Azure Data Explorer it is fully Microsoft managed services for data analytics that we can use it for real time analysis for big large of data streaming. With azure data Explorer we will have the availability to ingest massive of data from multiple sources and with azure data explorer we can start to query this massive of record using KQL (Kusto Query Language).
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How you can Start with Azure Data Explorer
- Create Cluster: First step you need to Create Azure Data Explorer Cluster See Create an Azure Data Explorer cluster and database
- Add Database: Second Step you need to Create Azure Database Explorer and add it to azure data explorer cluster See Create a database
- Ingest Data: third step it is the time now to ingest your data from multiple resource like (Azure Data Factory, Kafka, iot hub, blob storage, event hub) into azure database explorer cluster.
- Query Data : It the time now to query your data using KQL (Kusto Query Language) and this can be done from Azure Data Explorer web application (https://dataexplorer.azure.com/) or you can download Kusto Explorer client tool (https://aka.ms/Kusto.Explorer ) in this step I recommend you take look into two courses (Kusto Query Language (KQL) from Scratch , Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer)
These Courses and all of the other courses in Pluralsight are free till end of April 2020.