Kontext Newsletter #6 (2021-09-24) - Azure Functions, Spark SQL, Apache Arrow, Google Cloud BigQuery, Client Validation

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Kontext Newsletter #6 (2021-09-24) - Azure Functions, Spark SQL, Apache Arrow, Google Cloud BigQuery, Client Validation

Dear Kontext newsletter subscribers, I hope you are doing well. This week's newsletter will feature some articles about Azure Functions, Spark SQL, Apache Arrow, Google Cloud BigQuery, Client Validation, etc.

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If you have missed out our previous newsletters, you can find them here.

Azure Functions 4.0 In Public Preview with .NET 6 Support

Microsoft has just announced that Azure Functions 4.0 is now in public preview with .NET 6 runtime support.

Spark SQL - Group By

Spark provides flexible APIs to perform aggregations using GROUP BY clause. You can either implement it via Spark SQL or Spark DataFrame fluent APIs. Kontext also provides a number of useful code snippets in the same column about how to use Spark SQL efficiently. 

BigQuery - Insert-Only Virtualized SCD Type 2

Instead of using MERGE statement to implement a type 2 dimension in your BigQuery data warehouse, there is another way to adopt INSERT-ONLY methodology as you can do in a Data Vault setup.

jQuery Unobtrusive Validation with Bootstrap 5 CSS

For frontend developers, you can use Bootstrap 5's beautiful validation CSS for your jQuery unobtrusive client validations or in your ASP.NET MVC client validations. 

Improve PySpark Performance using Pandas UDF with Apache Arrow

Apache Arrow is an in-memory columnar data format that can be used in Spark to efficiently transfer data between JVM and Python processes. This currently is most beneficial to Python users that work with Pandas/NumPy data.

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