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Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.

We have a wide range of computational mechanisms at our disposal, some of which emerged thanks to recent advances in AI. In this post, we look at the kinds of workloads that can take advantage of these.

C# 12.0's most prominent new feature is the primary constructor syntax. This post describes how it works, and looks at some pros and cons.

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.

Thanks in part to recent advances in AI, we have a range of computational mechanisms at our disposal. However, certain universal truths apply to all of them.

Learn how to configure VS Code to enable stepping into external code when debugging a Python Behave test

C# 11.0 expanded high-performance, low-allocation functionality. This post describes the importance of the added support for ref fields, and how the scoped keyword relates.

AI's current hype cycle has driven massive hardware investment. Even if AI disappoints, those hardware capabilities remain. What else can we do with them?

Power BI's new PBIR format enhances collaboration, version control, and efficiency for developers. Learn key benefits and future implications.

Power BI Projects are a game changer for teams building reports; offering a source-control friendly format, CI/CD support, and the ability to edit in a code editor.

Spark doesn't always interpret JSON how we'd like. For example, if each key/value pair in a JSON object is conceptually one item, Spark won't give you a row per item by default. This article shows how to nudge Spark in the right direction.

This post examines .NET's native support for iterators: IEnumerator<T>, IEnumerable<T>, and IAsyncEnumerable<T>.

High-performance data teams start with C-suite sponsorship, align to organisational goals, adopt a product mindset, and position themselves as innovation engines rather than order takers.

Use Reactive Extensions for .NET to transform FileSystemWatcher events into a powerful and easy-to-use event stream to deal with file system idiosyncrasies.

Convert between unrelated IJsonValue types across API, CRM, and database schemas with near-zero allocation. A schema-first alternative to AutoMapper for JSON-driven .NET applications.

Set unevaluatedProperties to a schema to turn a JSON object into a Dictionary-like map. The generated C# type implements IReadOnlyDictionary with zero-allocation key comparisons.

Plain numeric enums lose their labels in JSON Schema. Using oneOf with const and title/description preserves named, documented numeric values with full pattern-matching support in C#.

JSON Schema's enum keyword constrains values to a fixed set of strings (or mixed types). Corvus.JsonSchema generates strongly typed constants with pattern-matching support in C#.

Use const-valued properties as discriminators in a oneOf union to implement the same polymorphic dispatch pattern used by System.Text.Json, illustrated with JSON Patch operations.

JSON Schema's oneOf keyword creates exhaustive discriminated unions, solving the two biggest problems with C# inheritance-based unions: invasiveness and missing-case bugs.

Compose multiple independent schemas into a single type using allOf, the JSON Schema equivalent of implementing multiple interfaces. Generated C# types include properties from all composed schemas.

JSON Schema's prefixItems keyword maps to C# ValueTuples. Combined with unevaluatedItems: false, it creates fixed-length, mixed-type arrays with strongly typed accessors.

Fixed-size numeric arrays defined in JSON Schema can be converted to and from Span&lt;T&gt; for use with System.Numerics.Tensors, enabling zero-allocation interop for ML and math workloads.