Spark SQL for Data Engineering 1 : I am going to start spark sql sessions as series. #sparksql
Spark SQL Part 1 : I am going to start spark sql sessions as series. #sparksql #deltalake #pyspark ' Databricks Notebooks code for ... source
Spark SQL for Data Engineering 1 : I am going to start spark sql sessions as series. #sparksql
Spark SQL Part 1 : I am going to start spark sql sessions as series. #sparksql #deltalake #pyspark ' Databricks Notebooks code for ... source
program to be used, for example, in a #streaming environment.
Other MEOS bindings include #Java with #JMEOS, for C# with #MEOS.NET and for #SparkSQL.
I feel like a #sparksql #databricks for the SQL Server professional talk is going to come out of this client engagement. Which will be my first talk in 5? years
Basic premise is much of what you're writing today for SQL Server translates just fine to Databricks.
There's little differences like limit vs top, bigger differences (truncate doesn't reset the identity seed) and Toto, we're not in Kansas any more with stuff like GROUP BY ALL (which is hot for lazy typists like me)