#365daysofadx — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #365daysofadx, aggregated by home.social.
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Ingest data from #Logstash to @AzDataExplorer
#365daysofADX Day60#AzureDataExplorer (#ADX) Logstash plugin enables you to process events from Logstash into an Azure Data Explorer database for later analysis.
Learn More
[1] https://learn.microsoft.com/en-us/azure/data-explorer/ingest-data-logstash
[2] https://learn.microsoft.com/en-us/azure/data-explorer/connector-overview -
Ingest data from #ApacheKafka to @AzDataExplorer
#365daysofADX Day59The #ADX #KafkaConnect sink connector makes ingestion from #Kafka, code free and configuration based, scalable and fault tolerant, easy to deploy, manage and monitor.
Learn More: https://learn.microsoft.com/en-us/azure/data-explorer/ingest-data-kafka
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Ingest data in @AzDataExplorer using #Telegraf Output Plugin
#365daysofADX Day58#AzureDataExplorer output supports both streaming and queued ingestion of data from many types of telegraf input plugins into #ADX.
[1] https://lnkd.in/dSPGMmRJ
[2] https://learn.microsoft.com/en-us/azure/data-explorer/connector-overview -
Native Ingestion from Amazon S3 into @AzDataExplorer
#365daysofADX Day56Customers can bring data from S3 natively without relying on complex ETL pipelines, with S3 support.
Sample: https://github.com/Azure/azure-kusto-samples-dotnet/tree/master/S3/S3EventGridPoc
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Data Ingestion in @AzDataExplorer
#365daysofADX Day54Data ingestion is the process used to load data records from one or more sources into a table in Azure Data Explorer. Once ingested, the data becomes available for query.
More: https://learn.microsoft.com/en-us/azure/data-explorer/ingest-data-overview
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Visualize data with @AzDataExplorer dashboards
#365daysofADX Day53ADX Dashboards (part of #ADX web UI), have a user-friendly interface, allowing users to quickly explore and analyze their data without the need for extensive technical knowledge.
More: https://learn.microsoft.com/en-us/azure/data-explorer/azure-data-explorer-dashboards
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Right semi join in @AzDataExplorer
#365daysofADX Day52Right semi-join returns all records from the right side that match a record from the left side. Only columns from the right side are returned.
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Left Semi join in @AzDataExplorer
#365daysofADX Day51Left semi-join returns all records from the left side that match a record from the right side. Only columns from the left side are returned.
Try: https://lnkd.in/dKNy6VKd
Learn More: https://lnkd.in/dJrmh-DV -
Right Anti Join in @AzDataExplorer
#365daysofADX Day50Right anti-join returns all records from the right side that don't match any record from the left side.
Try: https://lnkd.in/d98BhDNS
Learn More: https://lnkd.in/dKCZpyEe -
Left Anti join in @AzDataExplorer
#365daysofADX Day49Left anti-join returns all records from the left side that don't match any record from the right side.
Try: https://lnkd.in/dmCi_th4
Learn More: https://lnkd.in/dXg9xTB7 -
Full outer join in @AzDataExplorer
#365daysofADX Day48A full outer-join combines the effect of applying both left and right outer-joins.
Run the example: https://lnkd.in/d8RYX2Mb
Learn More: https://lnkd.in/dtSFEG_a -
Full outer join in @AzDataExplorer
#365daysofADX Day48A full outer-join combines the effect of applying both left and right outer-joins.
Run the example: https://lnkd.in/d8RYX2Mb
Learn More: https://lnkd.in/dtSFEG_a -
Right outer join in @AzDataExplorer
#365daysofADX Day 47The right outer join flavor resembles the left outer-join, but the treatment of the tables is reversed as it always contains all records on the right table.
Example: https://lnkd.in/d83K8e4K
More: https://lnkd.in/dybNuaRg -
Inner join in @AzDataExplorer
#365daysofADX Day45Like the standard inner-join from the SQL world, an output record is produced whenever a record on the left side has the same join key as the record on the right side.
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Default join in @AzDataExplorer
#365daysofADX Day44The default join is an inner join with left side deduplication. It's useful in log/trace analysis scenarios to correlate 2 events, each matching some filtering criterion, under the same correlation ID.
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Create a dashboard from a query in @AzDataExplorer
#365daysofADX Day43Dashboards are an excellent way to communicate data science insights visually. You can pin a query as a visual tile in ADX KWE
Learn More: https://lnkd.in/dH4r9NWJ
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Join operator in @AzDataExplorer
#365daysofADX Day42Merge the rows of two tables to form a new table by matching values of the specified columns from each table.
