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[DPDV-2925] renamed example dashboard and updated TA's readme file #85

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Original file line number Diff line number Diff line change
Expand Up @@ -45,9 +45,9 @@
</row>
<row>
<panel>
<title>Searching Your Data in DataSet</title>
<title>Searching Your Data in Singularity Data Lake</title>
<html>
<b>This dashboard will help get you started on your journey. The first thing you'll want to do after configuring your DataSet Read API Key is to run a simple test to make sure you can access Dataset.</b>
<b>This dashboard will help get you started on your journey. The first thing you'll want to do after configuring your Singularity Data Lake Read API Key is to run a simple test to make sure you can access Singularity Data Lake.</b>
</html>
</panel>
</row>
Expand Down Expand Up @@ -78,8 +78,8 @@
<row>
<panel>
<html>
<h3>Now let's talk about executing queries against DataSet.</h3>
The first thing you need to know is that this Add-On provides four methods to query DataSet:
<h3>Now let's talk about executing queries against Singularity Data Lake.</h3>
The first thing you need to know is that this Add-On provides four methods to query Singularity Data Lake:
<ol>
<li>
<b>Base Data Query</b> - This will return the raw event data (fast, but very verbose). This type of query returns all evetn data so be mindful of the amount of data pushed across the wire and held in memory.</li>
Expand Down Expand Up @@ -142,7 +142,7 @@
<initialValue>All</initialValue>
</input>
<input id="baseQuery" type="text" token="baseQuery">
<label>Base DataSet query</label>
<label>Base query</label>
<default>$baseQuery$</default>
</input>
</panel>
Expand All @@ -166,7 +166,7 @@
</row>
<row>
<panel>
<title>Now let's select a field to aggregate statistics on in DataSet. (This is exponentially better performance than returning all data and using SPL to summarize.)</title>
<title>Now let's select a field to aggregate statistics on in Singularity Data Lake. (This is exponentially better performance than returning all data and using SPL to summarize.)</title>
<input type="dropdown" token="myTag" searchWhenChanged="true">
<label>Field to aggregate by</label>
<choice value="tag">tag</choice>
Expand All @@ -187,7 +187,7 @@
</row>
<row>
<panel>
<title>2. PowerQuery: Aggregate in DataSet and display in Splunk!</title>
<title>2. PowerQuery: Aggregate in Singularity Data Lake and display in Splunk!</title>
<input id="basePowerQuery" type="text" token="basePowerQuery">
<label>Enter a PowerQuery to apply to the base query</label>
<default>$basePowerQuery$</default>
Expand All @@ -212,7 +212,7 @@
</row>
<row>
<panel>
<title>3. Facet Query: Aggregate in DataSet, Facet by a specific field and display in Splunk!</title>
<title>3. Facet Query: Aggregate in Singularity Data Lake, Facet by a specific field and display in Splunk!</title>
<input id="baseFacetQuery" type="text" token="baseFacetQuery">
<label>Enter a Facet Query to apply to the base query</label>
<default>$baseFacetQuery$</default>
Expand Down
2 changes: 1 addition & 1 deletion TA_dataset/README.md
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
# TA_dataset
This add-on integrates with [DataSet](https://www.dataset.com) by [SentinelOne](https://www.sentinelone.com).
This add-on integrates with [DataSet](https://www.dataset.com) and [Singularity Data Lake](https://www.sentinelone.com/platform/xdr-ingestion) by [SentinelOne](https://www.sentinelone.com).

For more information, see the [GitHub](https://github.com/scalyr/dataset-addon-for-splunk) repository.
##### Note
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4 changes: 2 additions & 2 deletions TA_dataset/default/app.conf
Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@ state = enabled
build = 1

[launcher]
author = DataSet by SentinelOne
author = SentinelOne
version = 2.0.44-SNAPSHOT
description = The Singularity Data Lake Add-On for Splunk integrates with DataSet by SentinelOne
description = The Singularity Data Lake Add-On for Splunk integrates SentinelOne's Data Lake or DataSet

[ui]
is_visible = 1
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2 changes: 1 addition & 1 deletion TA_dataset/default/data/ui/nav/default.xml
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
<view name="search"/>
<collection label="Dashboards">
<view name="dashboards" />
<view name="dataset_by_example" />
<view name="sdl_by_example" />
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<view name="sentinelone_use_case_query_examples" />
<view name="soc_search_examples" />
<view name="ingestion_summary" />
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Original file line number Diff line number Diff line change
Expand Up @@ -45,9 +45,9 @@
</row>
<row>
<panel>
<title>Searching Your Data in DataSet</title>
<title>Searching Your Data in Singularity Data Lake</title>
<html>
<b>This dashboard will help get you started on your journey. The first thing you'll want to do after configuring your DataSet Read API Key is to run a simple test to make sure you can access Dataset.</b>
<b>This dashboard will help get you started on your journey. The first thing you'll want to do after configuring your Singularity Data Lake Read API Key is to run a simple test to make sure you can access Singularity Data Lake.</b>
</html>
</panel>
</row>
Expand Down Expand Up @@ -78,8 +78,8 @@
<row>
<panel>
<html>
<h3>Now let's talk about executing queries against DataSet.</h3>
The first thing you need to know is that this Add-On provides four methods to query DataSet:
<h3>Now let's talk about executing queries against Singularity Data Lake.</h3>
The first thing you need to know is that this Add-On provides four methods to query Singularity Data Lake:
<ol>
<li>
<b>Base Data Query</b> - This will return the raw event data (fast, but very verbose). This type of query returns all evetn data so be mindful of the amount of data pushed across the wire and held in memory.</li>
Expand Down Expand Up @@ -142,7 +142,7 @@
<initialValue>All</initialValue>
</input>
<input id="baseQuery" type="text" token="baseQuery">
<label>Base DataSet query</label>
<label>Base query</label>
<default>$baseQuery$</default>
</input>
</panel>
Expand All @@ -166,7 +166,7 @@
</row>
<row>
<panel>
<title>Now let's select a field to aggregate statistics on in DataSet. (This is exponentially better performance than returning all data and using SPL to summarize.)</title>
<title>Now let's select a field to aggregate statistics on in Singularity Data Lake. (This is exponentially better performance than returning all data and using SPL to summarize.)</title>
<input type="dropdown" token="myTag" searchWhenChanged="true">
<label>Field to aggregate by</label>
<choice value="tag">tag</choice>
Expand All @@ -187,7 +187,7 @@
</row>
<row>
<panel>
<title>2. PowerQuery: Aggregate in DataSet and display in Splunk!</title>
<title>2. PowerQuery: Aggregate in Singularity Data Lake and display in Splunk!</title>
<input id="basePowerQuery" type="text" token="basePowerQuery">
<label>Enter a PowerQuery to apply to the base query</label>
<default>$basePowerQuery$</default>
Expand All @@ -212,7 +212,7 @@
</row>
<row>
<panel>
<title>3. Facet Query: Aggregate in DataSet, Facet by a specific field and display in Splunk!</title>
<title>3. Facet Query: Aggregate in Singularity Data Lake, Facet by a specific field and display in Splunk!</title>
<input id="baseFacetQuery" type="text" token="baseFacetQuery">
<label>Enter a Facet Query to apply to the base query</label>
<default>$baseFacetQuery$</default>
Expand Down
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