Nudurupati Essential PySpark for Scalable Data Analytics

A beginner's guide to harnessing the power and ease of PySpark 3
1. Auflage 2021
ISBN: 978-1-80056-309-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 322 Seiten

No detailed description available for "Essential PySpark for Scalable Data Analytics".

Autoren/Hrsg.

Nudurupati, Sreeram

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

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

Über Autor(innen)

Nudurupati Sreeram:
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.