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PySpark - Convert Column from String to Timestamp Format
Academy Membership PySparkPython

PySpark - Convert Column from String to Timestamp Format

Introduction In data processing, it's common to find timestamp fields as strings. Converting these string representations into proper timestamp formats is crucial for accurate data analysis and processing. In this tutorial, we will explore how to convert a string to a timestamp column in a PySpark DataFrame. Import...

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dbt Core vs dbt Cloud
Academy Membership dbtData Engineering

dbt Core vs dbt Cloud

Introduction dbt comes in two versions - dbt Core and dbt Cloud. While both provide the core functionality for data transformation, they serve different purposes and are suited to different requirements. In this tutorial, we’ll dive into the features of dbt Core and dbt Cloud, highlighting the key differences...

Overview of essential dbt commands

Overview of essential dbt commands

Introduction dbt empowers data professionals to transform raw data into clean, analytics-ready datasets. Mastering its essential commands is key to unlocking its full potential. In this tutorial, we’ll explore the key dbt commands, providing both the syntax and a short description for each command. This tutorial is also a...

PySpark - Extract a Substring from a DataFrame Column
Academy Membership PySparkPython

PySpark - Extract a Substring from a DataFrame Column

Introduction When dealing with large datasets in PySpark, it's common to encounter situations where you need to manipulate string data within your DataFrame columns. One such common operation is extracting a portion of a string—also known as a substring—from a column. In this tutorial, we will...

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