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@@ -9,15 +9,15 @@ The data you store in {es} generally falls into one of two categories:
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* Content: a collection of items you want to search, such as a catalog of products
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* Time series data: a stream of continuously-generated timestamped data, such as log entries
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-Content might be frequently updated,
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-but the value of the content remains relatively constant over time.
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-You want to be able to retrieve items quickly regardless of how old they are.
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-
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-Time series data keeps accumulating over time, so you need strategies for
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-balancing the value of the data against the cost of storing it.
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-As it ages, it tends to become less important and less-frequently accessed,
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-so you can move it to less expensive, less performant hardware.
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-For your oldest data, what matters is that you have access to the data.
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+Content might be frequently updated,
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+but the value of the content remains relatively constant over time.
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+You want to be able to retrieve items quickly regardless of how old they are.
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+
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+Time series data keeps accumulating over time, so you need strategies for
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+balancing the value of the data against the cost of storing it.
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+As it ages, it tends to become less important and less-frequently accessed,
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+so you can move it to less expensive, less performant hardware.
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+For your oldest data, what matters is that you have access to the data.
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It's ok if queries take longer to complete.
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To help you manage your data, {es} offers you:
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@@ -26,7 +26,7 @@ To help you manage your data, {es} offers you:
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* <<data-stream-lifecycle, Data stream lifecycle>> which is the built-in lifecycle of data streams and addresses the most
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common lifecycle management needs.
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-preview::["The built-in data stream lifecycle is in technical preview and may be changed or removed in a future release. Elastic will apply best effort to fix any issues, but this feature is not subject to the support SLA of official GA features."]
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+preview::["The built-in data stream lifecycle is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but this feature is not subject to the support SLA of official GA features."]
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**{ilm-init}** can be used to manage both indices and data streams and it allows you to:
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@@ -34,8 +34,8 @@ preview::["The built-in data stream lifecycle is in technical preview and may be
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Data older than this period can be deleted by {es}.
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* Define <<data-tiers, multiple tiers>> of data nodes with different performance characteristics.
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* Automatically transition indices through the data tiers according to your performance needs and retention policies.
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-* Leverage <<searchable-snapshots, searchable snapshots>> stored in a remote repository to provide resiliency
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-for your older indices while reducing operating costs and maintaining search performance.
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+* Leverage <<searchable-snapshots, searchable snapshots>> stored in a remote repository to provide resiliency
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+for your older indices while reducing operating costs and maintaining search performance.
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* Perform <<async-search-intro, asynchronous searches>> of data stored on less-performant hardware.
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**Data stream lifecycle** is less feature rich but is focused on simplicity, so it allows you to easily:
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