Learn more: https://learn.microsoft.com/en-us/azure/data-explorer/kusto/query/joinoperator?pivots=azuredataexplorer
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Anomaly chart in @AzDataExplorer
#365daysofADX Day41The anomaly chart visualization is similar to a timechart, but highlights anomalies using the series_decompose_anomalies function.
#KQL #Kusto #ADX
https://learn.microsoft.com/en-us/azure/data-explorer/kusto/query/visualization-anomalychart?pivots=azuredataexplorer -
#Timechart in @AzDataExplorer
#365daysofADX Day40The time chart visual is similar to a line chart except the x-axis is always time.
Syntax
T | render timechart [with ( PropertyName = PropertyValue [, ...] )] -
Line chart in @AzDataExplorer
#365daysofADX Day39Line charts track changes over short and long periods of time.
Try it out - https://dataexplorer.azure.com/clusters/help/databases/Samples?query=H4sIAAAAAAAAAwsuyS/KdS1LzSsp5qpRKM9ILUpVCC5JLEm1tVUK8wxy9/TzdFQCyhQU5WelJpeA5IpKQjJzU3UUXBJzE9NTA4ryC1KLSiqBaopS81JSixRyMvNSkzOAygCpk5aiXAAAAA==
StormEvents
| where State=="VIRGINIA"
| project StartTime, DamageProperty
| render linechart -
Checkout KQL Search: http://kqlsearch.com
A aggregator for KQL Queries that are shared on GitHub by @UgurKocDe#KQL #365daysofADX #Kusto #AzureDataExplorer
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RT @UgurKocDe
I also want to thank the community members that share KQL Learning materials and queries with the Community:
- @reprise_99
- @rodtrent
- @kustonaut
- @BertJanCyber
- @castello_johnny
- @ep3p
- @AzDataExplorer
https://twitter.com/UgurKocDe/status/1622983034889699330 -
Card visualization in @AzDataExplorer
#365daysofADX Day38The card visual only shows one element. If there are multiple columns and rows in the output, the first result record is treated as set of scalar values and shows as a card.
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Scatter chart in @AzDataExplorer
#365daysofADX Day37Scatter plots are used to observe relationships between variables. The scatter chart visual can also be used in the context of Geospatial visualizations.
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Stacked Area chart in @AzDataExplorer
#365daysofADX Day36The stacked area chart visual shows a continuous relationship. This visual is similar to the Area chart, but shows the area under each element of a series.
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#Areachart in @AzDataExplorer
#365daysofADX Day35The area chart visual shows a time-series relationship. Area charts are ideal for indicating the change among different data sets.
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#Areachart in @AzDataExplorer
#365daysofADX Day35The area chart visual shows a time-series relationship. Area charts are ideal for indicating the change among different data sets.
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Bar chart visual in @AzDataExplorer
#365daysofADX Day34 -
Render columnchart from #KQL query in @AzDataExplorer
#365daysofADX Day33Column charts are used for comparing specific subcategory items in a main category range, where the length of each line represents its value.
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Create pie chart visuals directly from KQL Queries using @AzDataExplorer
#365daysofADX Day32The pie chart visual needs a minimum of two columns in the query result where the first column is used as the color axis and other(s) are numeric data types.
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Visualize query results within seconds in @AzDataExplorer using render operator
#365daysofADX Day31Learn More:
Learn Documentation: https://lnkd.in/dAhzUbF9
#KWE #KE #KQL #Kusto #Visualization #AzureDataExplorer #PowerBI #Data #Microsoft #synapseinfluencers #msftadvocate
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Visualize query results within seconds in @AzDataExplorer using render operator
#365daysofADX Day31Learn More:
Learn Documentation: https://lnkd.in/dAhzUbF9
#KWE #KE #KQL #Kusto #Visualization #AzureDataExplorer #PowerBI #Data #Microsoft #synapseinfluencers #msftadvocate
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Round values down in @AzDataExplorer using bin function.
#365daysofADX Day30It returns the nearest multiple of roundTo below value. Null values, a null bin size, or a negative bin size will result in null.
More: https://learn.microsoft.com/en-us/azure/data-explorer/kusto/query/binfunction
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Aggregate contents of an input table in @AzDataExplorer using summarize operator.
#365daysofADX Day29
The summarize operator produces a table that aggregates the content of the input table.
Learn more: https://lnkd.in/dhQr2T_Q