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Apache Spark 2 - Development and Deployment Life Cycle
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As part of the course Apache Spark 2 using Python 3, let us understand how to build applications using pycharm and deploy using resources effectively.
itversiry LMS course(CCA 175 Spark and Hadoop Developer – Python – 93 Days Lab):
As part of last session we will be seeing:
* Complete development life cycle using pycharm
* Deployment life cycle
* Run time arguments to change run time behavior of jobs
* static allocation
* customizing num-executors, executor-mem and executor-cores
* dynamic allocation
* and more
On our YouTube channel we conduct live sessions regularly. Please do subscribe to get notifications for our live sessions by clicking here.
For quick itversity updates, subscribe to our newsletter or follow us on social platforms.
#Python #PySpark #Spark2 #itversity #Spark #DataEngineering
Join this channel to get access to perks:
itversiry LMS course(CCA 175 Spark and Hadoop Developer – Python – 93 Days Lab):
As part of last session we will be seeing:
* Complete development life cycle using pycharm
* Deployment life cycle
* Run time arguments to change run time behavior of jobs
* static allocation
* customizing num-executors, executor-mem and executor-cores
* dynamic allocation
* and more
On our YouTube channel we conduct live sessions regularly. Please do subscribe to get notifications for our live sessions by clicking here.
For quick itversity updates, subscribe to our newsletter or follow us on social platforms.
#Python #PySpark #Spark2 #itversity #Spark #DataEngineering
Join this channel to get access to perks:
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