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You're reading from  Distributed Data Systems with Azure Databricks

Product typeBook
Published inMay 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781838647216
Edition1st Edition
Languages
Python
Tools
Azure Functions
Concepts
Data Science
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Author (1)
Alan Bernardo Palacio
Alan Bernardo Palacio
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Alan Bernardo Palacio

Alan Bernardo Palacio is a data scientist and an engineer with vast experience in different engineering fields. His focus has been the development and application of state-of-the-art data products and algorithms in several industries. He has worked for companies such as Ernst and Young, Globant, and now holds a data engineer position at Ebiquity Media helping the company to create a scalable data pipeline. Alan graduated with a Mechanical Engineering degree from the National University of Tucuman in 2015, participated as the founder in startups, and later on earned a Master's degree from the faculty of Mathematics in the Autonomous University of Barcelona in 2017. Originally from Argentina, he now works and resides in the Netherlands.
Read more about Alan Bernardo Palacio

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pandas DataFrame API (Koalas)

Data scientists and data engineers that are Python users are very familiar with working with pandas DataFrames when manipulating data. pandas is a Python library for data manipulation and analysis but that lacks the capability to work with big data, therefore it is only suitable when working with small datasets. When we need to work with more data, the most common option is PySpark, as we have demonstrated in the previous section, which is a library with a very different syntax than pandas.

Koalas is a library that eases the learning curve from transitioning from pandas to working with big data in Azure Databricks. Koalas has a syntax that is very similar to the pandas API but with the functionality of PySpark.

Not all the pandas methods have been implemented and there are many small differences or subtleties that must be considered and might not be obvious. We cannot understand Koalas without understanding PySpark.

Koalas, functionality is built...

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Distributed Data Systems with Azure Databricks
Published in: May 2021Publisher: PacktISBN-13: 9781838647216
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alan Bernardo Palacio

Alan Bernardo Palacio is a data scientist and an engineer with vast experience in different engineering fields. His focus has been the development and application of state-of-the-art data products and algorithms in several industries. He has worked for companies such as Ernst and Young, Globant, and now holds a data engineer position at Ebiquity Media helping the company to create a scalable data pipeline. Alan graduated with a Mechanical Engineering degree from the National University of Tucuman in 2015, participated as the founder in startups, and later on earned a Master's degree from the faculty of Mathematics in the Autonomous University of Barcelona in 2017. Originally from Argentina, he now works and resides in the Netherlands.
Read more about Alan Bernardo Palacio

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