Microsoft Azure Data Explorer with Advanced KQL Course Overview

Enroll for 2-day Microsoft Azure Data Explorer with Advanced KQL course from Koenig Solutions.  Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. In this course you will learn the functions in the Kusto Query Language (KQL) targeted at advanced analytics and time series analysis, and explore the use of python to expand the capabilities of KQL.

Target Audience:

This course is intended for System administrators & App developers

 

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

You will learn:

Module 1: Getting Started with Azure Data Explorer: Overview and Architecture
  • What Is Azure Data Explorer and Why Should I Use It?
  • ADX Key Characteristics and Use Cases
  • ADX Architecture, Components, and Scalability
  • ADX Security
  • Understanding and Creating Azure Data Explorer Infrastructure
  • ADX Cost: Selecting the SKU for Your Use Case
  • Creating a Cluster
  • Managing Cluster Scaling
  • Creating a Database
  • Managing Database Permissions
  • The Azure Data Explorer Web UI
  • Querying Data in Azure Data Explorer
  • Getting to Know the Kusto Query Language (KQL)
  • Querying Azure Data Explorer, the Help Cluster, and the Sample Database2m
  • Getting Started with Kusto Control Commands
  • The Basics of KQL - Most Commonly Used Operators
  • More KQL Operators
  • Advanced KQL
  • Querying External Tables
  • Querying Data in Azure Monitor and Using the Flow Kusto Connector
  • Exporting Data
  • Visualizing Data in Azure Data Explorer
  • Visualizing the Results of a Query with the Render Operator
  • Data Visualization Using the Azure Data Explorer Dashboard
  • Visualizing Data Using Power BI
  • Visualizing Data in Grafana
  • Visualizing Data in Redash
  • Visualizing Data in Kibana with the K2Bridge Open-source Connector
  • Visualizing Data in Tableau with the ODBC Connector
  • Visualizing Data in Sisense with the JDBC Connector
  • Monitoring in Azure Data Explorer
  • Using Metrics to Monitor Cluster Health
  • Adding Diagnostic Logs to Monitor Ingestion
  • Use Resource Health to Monitor Cluster Health
  • Troubleshooting
  • Introduction
  • Sliding Window Counts
  • Active User Counts
  • Activity Counts Metrics
  • Activity Metrics
  • Activity Engagement
  • Nearby Events: Circle
  • Nearby Events: Line
  • Geofencing
  • Clustering
  • Geospatial Joins
  • Introduction to Diagnostic and Root Cause Analysis
  • Using Autocluster
  • Using Basket
  • Using Diffpatterns
  • Performing Verification
  • Make Series
  • Series FIR
  • Series Fit Line and Fit 2 Lines
  • Seasonality Detection
  • Series Subtract
  • Time Series at Scale
  • Decomposition
  • Anomaly Detection
  • Forecasting
  • Scalability
  • Introduction to Calling Python and R from KQL
  • The Mechanics of Calling Python
  • Time Series Analysis Using Python's Numpy
  • Using Python's K Means Clustering from KQL
  • Calling R from KQL
Live Online Training (Duration : 16 Hours) Fee On Request
Group Training
Online
22 - 23 Aug GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
05 - 06 Sep GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
03 - 04 Oct GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
Comfort Track

If you think 16 hours is too fast, we can offer Comfort Track for 32 hours Enquire Now!

Course Prerequisites

Should be familiar with the basics of the Kusto Query Language

 

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Add Name and Email Address of participant (If different from you)

FAQ's


Yes, fee excludes local taxes.
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The Fee includes:
  • Courseware
Yes, Koenig Solutions is a Microsoft Learning Partner
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
No, it is not included.
In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
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It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
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Dubai, Goa, Delhi, Bangalore.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

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Travel and Visa

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Food and Beverages

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