Writing Data to Azure SQL Data Warehouse with Azure Databricks

Welcome to the Month of Azure Databricks presented by Advancing Analytics. In this video Simon takes you though how write data from a Spark DataFrame to Azure SQL Data Warehouse. While this may sound simple, to get the most from Azure SQL Data Warehouse, you need to be using PolyBase to read in data. Starting your first project with Azure Databricks? Well get in touch! https://www.advancinganalytics.co.uk/ You might be also interested in our other videos and blogs: The Blog of 60 Databricks Questions Part 1: https://www.advancinganalytics.co.uk/blog/databricks-blog-of-60-questions-1 The Blog of 60 Databricks Questions Part 2: https://www.advancinganalytics.co.uk/blog/databricks-blog-of-60-questions-2 The Blog of 60 Databricks Questions Part 3: https://www.advancinganalytics.co.uk/blog/databricks-blog-of-60-questions-3 The Blog of 60 Databricks Questions Part 4: https://www.advancinganalytics.co.uk/blog/databricks-blog-of-60-questions-4 The Blog of 60 Databricks Questions Part 5: https://www.advancinganalytics.co.uk/blog/databricks-blog-of-60-questions-5 The Blog of 60 Databricks Questions Part 6: https://www.advancinganalytics.co.uk/blog/databricks-blog-of-60-questions-6 If you like the videos but want to go deeper, then take a look at our Azure Databricks training course: https://www.advancinganalytics.co.uk/databricks