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in the previous section we read some data from databricks file system created a data frame then we applied a series of transformations like filtering Group by order by and then we have a resulting data frame now lets save the data frame content to a Delta table and then once it is saved this can be accessed by other application and we can also query the table using Spark but in this lab well query the table using databricks own SQL interface databrick SQL is a SQL interface provided by databricks it allows users to run SQL queries on Delta tables or external tables it also provides features such as caching indexing and optimization to improve query performance lets open the python notebook we created earlier under workspace so you can find any of the notebooks that you might have created earlier it says no cluster is attached because the older one has dominated we can attach this notebook to the new cluster that is currently running lets rerun this notebook keep pressing shift ent