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Hands On- Kusto Query Language(KQL)

SynopsisHands On: Kusto Query Language(KQL , available at $34.99, has...
Hands On- Kusto Query Language(KQL)  No.1

Hands On: Kusto Query Language(KQL), available at $34.99, has an average rating of 2.9, with 19 lectures, based on 5 reviews, and has 32 subscribers.

You will learn about Understand What Kusto Query Language and where it is used Understand Kusto Query Language Commands, Statement, Clause Combining all Commands, Statements for a Use Case based understanding Learn how to leverage Sentinel, MDC & Log Analytics Effectively This course is ideal for individuals who are Cloud Security or Microsoft SIEM & SOAR or SOC Engineers It is particularly useful for Cloud Security or Microsoft SIEM & SOAR or SOC Engineers.

Enroll now: Hands On: Kusto Query Language(KQL)

Summary

Title: Hands On: Kusto Query Language(KQL)

Price: $34.99

Average Rating: 2.9

Number of Lectures: 19

Number of Published Lectures: 18

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 18

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand What Kusto Query Language and where it is used
  • Understand Kusto Query Language Commands, Statement, Clause
  • Combining all Commands, Statements for a Use Case based understanding
  • Learn how to leverage Sentinel, MDC & Log Analytics Effectively
  • Who Should Attend

  • Cloud Security
  • Microsoft SIEM & SOAR
  • SOC Engineers
  • Target Audiences

  • Cloud Security
  • Microsoft SIEM & SOAR
  • SOC Engineers
  • In this Hands On: Kusto Query Language course we will do hands on KQL and understand various Commands, Clauses, Statements to build a good Foundation.

    KQL has many Applications Across Microsoft Sentinel, Micrsoft Defender for Cloud, Azure Data Explorer and it enables in Querying the Data which is Stored in Log Analytics Workspace.

    We Will start from Portal Walkthrough provisioned by MS for practicing KQL effectively, we will start with basic commands like getSchema, let, print, and will reach to complex aspect of join, union, data tables, mv-expand, Aggregate functions.

    We will understand case-sensitive and case-insensitive aspect of KQL and how commands can be Molded respectively for querying data from Log Analytics.

    Kusto Query Language is a powerful tool to explore your data and discover patterns, identify anomalies and outliers, create statistical modeling, and more. The query uses schema entities that are organized in a hierarchy similar to SQL’s: databases, tables, and columns.

    A Kusto query is a read-only request to process data and return results. The request is stated in plain text, using a data-flow model that is easy to read, author, and automate. Kusto queries are made of one or more query statements.

    Brief on What we will do Hands on KQL in this Course:

    1. Kusto Query Language

    2. KQL LA demo Continued( Schema, Workflow of a Query, Pipe Operator)

    3. KQL Operator Search

    4. KQL Operator Where

    5. KQL Operator distinct,summarize

    6. KQL Operator sort,ago

    7. KQL Operator iif,strcat,case

    8. KQL Operator arg_max,arg_min,Count,mv-expand

    9. KQL Operator join,range,union,Custom log creation

    10.Kusto Rookie

    11. Updating..

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction

    Lecture 2: 2. KQL LA demo Continued (Schema, Workflow of a Query, Pipe Operator)

    Chapter 2: KQL Operators

    Lecture 1: KQL Operator _ Search

    Lecture 2: KQL Operator _Where

    Lecture 3: KQL Operator Distinct, Summarize Other

    Lecture 4: KQL Operator Sort, Ago & Other

    Lecture 5: KQL Operator iif,strcat,case

    Lecture 6: KQL Operator arg_max,arg_min,Count,mv-expand

    Lecture 7: KQL Operator join,range,union,Custom log creation

    Chapter 3: Kusto Detective

    Lecture 1: Whats Expected from you

    Lecture 2: Kusto Detective & Introduction

    Lecture 3: Kusto Lieutenant

    Chapter 4: KQL Ninja

    Lecture 1: Lab Introduction

    Lecture 2: Lab Setup and Introduction

    Lecture 3: KQL Fundamentals and Data Exploration

    Lecture 4: KQL Searching and Filtering Data

    Lecture 5: KQL Joins

    Lecture 6: Aggregating Data

    Instructors

  • Hands On- Kusto Query Language(KQL)  No.2
    Vipul Dabhi
    Cybertellisense
  • Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 1 votes
  • 3 stars: 0 votes
  • 4 stars: 0 votes
  • 5 stars: 2 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!