Must Learn KQL Part 1: Tools and Resources (2024)

FAQs

Is KQL easy to learn? ›

KQL is a simple yet powerful language to query structured, semi-structured, and unstructured data. The language is expressive, easy to read and understand the query intent, and optimized for authoring experiences.

Advantages of KQL Over SQL

Ease of Use for Time Series Analysis: KQL's built-in functions and syntax make it particularly well-suited for time-series data analysis tasks, such as analyzing telemetry data or logs.

Note: take and limit are synonyms. Adds a condition statement, similar to if/then/elseif in other systems. Returns the time offset relative to the time the query executes.

Kusto Query Language (KQL) is used to write queries in Azure Data Explorer, Azure Monitor Log Analytics, Azure Sentinel, and more. This tutorial is an introduction to the essential KQL operators used to access and analyze your data.

The Ariel Query Language (AQL) is a structured query language that you use to query and manipulate event and flow data from the Ariel database in IBM QRadar. The Kusto Query Language (KQL) is a query language that you can use to query the QRadar data lake.

Azure Monitor Logs is based on Azure Data Explorer, and log queries are written by using the same Kusto Query Language (KQL). This rich language is designed to be easy to read and author, so you should be able to start writing queries with some basic guidance.

KQL limitations

Since the transformation is applied to each record individually, it can't use any KQL operators that act on multiple records. Only operators that take a single row as input and return no more than one row are supported.

In the following examples, the Splunk field rule maps to a table in Kusto, and Splunk's default timestamp maps to the Logs Analytics ingestion_time() column.

The length limit of a KQL query varies depending on how you create it. If you create the KQL query by using the default SharePoint search front end, the length limit is 2,048 characters. However, KQL queries you create programmatically by using the Query object model have a default length limit of 4,096 characters.

What is extend in KQL? ›

The extend operator adds a new column to the input result set, which does not have an index. In most cases, if the new column is set to be exactly the same as an existing table column that has an index, Kusto can automatically use the existing index.

take is a simple, quick, and efficient way to view a small sample of records when browsing data interactively, but be aware that it doesn't guarantee any consistency in its results when executing multiple times, even if the dataset hasn't changed.

Why Microsoft invented KQL rather than using SQL for Azure Data Explorer - Stack Overflow.

Kusto was the original codename for the Azure Application Insights platform that Azure Monitor is now based on. If you're wondering where the name comes from, it's named after Jacques Cousteau – a French undersea explorer – and you'll see some cheeky references to Jacques in the Kusto documentation.

Kusto Query Language, or KQL, is a read-only request language used to write queries for Azure Data Explorer (ADX), Azure Monitor Log Analytics, Azure Sentinel, and more. The request is stated in plain text, using a data-flow model that is easy to read, author, and automate.

Becoming an Azure Data Engineer with no experience can be a steep climb, but it's not out of reach. Start by gaining a solid understanding of data engineering principles and Azure's cloud services through online courses and certifications like Microsoft's Azure Data Engineer Associate.

As we'll see, learning Microsoft Azure isn't necessarily difficult, but it is going to be filled with challenges. You're going to learn new things, you're going to challenge some of your old assumptions, and you're going to become acquainted with technologies and approaches you never would have considered otherwise.