Big data analysis with Python combine Spark and Python to unlock the powers of parallel computing and machine learning

Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control the data avalanche for you. With this book, you'll learn effective techniques to aggregate data into us...

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Bibliographic Details
Main Author: Marin, Ivan
Other Authors: Shukla, Ankit, VK, Sarang
Format: eBook
Language:English
Published: Birmingham, UK Packt Publishing, 2019.
Subjects:
Online Access:EBSCOhost
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264 1 |a Birmingham, UK  |b Packt Publishing,  |c 2019. 
300 |a 1 online resource (276 pages) 
505 0 |a Chapter 1: The Python Data Science Stack -- Chapter 2: Statistical Visualizations -- Chapter 3: Working with Big Data Frameworks -- Chapter 4: Diving Deeper with Spark -- Chapter 5: Handling Missing Values and Correlation Analysis -- Chapter 6: Exploratory Data Analysis -- Chapter 7: Reproducibility in Big Data Analysis -- Chapter 8: Creating a Full Analysis Report 
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