaining the advantages of a full backup. <\/span><\/p>\n<h3 style=\"text-align: justify\">Scale-Out Systems<\/h3>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\">A scale-out backup system can assist in solving performance and capacity problems with large datasets. As your amount of data grows, you can add nodes with additional capacity and performance resources when using a system similar to scale-out NAS. A system like this works well for large datasets because it can offer remote backup, deduplication, and replication at a heightened speed. When you\u2019re able to reduce the amount of data you\u2019re managing and scale your environment, your critical data will be better protected from threats and system failures.<\/span><\/p>\n<h3 style=\"text-align: justify\">Data Protection<\/h3>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\">For overall protection against application or user error, snapshots can be a great help when backing up large datasets. A solution that provides an option for local copies of data in order\u00a0to\u00a0perform local restores is ideal for large datasets, as these restores are completed faster. Ensuring that you have a local copy as well as an image-based technology that can do snapshots and replications speeds up the backup process.<\/span><\/p>\n<h3 style=\"text-align: justify\">Data Sleuthing<\/h3>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\">Before any of the above tactics, it can be beneficial to evaluate the data you\u2019re looking to protect. Consider if protecting such a large amount of data is completely necessary. For example, data that is critical, aligns with the company\u2019s document retention policy, or is required by a federal or industry regulation must be protected. However, data that does not fall under those categories does not need to be part of your standard backup schedule. Taking the kind of data you\u2019re backing up into consideration allows you to conserve bandwidth and gain flexibility throughout the process.<\/span><\/p>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\">Backing up large datasets can be a difficult operation. However, this process is not impossible. By putting the above tactics into practice, you\u2019ll simplify what can be a tedious and time-consuming operation, thereby protecting your data with minimal complications.<\/span><\/p>\n<p style=\"text-align: justify\"><div class=\"hr hr\"><\/div><\/p>\n<p style=\"text-align: justify\">Looking for more information on backup and disaster recovery solutions? Consider downloading our\u00a0<a href=\"https:\/\/solutionsreview.com\/backup-disaster-recovery\/get-a-free-backup-and-disaster-recovery-buyers-guide\/\" target=\"_blank\" rel=\"noopener noreferrer\">Backup and Disaster Recovery Buyer\u2019s Guide!<\/a>\u00a0This free resource gives you the ability to compare the top 23 products available on the market with full page vendor profiles. The guide also offers five questions to ask yourself and five questions to ask your software provider before purchasing. It\u2019s the best resource for anyone looking to find the right backup and disaster recovery solution for their organization. Additionally, consider consulting our\u00a0<a href=\"https:\/\/solutionsreview.com\/backup-disaster-recovery\/get-free-disaster-recovery-service-buyers-guide\/\" target=\"_blank\" rel=\"noopener noreferrer\">Disaster Recovery as a Service Buyer\u2019s Guide,<\/a>\u00a0as well as our new\u00a0<a href=\"https:\/\/solutionsreview.com\/backup-disaster-recovery\/data-protection-vendor-map\/\" target=\"_blank\" rel=\"noopener noreferrer\">Data Protection Vendor Map,<\/a>\u00a0to assist you in selecting the right solution for your business.<\/p>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\"><div class=\"widget\"><div class=\"aside-card\">\t\t\t<div class=\"textwidget\"><p><a class=\"speedbump-3\" href=\"https:\/\/solutionsreview.com\/backup-disaster-recovery\/data-protection-vendor-map\/\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-1682\" title=\"Data Protection Vendor Map\" src=\"https:\/\/solutionsreview.com\/backup-disaster-recovery\/files\/2020\/02\/DP_VM_SB_800.jpg\" alt=\"Download Link to Data Protection Vendor Map\" width=\"800\" height=\"100\" \/><\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The ultimate goal when restoring servers is to recover everything successfully. This is especially important for organizations with large datasets, as you need to determine how you\u2019ll recover your data before you figure out how you\u2019ll back it up. A large dataset is defined as comprising a data footprint of 5 TB or more. However, [&hellip;]<\/p>\n","protected":false},"author":43,"featured_media":3078,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[30],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>4 Key Ways to Simplify Backing Up Large Datasets<\/title>\n<meta name=\"description\" content=\"Backing up large datasets can be a headache, but the process is not impossible. 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