PySpark

PySpark

Dive into the world of PySpark, the powerful Python API for Apache Spark, designed for big data processing and analytics! Our comprehensive hands-on tutorials equip you with the skills to handle large-scale data and perform distributed computing with ease. Learn how to leverage PySpark's rich ecosystem to build data pipelines, execute complex transformations, and perform machine learning on big datasets. Our step-by-step guides will help you master PySpark. Dive in and start learning PySpark.

37 posts
PySpark - Create Embedding Vectors with Sentence-Transformers
Academy Membership PySparkPython

PySpark - Create Embedding Vectors with Sentence-Transformers

Introduction In today's data-driven world, understanding text data is crucial across various domains, from data analysis to engineering and architecture. However, dealing with text data often requires converting it into numerical representations for machine learning models to process efficiently. This is where embedding vectors come into play, offering...

PySpark - Concatenate String Columns of a DataFrame
Academy Membership PySparkPython

PySpark - Concatenate String Columns of a DataFrame

Introduction In this tutorial, we will show you how to concatenate multiple string columns of a PySpark DataFrame into a single column. In order to do this, we will use the functions concat() and concat_ws() of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql...

PySpark - Group and Concatenate Strings in a DataFrame
Academy Membership PySparkPython

PySpark - Group and Concatenate Strings in a DataFrame

Introduction In this tutorial, we will show you how to group and concatenate strings in a PySpark DataFrame. In order to do this, we will use the groupBy() method in combination with the functions concat_ws(), collect_list() and array_distinct() of PySpark. Import Libraries First, we import the following...

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