000			01414 a2200205 4500
020			_a9789355422804
082			_a006.312 TAN
100			_aTandon, Akash,
245			_aAdvanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark
260			_bShroff Publishers & Distributors Pvt. Ltd. _aMumbai _c2022
300			_a220
520			_aThe 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.
650			_aData mining
650			_aPython (Computer program language)
650			_aSPARK (Electronic resource)
700			_aRyza, Sandy
700			_aLaserson, Uri
700			_aOwen, Sean
942			_cBK _2ddc
999			_c45655 _d45655