[DOCS] Changes wording to move away from data frame terminology in the ES repo (#47093)

* [DOCS] Changes wording to move away from data frame terminology in the ES repo.
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>

docs/java-rest/high-level/transform/stop_transform.asciidoc

@@ -21,7 +21,7 @@ list of IDs or a single ID. Wildcards, `*` and `_all` are also accepted.
 ---------------------------------------------------
 include-tagged::{doc-tests-file}[{api}-request]
 ---------------------------------------------------
-<1> Constructing a new stop request referencing an existing {transform}
+<1> Constructing a new stop request referencing an existing {transform}.
 
 ==== Optional arguments
 
@@ -31,7 +31,7 @@ The following arguments are optional.
 --------------------------------------------------
 include-tagged::{doc-tests-file}[{api}-request-options]
 --------------------------------------------------
-<1> If true wait for the transform task to stop before responding
+<1> If true wait for the {transform} task to stop before responding.
 <2> Controls the amount of time to wait until the {transform} stops.
 <3> Whether to ignore if a wildcard expression matches no {transforms}.
 

docs/reference/ml/df-analytics/apis/dfanalyticsresources.asciidoc

@@ -180,7 +180,7 @@ hyperparameter optimization to give minimum validation errors.
 ===== Standard parameters
 
 `dependent_variable`::
-  (Required, string) Defines which field of the {dataframe} is to be predicted. 
+  (Required, string) Defines which field of the document is to be predicted. 
   This parameter is supplied by field name and must match one of the fields in 
   the index being used to train. If this field is missing from a document, then 
   that document will not be used for training, but a prediction with the trained 

docs/reference/ml/df-analytics/apis/evaluateresources.asciidoc

@@ -30,9 +30,9 @@ Available evaluation types:
 ==== Binary soft classification configuration objects
 
 Binary soft classification evaluates the results of an analysis which outputs 
-the probability that each {dataframe} row belongs to a certain class. For 
+the probability that each document belongs to a certain class. For 
 example, in the context of outlier detection, the analysis outputs the 
-probability whether each row is an outlier.
+probability whether each document is an outlier.
 
 [discrete]
 [[binary-sc-resources-properties]]

docs/reference/settings/ml-settings.asciidoc

@@ -66,14 +66,13 @@ affected when you update this setting. For more information about the
 
 `xpack.ml.max_open_jobs` (<<cluster-update-settings,Dynamic>>)::
 The maximum number of jobs that can run simultaneously on a node. Defaults to
-`20`. In this context, jobs include both anomaly detector jobs and data frame
+`20`. In this context, jobs include both {anomaly-jobs} and {dfanalytics-jobs}. 
-analytics jobs. The maximum number of jobs is also constrained by memory usage.
+The maximum number of jobs is also constrained by memory usage. Thus if the 
-Thus if the estimated memory usage of the jobs would be higher than allowed,
+estimated memory usage of the jobs would be higher than allowed, fewer jobs will 
-fewer jobs will run on a node. Prior to version 7.1, this setting was a per-node
+run on a node. Prior to version 7.1, this setting was a per-node non-dynamic 
-non-dynamic setting. It became a cluster-wide dynamic
+setting. It became a cluster-wide dynamic setting in version 7.1. As a result, 
-setting in version 7.1. As a result, changes to its value after node startup
+changes to its value after node startup are used only after every node in the 
-are used only after every node in the cluster is running version 7.1 or higher.
+cluster is running version 7.1 or higher. The maximum permitted value is `512`.
-The maximum permitted value is `512`.
 
