Spark is a distributed framework for facilitating parallel processing. The parallel algorithms require computation and communication between machines. While communicating, machines send or exchange data. This is also known as shuffling .
Writing code is easy. But writing a program that is efficient and easy to understand by others requires more effort. This chapter presents some techniques for making the PySpark program clearer and more efficient.
Making decisions is a day-to-day activity. Our data-conscious population wants to include data analysis and ...
