BOOKS - Practical Data Science with Hadoop and Spark: Designing and Building Effectiv...
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data and Analytics) - Ofer Mendelevitch December 8, 2016 PDF  BOOKS
ECO~32 kg CO²

3 TON

Views
38521

Telegram
 
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data and Analytics)
Author: Ofer Mendelevitch
Year: December 8, 2016
Format: PDF
File size: PDF 13 MB
Language: English



Pay with Telegram STARS
''

You may also be interested in:

ALGORITHMIC FINANCE: A COMPANION TO DATA SCIENCE
Homomorphic Encryption for Data Science (HE4DS)
Data Science Techniques and Intelligent Applications
Advanced Mathematical Applications in Data Science
Data Science. Наука о данных с нуля
Hands on Data Science for Biologists Using Python
Data Science Fundamentals Pocket Primer
Build a Career in Data Science (Final)
ChatGPT Cheat Sheet for Data Science
Python for R Users A Data Science Approach
From Concepts to Code Introduction to Data Science
Data Science with Rust From Fundamentals to Insights
Data Science Fundamentals Pocket Primer
Encyclopedia of Data Science and Machine Learning
Python Data Science By Example A Hands-On Introduction
Как быть успешным в Data Science
Doing Data Science: Straight Talk from the Frontline
Как быть успешным в Data Science
Learn Data Science with R Novice to Expert
Data Science with Rust From Fundamentals to Insights
Data Science Applied to Sustainability Analysis
Algorithmic Finance A Companion to Data Science
Data Science for Business and Decision Making
The Data Science Handbook, 2nd Edition
Learn Python and Data Science in 45 Min
Fundamentals of Data Science: Theory and Practice
Data Science. Наука о данных с нуля
Homomorphic Encryption for Data Science (HE4DS)
Principles of managerial statistics and data science
The Data Science Handbook, 2nd Edition
From Concepts to Code Introduction to Data Science
Practical Implementation of a Data Lake Translating Customer Expectations into Tangible Technical Goals
Practical Data Analysis Using Open Source Tools & Techniques (Volume Book 1)
Practical Implementation of a Data Lake Translating Customer Expectations into Tangible Technical Goals
Linux Fundamentals A Practical Guide for Data Scientists, Machine Learning Engineers, and IT Professionals
Practical Optimism: The Art, Science, and Practice of Exceptional Well-Being
Practical Programming An Introduction to Computer Science Using Python 3
Winning with Data Science: A Handbook for Business Leaders
Audit Analytics: Data Science for the Accounting Profession (Use R!)
Mathematics for Data Science Linear Algebra with Matlab