TY  - GEN
AU  - Tandon, Akash,
AU  - Ryza,  Sandy
AU  - Laserson, Uri 
AU  - Owen, Sean 
TI  - Advanced Analytics with PySpark:  Patterns for Learning from Data at Scale Using Python and Spark
SN  - 9789355422804
U1  - 006.312 TAN 
PY  - 2022///
CY  - Mumbai
PB  - Shroff Publishers & Distributors Pvt. Ltd.
KW  - Data mining
KW  - Python (Computer program language)
KW  - SPARK (Electronic resource)
N2  - The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming.

Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection, to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing
ER  -