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Data analytics and big data are now the buzzwords of the industry. Today many businesses want to use data analytics to gain insights, but aesthetically pleasing data visualizations with agility are key for effective discovery of insights. However, many businesses lack access to data scientists for this purpose and are too sold on the idea of big data. They don t have a data size problem; they have a data tooling problem. With the right tool and library, data analytics should feel like a cakewalk. Squirrel fills this void in the .NET ecosystem. It lets you write data pipelines in C# and F# that feel like business specifications, not code. This book is the official guide for learning Squirrel and how to use it in your domain.
What You Will Learn
Clean messy datasets using Squirrel s most comprehensive set of data cleanser functions.
Use Squirrel to create data pipelines that read almost like plain English, as if you were creating an executable specification.
Create aesthetically pleasing data visualizations using Squirrel s built in data visualization providers.
Who This Book Is For
.NET developers who need to do data analysis using C# or F#
Businesses looking to simplify their data analysis
Über den Autor / die Autorin
Sudipta Mukherjee
is a compiler engineer, meta-programming expert, and published author with over 20 years of experience building production systems. Recognized as an F# expert by the F# Software Foundation, he has authored several books on various programming topics.
As the creator of Squirrel, a cross-platform agile data analytics framework with thousands of active users, Sudipta brings deep expertise in language design, static analysis, and developer tooling to data analytics for .NET. He has spoken at conferences worldwide on topics ranging from domain-specific languages to functional programming in production systems. He currently builds developer tools and infrastructure, focusing on making complex data operations simple, type-safe, and maintainable.
Zusammenfassung
Data analytics and big data are now the buzzwords of the industry. Today many businesses want to use data analytics to gain insights, but aesthetically pleasing data visualizations with agility are key for effective discovery of insights. However, many businesses lack access to data scientists for this purpose and are too sold on the idea of big data. They don’t have a data size problem; they have a data tooling problem. With the right tool and library, data analytics should feel like a cakewalk. Squirrel fills this void in the .NET ecosystem. It lets you write data pipelines in C# and F# that feel like business specifications, not code. This book is the official guide for learning Squirrel and how to use it in your domain.
What You Will Learn
• Clean messy datasets using Squirrel’s most comprehensive set of data cleanser functions.
• Use Squirrel to create data pipelines that read almost like plain English, as if you were creating an executable specification.
• Create aesthetically pleasing data visualizations using Squirrel’s built in data visualization providers.
Who This Book Is For
• .NET developers who need to do data analysis using C# or F#
• Businesses looking to simplify their data analysis
