In this part the main way we will be working with Python and Spark is through the DataFrame Syntax. If you have worked with pandas in Python, R, SQL or even Excel, a DataFrame will feel very familiar! Spark DataFrames hold data in a column and row format Each column represents some feature or variable […]
Spark
Spark and Python for Big Data with PySpark
Why to learn it? Spark has been reported to be one of the most valuable tech skills to learn. Spark is quickly becoming one of the most powerful Big Data tools! You also have the ability to run programs up to 100x faster than MapReduce in memory. What is Spark? Apache Spark is an open-source distributed […]
Apache Spark Build in Functions
PySpark Pandas All code can be downloaded below and you can run it complete for free in Google Colab. from pyspark.sql import functions print(dir(functions)) AutoBatchedSerializer Column DataFrame DataType PandasUDFType PickleSerializer PythonEvalType SparkContext StringType ascii asin atan atan2 basse64 bitwiseNOT blacklist UserDefinedFunction abs acos add_onths approxCountDistinct apprrox_count_distinct array array_containsss asc broadcast bround cbrt ceil coalesce col […]
Spark vs Pandas vs Dask
So if you know Pandas why should you learn Apache Spark? Pandas features: Tabular data ( and here more features than Spark ) Pandas can handle to million rows Limit to a single machine Pandas is not a distributed system. Dask vs Spark Apache Spark Dask Language Scala, Java, Python, R, SQL Python Scale 1-1000 […]