Microsoft Fabric Training

  Exercise - Analyze data in a Data warehouse-Visualpath   Analyzing data in a data warehouse typically involves several steps to extract insights and make informed decisions. Here's a general outline of the process:   1. Identify Business Objectives: Understand the specific goals or questions that need to be addressed through data analysis. This could include improving sales, optimizing operations, understanding customer behavior, etc . Microsoft Fabric Training   2. Data Exploration: Explore the available data in the data warehouse to understand its structure, quality, and relevance to the business objectives. This may involve querying the data using SQL or other tools, examining metadata, and collaborating with domain experts to gain insights. Microsoft Azure Fabric Training   3. Data Cleaning and Pre processing : Prepare the data for analysis by addressing issues such as missing values, outliers, inconsistencies, and data format discrep...

  Get Started Real-Time Analytics with Microsoft Fabric One possible interpretation could be Microsoft Azure Stream Analytics, which is a cloud-based real-time analytics service. If you are referring to a different product released after my last update, I recommend checking Microsoft's official documentation for the most up-to-date information.   Assuming you are interested in Azure Stream Analytics or a similar service, here's a general guide on getting started with real-time analytics using Microsoft Azure: 1. Azure Portal: Log in to the [Azure portal](https://portal.azure.com/). 2. Create an Azure Stream Analytics Job:  In the Azure portal, navigate to "Create a resource" > "Analytics" > "Stream Analytics job."  Fill in the required information like job name, resource group, and region .  Microsoft Fabric Training     3. Define Inputs:  Once the job is created, go to the newly created Stream Analytics job.  Define input sou...