 `xpack.ml.node_concurrent_job_allocations` (<<cluster-update-settings,Dynamic>>)::
 The maximum number of jobs that can concurrently be in the `opening` state on

docs/reference/transform/examples.asciidoc

@@ -21,11 +21,11 @@ step-by-step example, see
 [[example-best-customers]]
 ==== Finding your best customers
 
-In this example, we use the eCommerce orders sample dataset to find the customers 
+In this example, we use the eCommerce orders sample dataset to find the 
-who spent the most in our hypothetical webshop. Let's transform the data such 
+customers who spent the most in our hypothetical webshop. Let's transform the 
-that the destination index contains the number of orders, the total price of 
+data such that the destination index contains the number of orders, the total 
-the orders, the amount of unique products and the average price per order, 
+price of the orders, the amount of unique products and the average price per 
-and the total amount of ordered products for each customer.
+order, and the total amount of ordered products for each customer.
 
 [source,console]
 ----------------------------------
@@ -97,7 +97,7 @@ This {dataframe} makes it easier to answer questions such as:
 * Which customers ordered the least number of different products?
 
 It's possible to answer these questions using aggregations alone, however 
-{dataframes} allow us to persist this data as a customer centric index. This 
+{transforms} allow us to persist this data as a customer centric index. This 
 enables us to analyze data at scale and gives more flexibility to explore and 
 navigate data from a customer centric perspective. In some cases, it can even 
 make creating visualizations much simpler.
@@ -275,9 +275,9 @@ POST _data_frame/transforms/_preview
 ----------------------------------
 // TEST[skip:setup kibana sample data]
 
-<1> This range query limits the {transform} to documents that are within the last 
+<1> This range query limits the {transform} to documents that are within the 
-30 days at the point in time the {transform} checkpoint is processed. 
+last 30 days at the point in time the {transform} checkpoint is processed. For 
-For batch {dataframes} this occurs once.
+batch {transforms} this occurs once.
 <2> This is the destination index for the {dataframe}. It is ignored by 
 `_preview`.
 <3> The data is grouped by the `clientip` field. 

docs/reference/transform/limitations.asciidoc

@@ -8,30 +8,30 @@
 
 beta[]
 
-The following limitations and known problems apply to the 7.4 release of 
+The following limitations and known problems apply to the {version} release of 
-the Elastic {dataframe} feature:
+the Elastic {transform} feature:
+
 
 [float]
 [[transform-compatibility-limitations]]
 ==== Beta {transforms} do not have guaranteed backwards or forwards compatibility
 
-Whilst {transforms} are beta, it is not guaranteed that a 
+Whilst {transforms} are beta, it is not guaranteed that a {transform} created in 
-{transform} created in a previous version of the {stack} will be able 
+a previous version of the {stack} will be able to start and operate in a future 
-to start and operate in a future version. Neither can support be provided for 
+version. Neither can support be provided for {transform} tasks to be able to 
-{transform} tasks to be able to operate in a cluster with mixed node 
+operate in a cluster with mixed node versions. Please note that the output of a 
-versions. 
+{transform} is persisted to a destination index. This is a normal {es} index and 
-Please note that the output of a {transform} is persisted to a 
+is not affected by the beta status. 
-destination index. This is a normal {es} index and is not affected by the beta 
+
-status. 
 
 [float]
 [[transform-ui-limitation]]
-==== {dataframe-cap} UI will not work during a rolling upgrade from 7.2
+==== {transforms-cap} UI will not work during a rolling upgrade from 7.2
 
 If your cluster contains mixed version nodes, for example during a rolling 
-upgrade from 7.2 to a newer version, and {transforms} have been 
+upgrade from 7.2 to a newer version, and {transforms} have been created in 7.2, 
-created in 7.2, the {dataframe} UI will not work. Please wait until all nodes 
+the {transforms} UI (earler {dataframe} UI) will not work. Please wait until all 
-have been upgraded to the newer version before using the {dataframe} UI.
+nodes have been upgraded to the newer version before using the {transforms} UI.
 
 
 [float]
@@ -42,21 +42,23 @@ have been upgraded to the newer version before using the {dataframe} UI.
 the API. If you try to create one, the UI will fail to show the source index 
 table.
 
+
 [float]
 [[transform-ccs-limitations]]
 ==== {ccs-cap} is not supported
 
 {ccs-cap} is not supported for {transforms}.
 
