A PySpark library to apply SQL-like analysis on a huge amount of structured or semi-structured data. We can also use SQL queries with PySparkSQL. It can also be connected to Apache Hive. HiveQL can be also be applied. PySparkSQL is a wrapper over the PySpark core. PySparkSQL introduced the DataFrame, a tabular representation of structured data. Training Institute: Do you know many of the training institutes subscribe this products from HadoopExam to train their students. Books: If you subscribed books from the bltadwin.ru website then all future edition of the same book (same book title) would not be charged. PySpark: Python Spark Hands On Professional Training: PySpark 2.X (Using Python) Professional Training with Hands On Sessions: In total 21+ Modules and 8+ Hrs. Hands On Exercises. Core concepts and fundamentals are covered. Each Video .
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