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updates including new pic, relative links
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articles/data-explorer/ingest-data-overview.md

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Data ingestion is the process used to load data records from one or more sources to create or update a table in Azure Data Explorer. Once ingested, the data becomes available for query. The diagram below shows the end-to-end flow for working in Azure Data Explorer, including data ingestion.
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![Overall data flow](media/ingest-data-overview/overall-data-flow.png)
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![Data flow](media/ingest-data-overview/data-flow.png)
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The Azure Data Explorer data management service, which is responsible for data ingestion, provides the following functionality:
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articles/data-explorer/time-series-analysis.md

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| | Loc 15 | -3207352159611332166 | 1151 | -102743.910227889 |
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| | Loc 13 | -3207352159611332166 | 1249 | -86303.2334644601 |
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In less than two minutes, ADX detected two abnormal time series (out of 23115) in which the read count suddenly dropped.
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In less than two minutes, ADX analyzed over 20,000 time series and detected two abnormal time series in which the read count suddenly dropped.
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These advanced capabilities combined with ADX fast performance supply a unique and powerful solution for time series analysis.

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