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  1. What is Synapse Real-Time Analytics ?

    An end-to-end streaming solution for high-speed data analysis, optimized for time-series data with support for automatic partitioning and indexing of any data format.

  2. What’s the benefit of using KQL for data analysis ?

    KQL provides an efficient way to find insights and patterns from textual or structured data, especially for data with a time series component.

  3. What are the benefits of using Real-Time Analytics ?

    Real-Time Analytics enables to ingest data from any source in any format, run analytical queries directly on raw data and work with versatile data structures.

  4. What is Kusto Query Language (KQL) ?

    KQL is a declarative query language used to analyze and extract insights from structured, semi-structured, and unstructured data.

  5. What can you do with KQL in Fabric ?

    With KQL, we can filter, present, aggregate data and quickly paste long, complex queries directly into the editor.