Synapse Real-Time Analytics: Stream data from Eventstream into a KQL database for powerful analytics

Welcome to the second video in our How To series for Real-Time Analytics in Microsoft Fabric! In this video, Guy Reginiano, a Product Manager for Synapse Real-Time Analytics in Microsoft Fabric, will cover how to ingest data from Eventstream into a KQL database for powerful analytics.
00:06 Introduction
00:16 Real-Time Analytics experience in Microsoft Fabric
01:04 Create a new Eventstream
04:08 Explore the data
05:05 Let's get insights using KQL
07:30 Wrap-Up Read the Eventstreams with RTA blog:
https://blog.fabric.microsoft.com/en-us/blog/from-raw-data-to-insights-how-to-ingest-data-from-eventstream-into-a-kql-database-for-powerful-analytics/
MICROSOFTFABRIC #SYNAPSEREALTIMEANALYTICS

More About Synapse Real-Time Analytics in Microsoft Fabric

Synapse Real-Time Analytics is a feature in Microsoft Fabric that provides a seamless experience for ingesting, exploring, and analyzing real-time data. It enables users to integrate data from Eventstream and other sources into a Kainos Query Language (KQL) database, providing powerful insights with ease. This technology helps organizations make quick decisions by enabling them to analyze their data in real-time. Synapse Real-Time Analytics provides scalability and flexibility, making it a valuable solution for businesses of all sizes, especially those dealing with large volumes of streaming data and requiring rapid response times to analyze and derive meaningful insights from real-time data.

Learn about Synapse Real-Time Analytics: Stream data from Eventstream into a KQL database for powerful analytics

In this video, Guy Reginiano, a Product Manager for Microsoft Fabric's Synapse Real-Time Analytics, will explain how to stream data from Eventstream into a KQL database for powerful analytics. He will cover how to create a new Eventstream and explore the data to gain insights using KQL. This video is part of the How To series for Real-Time Analytics in Microsoft Fabric. By using KQL, it is possible to gain valuable insights from the data stored in Eventstream to make informed decisions. Additionally, this has been covered in the blog post “From Raw Data to Insights: How to Ingest Data from Eventstream into a KQL Database for Powerful Analytics”.

To get started with Real-Time Analytics in Microsoft Fabric, it is important to understand the basics of streaming data from Eventstream to KQL for powerful analytics. Eventstream is a platform for streaming large amounts of data from different sources to a single location for analysis. Once the data is stored in Eventstream, KQL can be used to query the data to gain insights. KQL stands for Knowledge Query Language and is used to query and analyze large amounts of data stored in Eventstream.

Creating a new Eventstream is the first step in streaming data from Eventstream to KQL. During this process, it is important to understand the structure of the data and its sources. Once the data is stored in Eventstream, it is possible to explore the data to gain insights using KQL. KQL is a powerful query language and can be used to query the data stored in Eventstream to gain valuable insights. By using KQL, it is possible to gain a better understanding of the data and make informed decisions.

In conclusion, streaming data from Eventstream to KQL for powerful analytics is possible with Microsoft Fabric’s Synapse Real-Time Analytics. This process involves creating a new Eventstream and exploring the data to gain insights using KQL. Additionally, this has been covered in the blog post “From Raw Data to Insights: How to Ingest Data from Eventstream into a KQL Database for Powerful Analytics”. With this knowledge, it is possible to gain valuable insights from the data stored in Eventstream to make informed decisions.

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Keywords

Real-Time Analytics, Eventstream, KQL, RTA, Microsoft Fabric