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29 Μαΐ 2023 · Here are a few examples of how analytics architecture can be used: Financial services: Analytics architecture can be used to analyze data from financial transactions, customer data, and market data to identify patterns and trends, detect fraud, and optimize risk management.
28 Ιουν 2012 · Should each analytic section in the page have the data come from a specific table in the database that is populated by that stored proc (the stored proc will initially get info from multiple tables it needs)?
9 Δεκ 2021 · We are using Microsoft.Data.Analysis to work with data in C#, hopefully with similar functionality to pandas with a C# mindset. Let’s see what we can find! You can follow along by creating a .NET interactive notebook from scratch or check it out within my Graphmas repo.
To get started, consider the following example implementations: Analytics end-to-end with Azure Synapse. Automated enterprise BI. Data warehousing and analytics. Stream processing with Azure Databricks. Stream processing with Azure Stream Analytics. Best practices. High-quality analytics start with robust, trustworthy data.
13 Δεκ 2023 · Architecture designs for using the Data Warehouse, Data Lakehouse, and Real-Time Analytics/KQL Database.
In this tutorial, you learn how to use the Azure portal and ADO.NET with Visual Studio to: Create a database using the Azure portal. Set up a server-level IP firewall rule using the Azure portal. Connect to the database with ADO.NET and Visual Studio. Create tables with ADO.NET.
26 Μαρ 2024 · Efficiently integrating databases with C# applications is crucial for managing data seamlessly. Explore various approaches like ADO.NET, Entity Framework Core, and Dapper along with best practices for successful integration.
