Books — Apache Spark

EN
Data Engineering for Beginners

Data Engineering for Beginners

A

Chisom Nwokwu

AI and ML
EN
Data Engineering with Scala and Spark

Data Engineering with Scala and Spark

A

Eric Tome, Rupam Bhattacharjee, David Radford

AI and ML
EN
Stream Processing with Apache Spark: Best Practices for Scaling and Optimizing Apache Spark

Stream Processing with Apache Spark: Best Practices for Scaling and Optimizing Apache Spark

A

Gerard Maas, François Garillot

Programming languages
EN
Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets

Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets

A

Ed Elliott

Programming languages
EN
Big Data Management and Analytics

Big Data Management and Analytics

A

Brij B Gupta, Mamta

AI and ML
RU
Spark in Action. With Examples in Java, Python, and Scala

Spark in Action. With Examples in Java, Python, and Scala

A

Жан-Жорж Перрен

Programming languages
RU
Big Data Processing with Apache Spark

Big Data Processing with Apache Spark

A

Н. А. Бутаков, М. В. Петров, Д. Насонов

AI and ML
RU
Effective Spark. Scaling and Optimization

Effective Spark. Scaling and Optimization

A

Холден Карау, Рейчел Уоррен

AI and ML
RU
Graph Algorithms. Practical Implementation on Apache Spark and Neo4j Platforms

Graph Algorithms. Practical Implementation on Apache Spark and Neo4j Platforms

A

Марк Нидхем, Эми Ходлер

Algorithms and theory
RU
Big Data Processing

Big Data Processing

B

Джейд Картер

AI and ML
RU
Spark for Professionals: Modern Big Data Processing Patterns

Spark for Professionals: Modern Big Data Processing Patterns

A

Сэнди Риза, Ури Лезерсон, Шон Оуэн, Джош Уиллс

Algorithms and theory
RU
Python for Geeks

Python for Geeks

A

Мухаммад Азиф

Programming languages
EN
Data Analysis with Python and PySpark

Data Analysis with Python and PySpark

A

Джонатан Риу

AI and ML