Learning Spark
Data is bigger, arrives faster, and comes in a variety of formatsâ??and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why s…
34 AI-mapped connections to other books on Hikara
Books that ECHO Learning Spark
Reads that harmonize with similar ideas, themes, or philosophies.
Scaling Machine Learning with Spark
Adi Polak
Python for Data Analysis
Wes McKinney
Kubernetes in Action, Second Edition
Marko Lukša, Kevin Conner
Docker Deep Dive
Nigel Poulton
Learn Docker in a Month of Lunches, Second Edition
Elton Stoneman
Grokking Relational Database Design
Qiang Hao, Michail Tsikerdekis
The Self-Taught Cloud Computing Engineer
Dr. Logan Song
Engineering MLOps
Emmanuel Raj
Books that BRIDGE from Learning Spark
Cross-domain reads that transfer ideas into new fields.
Java: A Beginner's Guide, Ninth Edition
Herbert Schildt
Applied Machine Learning
Jason Hodson
Deep Learning from Scratch
Seth Weidman
The Linux Command Line, 3rd Edition
William Shotts
Essential Math for Data Science
Thomas Nield
R for Data Science
Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund
Data Science from Scratch
Joel Grus
Practical Lakehouse Architecture
Gaurav Ashok Thalpati
Learn Microsoft Power BI
Greg Deckler
Machine Learning for Tabular Data
Mark Ryan, Luca Massaron
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