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What is Pyspark ?
PySpark is a python API for spark released by Apache Spark community to support python with Spark. Using PySpark, one can easily integrate and work with RDD in the python programming language too. There are numerous features that make PySpark such an amazing framework when it comes to working with huge datasets. Whether it is to perform computations on large data sets or to just analyze them, Data engineers are turning to this tool.
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Features :
Fast processing : It is much faster than other traditional frameworks for processing large datasets.
Real time Computation : Because of the in-memory processing in PySpark framework, it shows low latency
Polyglot : PySpark framework is compatible with various languages like Scala, Java, Python and R, which makes it one of the most preferable frameworks for processing huge datasets
RDD : Python programming language is dynamically typed which helps when working with RDD.
Apache Spark has fast become the most popular analytics engine for big data and machine learning.Today’s most cutting-edge companies such as Apple, Netflix, Facebook, and Uber have deployed Spark at massive scale, processing petabytes of data to deliver innovations from detecting fraudulent behavior to delivering personalized experiences in real-time that are transforming every industry.
Top Application in spark
Fraud detection
Live Dashboard
Real time Processing
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