+
 [float]
 [[transform-kibana-limitations]]
 ==== Up to 1,000 {transforms} are supported
 
-A single cluster will support up to 1,000 {transforms}.
+A single cluster will support up to 1,000 {transforms}. When using the 
-When using the 
+{ref}/get-transform.html[GET {transforms} API] a total `count` of {transforms} 
-{ref}/get-transform.html[GET {transforms} API] a total 
+is returned. Use the `size` and `from` parameters to enumerate through the full 
-`count` of {transforms} is returned. Use the `size` and `from` parameters to 
+list.
-enumerate through the full list.
+
 
 [float]
 [[transform-aggresponse-limitations]]
@@ -76,6 +78,7 @@ workaround, you may define custom mappings prior to starting the
 {ref}/indices-create-index.html[create a custom destination index] or 
 {ref}/indices-templates.html[define an index template].
 
+
 [float]
 [[transform-batch-limitations]]
 ==== Batch {transforms} may not account for changed documents
@@ -87,18 +90,18 @@ do not yet support a search context, therefore if the source data is changed
 (deleted, updated, added) while the batch {dataframe} is in progress, then the 
 results may not include these changes.
 
+
 [float]
 [[transform-consistency-limitations]]
-==== {cdataframe-cap} consistency does not account for deleted or updated documents
+==== {ctransform-cap} consistency does not account for deleted or updated documents
 
-While the process for {transforms} allows the continual recalculation 
+While the process for {transforms} allows the continual recalculation of the 
-of the {transform} as new data is being ingested, it does also have 
+{transform} as new data is being ingested, it does also have some limitations.
-some limitations.
 
-Changed entities will only be identified if their time field 
+Changed entities will only be identified if their time field has also been 
-has also been updated and falls within the range of the action to check for 
+updated and falls within the range of the action to check for changes. This has 
-changes. This has been designed in principle for, and is suited to, the use case 
+been designed in principle for, and is suited to, the use case where new data is 
-where new data is given a timestamp for the time of ingest. 
+given a timestamp for the time of ingest. 
 
 If the indices that fall within the scope of the source index pattern are 
 removed, for example when deleting historical time-based indices, then the 
@@ -106,29 +109,30 @@ composite aggregation performed in consecutive checkpoint processing will search
 over different source data, and entities that only existed in the deleted index 
 will not be removed from the {dataframe} destination index.
 
-Depending on your use case, you may wish to recreate the {transform} 
+Depending on your use case, you may wish to recreate the {transform} entirely 
-entirely after deletions. Alternatively, if your use case is tolerant to 
+after deletions. Alternatively, if your use case is tolerant to historical 
-historical archiving, you may wish to include a max ingest timestamp in your 
+archiving, you may wish to include a max ingest timestamp in your aggregation. 
-aggregation. This will allow you to exclude results that have not been recently 
+This will allow you to exclude results that have not been recently updated when 
-updated when viewing the {dataframe} destination index.
+viewing the destination index.
 
 
 [float]
 [[transform-deletion-limitations]]
-==== Deleting a {transform} does not delete the {dataframe} destination index or {kib} index pattern
+==== Deleting a {transform} does not delete the destination index or {kib} index pattern
 
 When deleting a {transform} using `DELETE _data_frame/transforms/index` 
-neither the {dataframe} destination index nor the {kib} index pattern, should 
+neither the destination index nor the {kib} index pattern, should one have been 
-one have been created, are deleted. These objects must be deleted separately.
+created, are deleted. These objects must be deleted separately.
+
 
 [float]
 [[transform-aggregation-page-limitations]]
 ==== Handling dynamic adjustment of aggregation page size
 
-During the development of {transforms}, control was favoured over 
+During the development of {transforms}, control was favoured over performance. 
-performance. In the design considerations, it is preferred for the 
+In the design considerations, it is preferred for the {transform} to take longer 
-{transform} to take longer to complete quietly in the background 
+to complete quietly in the background rather than to finish quickly and take 
-rather than to finish quickly and take precedence in resource consumption.
+precedence in resource consumption.
 
