Stop waiting to explore your data: use Azure Data Explorer!
summary
Azure Data Explorer handles streaming raw data for quick analysis: demoed a taxi trips dataset of 1.5 billion rows and runs a monthly aggregation in 25.05 seconds. It ingests from Event Hub, Blob, Data Factory or push/pull methods, supports Kusto Query Language, external tables over JSON, built-in time-series forecasting, pivots and dashboards (preview). The cluster+database model auto-manages indexing, offers compute- or storage-optimized SKUs, and the demo queries, charts and forecasts all execute successfully.
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chapters (18)
- 0:00Introduction
- 0:59Why Azure Data Explorer
- 6:25What is Data Explorer
- 10:42Use cases
- 17:50How can it be used
- 21:30User Interfaces
- 26:30Query Structure
- 29:25Operator explain
- 31:25Pricing
- 32:54Demo
- 36:10Charts
- 40:00Time charts
- 41:23Correlation
- 42:50Forecasting
- 43:43Pivot Tables
- 45:37External Tables
- 48:11Query Results
- 51:06Functions
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