Microsoft Azure Data Explorer is a fully managed data analytics service that enables real-time analysis of large volumes of streaming and historical data. It allows users to ingest, store, and query structured, semi-structured, and unstructured data to gain insights quickly.
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About Microsoft Azure Data Explorer
Microsoft Azure Data Explorer was created by Microsoft in 2018 to address the need for real-time data analytics on large volumes of data. It was developed to help organizations quickly analyze streaming and historical data, providing insights and supporting decision-making processes.
Strengths of Microsoft Azure Data Explorer include its ability to handle large volumes of data in real-time, scalability, and integration with other Azure services. Weaknesses include a steep learning curve and potential high costs for extensive usage. Competitors include Amazon Redshift, Google BigQuery, and Snowflake.
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How to hire a Microsoft Azure Data Explorer expert
A Microsoft Azure Data Explorer expert must have skills in Kusto Query Language (KQL), data ingestion techniques, data modeling, and performance tuning. Proficiency in Azure services integration, real-time data processing, and familiarity with big data analytics concepts are also essential.
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