Synapse Real-Time Analytics: Get started with KQL
Welcome to the third video in our How To series for Real-Time Analytics in Microsoft Fabric! In this video, Slavik Neimer, a Principal Software Engineer Manager
Synapse Real-Time Analytics: Get started with KQL Welcome to the third video in our How To series for Real-Time Analytics in Microsoft Fabric! In this video, Slavik Neimer, a Principal Software Engineer Manager at Microsoft, will show you how to get started with KQL.
- 00:06 Intro
- 00:17 Overview of Real-Time Analytics in Fabric
- 00:40 Running pre-defined queries
- 01:25 SQL to KQL using the explain keyword
- 02:23 Articles to get you started in KQL
- 02:39 count operator to count records in a table
- 03:02 take operator to get a few arbitrary records
- 04:01 summarize operator to aggregate data (e.g. find the min and max values in a column)
- 04:52 where operator to filter records
- 06:01 top operator to get the first N records sorted by the specified columns
- 06:38 as operator to bind a name to the operator's input tabular expression, and extend operator
- 07:51 project operator to select the columns to include in the output
- 08:13 parse operator to parse values into one or more calculated columns
- 09:05 parse_json function to extract values from JSONs
KQL stands for Kusto Query Language. It is a read-only request to process data and return results. The language is highly expressive and is used for complex data exploration that includes many steps. It is primarily used for querying large datasets in Azure Data Explorer (ADX) and the backend of several Microsoft Azure services.
Deep Dive into KQL in Synapse Real-Time Analytics
KQL (Kusto Query Language) is the language used in Microsoft Synapse Real-Time Analytics to query and analyze data. This video guides you through an introduction to KQL and its operators. By learning to use operators like count, take, summarize, where, top, as, project, and parse, you can efficiently manipulate data and draw insights from it. KQL also supports parsing JSON objects, enabling you to work with complex data types. Mastering KQL is an essential skill in maximizing the capabilities of Synapse Real-Time Analytics and fully utilizing your data.
Learn about Synapse Real-Time Analytics: Get started with KQL
Synapse Real-Time Analytics is a powerful tool for collecting and analyzing data in real-time. In this video, Slavik Neimer, a Principal Software Engineer Manager at Microsoft, will show you how to get started with KQL (Kusto Query Language). He will discuss pre-defined queries, how to convert SQL to KQL, and the various other KQL operators and functions such as count, take, summarize, where, top, as, extend, project, parse, and parse_json. He will also demonstrate how to use each operator to manipulate and analyze data in real-time.
The count operator can be used to count the records in a table, while take can be used to get a few arbitrary records. The summarize operator can be used to aggregate data, such as finding the minimum and maximum values in a column. The where operator can be used to filter records, while the top operator can be used to get the first N records sorted by the specified columns. The as operator can be used to bind a name to the operator's input tabular expression, and the extend operator can be used to add new columns to a table. The project operator can be used to select the columns to include in the output, while the parse operator can be used to parse values into one or more calculated columns. Finally, the parse_json function can be used to extract values from JSONs.
More links on about Synapse Real-Time Analytics: Get started with KQL
- Get started with Real-Time Analytics in Microsoft Fabric
- Create a KQL database · In the Microsoft Fabric experience portal, select the Synapse Real-Time Analytics experience image as shown here: · On the Home page for ...
- Azure Synapse Analytics (@Azure_Synapse) / Twitter
- Synapse Real-Time Analytics: Discovering the best ways to get data into a KQL database | Microsoft... One of the key components of Fabric is Synapse Real-Time ...
- azure-docs/get-started-analyze-data-explorer.md at main
- Ingest sample data and analyze with a simple query · In Synapse Studio, on the left-side pane, select Develop. · Under KQL scripts, Select + (Add new resource) > ...
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- Learn Azure Synapse Data Explorer: A guide to building real-time analytics solutions to unlock log and telemetry data: 9781803233956: Computer Science Books ...
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Keywords
KQL, Real-Time Analytics, Fabric, Synapse, Aggregate Data