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You're reading from  Essential PySpark for Scalable Data Analytics

Product typeBook
Published inOct 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800568877
Edition1st Edition
Languages
Python
Tools
PySpark
Concepts
Big Data
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Author (1)
Sreeram Nudurupati
Sreeram Nudurupati
author image
Sreeram Nudurupati

Sreeram Nudurupati is a data analytics professional with years of experience in designing and optimizing data analytics pipelines at scale. He has a history of helping enterprises, as well as digital natives, build optimized analytics pipelines by using the knowledge of the organization, infrastructure environment, and current technologies.
Read more about Sreeram Nudurupati

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Using file formats for data storage in data lakes

The file format you choose to store data in a data lake is key in determining the ease of data storage and retrieval, query performance, and storage space. So, it is vital that you choose the optimal data format that can balance these factors. Data storage formats can be broadly classified into structured, unstructured, and semi-structured formats. In this section, we will explore each of these types with the help of code examples.

Unstructured data storage formats

Unstructured data is any data that is not represented by a predefined data model and can be either human or machine-generated. For instance, unstructured data could be data stored in plain text documents, PDF documents, sensor data, log files, video files, images, audio files, social media feeds, and more.

Unstructured data might contain important patterns, and extracting these patterns could lead to valuable insights. However, storing data in unstructured format...

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Essential PySpark for Scalable Data Analytics
Published in: Oct 2021Publisher: PacktISBN-13: 9781800568877
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sreeram Nudurupati

Sreeram Nudurupati is a data analytics professional with years of experience in designing and optimizing data analytics pipelines at scale. He has a history of helping enterprises, as well as digital natives, build optimized analytics pipelines by using the knowledge of the organization, infrastructure environment, and current technologies.
Read more about Sreeram Nudurupati

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