 Composite aggregations are well suited for high cardinality data enabling 
 pagination through results. If a {ref}/circuit-breaker.html[circuit breaker] 
@@ -138,19 +142,18 @@ calculated based upon all activity within the cluster, not just activity from
 {transforms}, so it therefore may only be a temporary resource 
 availability issue.
 
-For a batch {transform}, the number of buckets requested is only ever 
+For a batch {transform}, the number of buckets requested is only ever adjusted 
-adjusted downwards. The lowering of value may result in a longer duration for the 
+downwards. The lowering of value may result in a longer duration for the 
-{transform} checkpoint to complete. For {cdataframes}, the number of 
+{transform} checkpoint to complete. For {ctransforms}, the number of buckets 
-buckets requested is reset back to its default at the start of every checkpoint 
+requested is reset back to its default at the start of every checkpoint and it 
-and it is possible for circuit breaker exceptions to occur repeatedly in the 
+is possible for circuit breaker exceptions to occur repeatedly in the {es} logs. 
-{es} logs. 
+
+The {transform} retrieves data in batches which means it calculates several 
+buckets at once. Per default this is 500 buckets per search/index operation. The 
+default can be changed using `max_page_search_size` and the minimum value is 10. 
+If failures still occur once the number of buckets requested has been reduced to 
+its minimum, then the {transform} will be set to a failed state.
 
-The {transform} retrieves data in batches which means it calculates 
-several buckets at once. Per default this is 500 buckets per search/index 
-operation. The default can be changed using `max_page_search_size` and the 
-minimum value is 10. If failures still occur once the number of buckets 
-requested has been reduced to its minimum, then the {transform} will 
-be set to a failed state.
 
 [float]
 [[transform-dynamic-adjustments-limitations]]
@@ -158,9 +161,9 @@ be set to a failed state.
 
 For each checkpoint, entities are identified that have changed since the last 
 time the check was performed. This list of changed entities is supplied as a 
-{ref}/query-dsl-terms-query.html[terms query] to the {transform} 
+{ref}/query-dsl-terms-query.html[terms query] to the {transform} composite 
-composite aggregation, one page at a time. Then updates are applied to the 
+aggregation, one page at a time. Then updates are applied to the destination 
-destination index for each page of entities.
+index for each page of entities.
 
 The page `size` is defined by `max_page_search_size` which is also used to 
 define the number of buckets returned by the composite aggregation search. The 
@@ -175,6 +178,7 @@ is 65536. If `max_page_search_size` exceeds `index.max_terms_count` the
 Using smaller values for `max_page_search_size` may result in a longer duration 
 for the {transform} checkpoint to complete.
 
+
 [float]
 [[transform-scheduling-limitations]]
 ==== {cdataframe-cap} scheduling limitations
@@ -187,6 +191,7 @@ your ingest rate along with the impact that the {transform}
 search/index operations has other users in your cluster. Also note that retries 
 occur at `frequency` interval.
 
+
 [float]
 [[transform-failed-limitations]]
 ==== Handling of failed {transforms}
@@ -198,6 +203,7 @@ failure and re-starting.
 When using the API to delete a failed {transform}, first stop it using 
 `_stop?force=true`, then delete it.
 
+
 [float]
 [[transform-availability-limitations]]
 ==== {cdataframes-cap} may give incorrect results if documents are not yet available to search
@@ -205,9 +211,9 @@ When using the API to delete a failed {transform}, first stop it using
 After a document is indexed, there is a very small delay until it is available 
 to search.
 
-A {ctransform} periodically checks for changed entities between the 
+A {ctransform} periodically checks for changed entities between the time since 
-time since it last checked and `now` minus `sync.time.delay`. This time window 
+it last checked and `now` minus `sync.time.delay`. This time window moves 
-moves without overlapping. If the timestamp of a recently indexed document falls 
+without overlapping. If the timestamp of a recently indexed document falls 
 within this time window but this document is not yet available to search then 
 this entity will not be updated.