Pyspark Tutorial 7,What is Cache and Persistent, Unresist,

Pyspark Tutorial 7,What is Cache and Persistent, Unresist,#PysparkCache,#SparkCache,#PySparkTutoroal
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[@kumargautam9428]

Great video but just wanted to confirm if the materialization of the cached dataframe is required using df.count() immediately after df.cache() or df.persist() so that its actually cached

[@devendramacherla6147]

Very helpful , thanks a lot

[@ashokgupta-om7nb]

we are using databricks notebook for extracting and transforming the data and writing it to another location/ADLS2/SQL. job runs once in a day. do you think cache can help us in improving the execution time?

[@TRRaveendra]

If you are doing more transformations then its useful. If u r doing direct 1 to 1 mapping there is no use for cache.

[@himanshunanda8743]

Yes

[@sahithiganji6400]

Hi can you help us how to certify apache Spark associate developer

[@pvntractors7948]

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