85
50
€
Delivery
by Fri, 25 Sep
14,00 €
shipping cost
Sent from Greece
Description
Specifications
The speed of Apache Spark, its ease of use, advanced analytical processing capabilities, and support for multiple languages make knowledge of this distributed computing framework an essential skill for data engineers and data scientists.
With this practical guide, anyone seeking an introduction to Spark will learn effective algorithms and examples using PySpark.
In each chapter, author Mahmoud Parsian shows how to solve a data problem with a set of Spark transformations and algorithms. You will learn to address issues related to ETL, design patterns, machine learning algorithms, data partitioning, and genomic analysis.
Each detailed application example includes PySpark algorithms using the PySpark driver in an appropriate interactive environment.
Manufacturer
- Publisher
- Iatrikes Ekdoseis P. CH. Paschalidis
- Type
- Computers - Information Technology
- Language
- Greek
- Subtitle
- -
- Cover
- Soft
- Number of Pages
- -
- Release Date
- -
- Publication Date
- -
- Dimensions
- -
- ISBN-13
- 9789925353026
Important information
Specifications are collected from official manufacturer websites. Please verify the specifications before proceeding with your final purchase. If you notice any problem you can report it here.