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Data Analytics with Spark Using Python, First edition
book

Data Analytics with Spark Using Python, First edition

by Jeffrey Aven
June 2018
Beginner to intermediate content levelBeginner to intermediate
320 pages
10h 1m
English
Addison-Wesley Professional
Content preview from Data Analytics with Spark Using Python, First edition

Index

Symbols

<- (assignment) operator, 244

: (colon), 19

{ } (curly braces), 19

() (parentheses), 19

[ ] (square brackets), 19

0MQ (ZeroMQ), 228

7-Zip, 34

A

accumulator() method, 117

accumulators, 116117

accumulator() method, 117

custom, 117118

DStreams, 216

sample exercise, 119120

uses for, 118

value() method, 117

actions, 48, 81

collect(), 82, 128, 152

count(), 81, 128

defined, 59, 60

example of, 72

first(), 83

fold(), 8485

foreach(), 85

reduce(), 84

take(), 82, 152

takeSample(), 152

top(), 8283

ActiveMQ, 228

addInPlace() function, 118

aggregateByKey() function, 150

algorithmic functions, 184

allocation, dynamic, 153

ALS (Alternating Least Squares) technique

Spark ML, 272273

Spark MLlib, 266

Amaterasu, 148

Amazon Kinesis, 237

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Publisher Resources

ISBN: 9780134844855