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How to Start with Microsoft Azure Data Explorer

Data gives you insights, helps you predict trends and discover anomalies, and gives you a competitive advantage. In this course, How to Start with Microsoft Azure Data Explorer, you'll learn the foundational knowledge needed to ingest, query, analyze, and visualize large amounts of data with Azure Data Explorer. First, you'll understand the architecture of Data Explorer. Next, you'll learn how create and scale infrastructure, ingest data, and query using the Kusto Query Language, also known as KQL. Finally, you'll learn how to visualize data from within ADX or integrating with a third-party product like Power BI, Grafana, Redash, Tableau, Sisense, and any other platform that uses ODBC and JDBC. When you're finished with this course, you'll have the skills and knowledge required to analyze all kinds of data, including log and telemetry data, using Azure Data Explorer - Microsoft's interactive Big Data platform.

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Rating Not enough ratings
Length 4.1 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructors x, a, v, i, e, r
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional

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Careers

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DATA PROCESSING AND DATA ENTRY $30k

Data 2 $50k

Aviation Explorer Post Advisor $52k

Enterprise Data Management Data Analyst $88k

Data Analyst, Data Warehousing $93k

Data Scientist / Data Visualization $107k

Data Administrator / Data Modeler $108k

Senior Data Architect/Data Modeler $135k

Data Modeler/Data Warehouse Architect $142k

Data Integration / Data Warehouse Architect $155k

Data Architect Data Warehouse $167k

Senior Data mlodeler/Data Architect $186k

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Pluralsight

Rating Not enough ratings
Length 4.1 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructors x, a, v, i, e, r
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional

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