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The posts below include examples and practices which combine the rich query and data management capabilities of Kusto. They will provide you with real-life best practices and methodologies, which have all been repeatedly proven in large-scale production environments, and will help you make sure you make the most out of your Kusto cluster.
Kusto is available for FREE using an emulator{:target="_blank"} or in the cloud{:target="_blank"}.{: style="color: green; opacity: 0.80;" }
You might also enjoy solving cases at the Kusto Detective Agency{:target="_blank"}, or peak at the participating queries in the 2025 edition of the Just another Kusto hacker{:target="_blank"} contest{: style="color: green; opacity: 0.80;" }.
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Just another Kusto hacker (JAKH){:target="_blank"}
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Analyzing Uber rides history{:target="_blank"}
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Analyzing Spotify streaming history{:target="_blank"}
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Analyzing 2 billion New York city taxi rides{:target="_blank"}
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Query consistency{:target="_blank"}
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Workload groups{:target="_blank"}
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Follower clusters{:target="_blank"}
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Data partitioning{:target="_blank"}
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Ingesting 2 billion New York city taxi rides{:target="_blank"}
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Update policies for ELT{:target="_blank"}
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Filtering on datetime columns can save you time{:target="_blank"}
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Specifying metadata at ingestion time{:target="_blank"}
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Advanced data management{:target="_blank"}
- Committing multiple bulks of data in a single transaction{:target="_blank"}
- Back-filling data{:target="_blank"}
Start off with a couple of videos{:target="_blank"}, and customer stories{:target="_blank"}.
There's a lot to learn and read about. Find a helpful list of references here{:target="_blank"}.
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