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Essential PySpark for Scalable Data Analytics /
Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scale Key Features Discover how to convert huge amounts of raw data into meaningful and actionable insights Use Spark's unified analytics engine for end-to-end analytics, from...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2021.
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| Edición: | 1st edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Table of Contents Distributed Computing Primer Data Ingestion Data Cleansing and Integration Real-time Data Analytics Scalable Machine Learning with PySpark Feature Engineering – Extraction, Transformation, and Selection Supervised Machine Learning Unsupervised Machine Learning Machine Learning Life Cycle Management Scaling Out Single-Node Machine Learning Using PySpark Data Visualization with PySpark Spark SQL Primer Integrating External Tools with Spark SQL The Data Lakehouse.