In this video aimed at folks new to EF Core, Phil Japikse shows how to start with an existing SQL Server database, create entities/objects for each table and then how to perform basic CRUD operations on the data.
Part 1: Working with Existing Databases (this episode).
Part 2: Change Tracking. Change Tracking is one of the most compelling reasons to use an object-relational-mapper (ORM) like EF Core. In this episode we discuss how the change tracker works, see it in action, as well as load data outside of the change tracker.
Part 3: Basic Queries (coming soon). This episodes querying data using EF Core. We discuss the basics of where clauses, retrieving single items or lists of items, as well as when queries actually execute.
Part 4: Querying Related Data and Using Projections (coming soon). Querying related data is simple in EF Core, and In this episode we demonstrate creating joins in our LINQ queries with Include and ThenInclude. We also discuss how you use projections to shape the queried data into other objects, anonymous or strongly typed.
Part 5: Putting the CUD into CRUD (coming soon). Wrapping up our starter series on EF Core, this episode covers adding, updating, and deleting data using EF Core.
Once upon a time (around 14 years ago), I was a Tablet PC developer, MVP, and all around fan boy.
In other words, I was into tablets before they were cool. Indeed, I was in to tablets before they were practical.
And this review by RetroManCave of a Azus R2H UMPC (Ultra Mobile PC) indicates many of the shortcomings of this area in mobile computing.
The dark ages of mobile technology were tough. We knew we wanted portability and convenience but the monolithic tech firms of the time were slow to deliver and left the door open for much needed competition from Apple, Samsung and Google to give us what we wanted. The Asus R2H is a relic from that period before the dawn. It is, the tablet Homer Simpson might have built.
In this video, Anna Hoffman and Jeroen ter Heerdt discuss and show PowerShell notebooks and Azure SQL inside Azure Data Studio. Learn how you can leverage PowerShell notebooks and other CLI tools in them to manage your Azure SQL Databases and Managed Instances.
[00:32] Notebooks in Azure Data Studio
[01:20] PowerShell kernel for notebooks
[02:20] Setting up Azure (Az) module for PowerShell in your notebook
[03:17] Running interactive commands in the integrated terminal in Azure Data Studio
Because our most powerful classical computers are limited in the chemical modeling they can perform, so are the solutions they can unlock.
Quantum computing could change that.
On this episode of Quantum Impact, Dr. Krysta Svore, general manager of quantum systems and software at Microsoft, heads to Richland, Washington to meet with Dr. Nathan Baker and Dr. Bojana Ginovska at Pacific Northwest National Laboratory (PNNL).
Microsoft is partnering with PNNL to bring the power of quantum to our understanding of chemistry. One of PNNL’s areas of interest is catalysis, or the process of converting chemicals from one form to another, and Nathan shares the complexity involved in truly understanding that process.
Bojana, a computational chemist, then speaks with Krysta about her work studying nitrogenase, an enzyme present in healthy soil. She’s exploring how we can turn nitrogen into ammonia for agriculture in a way that doesn’t deplete our energy resources.
Together with PNNL, Microsoft is working to develop quantum algorithms to help solve challenging problems in chemistry, which will have hugely positive impacts on our world and our planet’s future.
WSL2 will officially be part of Windows 10, version 2004, which will be rolled out very soon. The design of WSL 2 is quite different to WSL 1. It includes a real Linux kernel, not just a compatibility layer, which means you can run Docker. Here is a quick look at WSL 2 and a quick demo on Ubuntu running inside of Ubuntu running inside Windows!
Learn about Azure Synapse Analytics, a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics.
It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.