Microsoft recently introduced the capability of Dynamic Outputters. This allows you to Output files based on columns from the dataset. This can be extremely beneficial when we need to part out a large file after ingestion or conform it to our data lake standard. This blog can be read where it was originally published at: https://www.talavant.com/u-sql-dynamic-file-sets-outputters/ #ADLA #AzureDataLake #Usql #Azure #BigData #BusinessAnalytics

Microsoft has recently incorporated the well-renowned Databricks platform into Azure as a 1st class tool. 1st class being natively supported in other tools such as Azure Data Factory. Azure Databricks is a big step forward in the world of big data and data science. It is a unified Apache Spark platform that allows collaboration between Data Scientist and Data Engineers through notebooks that are integrated directly into the application. It allows you to code in  SQL, Scala, R