BOOKS - PROGRAMMING - Big Data Processing with Apache Spark
Big Data Processing with Apache Spark - Srini Penchikala 2018 PDF  BOOKS PROGRAMMING
ECO~12 kg CO²

1 TON

Views
16767

Telegram
 
Big Data Processing with Apache Spark
Author: Srini Penchikala
Year: 2018
Pages: 104
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning
Big Data Recommender Systems - Volume 2 Application paradigms (Computing and Networks)
Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology
Smart Grid Communication Infrastructures Big Data, Cloud Computing, and Security
Leading in Analytics The Seven Critical Tasks for Executives to Master in the Age of Big Data
Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology
Smart Grid using Big Data Analytics A Random Matrix Theory Approach
Big Data Analytics and Intelligent Applications for Smart and Secure Healthcare Services
The AI Factor: How to Apply Artificial Intelligence and Use Big Data to Grow Your Business Exponentially
Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
Leading in Analytics The Seven Critical Tasks for Executives to Master in the Age of Big Data
Big data Principles and best practices of scalable realtime data systems
Business Intelligence Strategy and Big Data Analytics: A General Management Perspective
Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 1
Big data : un changement de paradigme peut-il en cacher un autre ? (French Edition)
Hypothesis Generation and Interpretation Design Principles and Patterns for Big Data Applications
Text Mining Concepts, Implementation, and Big Data Challenge, 2nd Edition
Big Data and Edge Intelligence for Enhanced Cyber Defense Principles and Research
Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2
The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement
Digital Ecosystem for Innovation in Agriculture (Studies in Big Data Book 121)
Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop
Actionable Intelligence A Guide to Delivering Business Results with Big Data Fast!
Hypothesis Generation and Interpretation Design Principles and Patterns for Big Data Applications
Applied Natural Language Processing with PyTorch 2.0 Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0
Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources (English Edition)
Real Estate Analysis in the Information Age Techniques for Big Data and Statistical Modeling
Introduction to Bayesian Tracking and Particle Filters (Studies in Big Data Book 126)
Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing Fundamentals, Challenges and Applications
Privacy in the Age of Big Data: Recognizing Threats, Defending Your Rights, and Protecting Your Family
Big Data Computing: Advances in Technologies, Methodologies, and Applications (Computational Intelligence Techniques)
Теоретический минимум по Big Data. Все что нужно знать о больших данных
The Analytics Revolution in Higher Education: Big Data, Organizational Learning, and Student Success
Deep Learning Applications in Image Analysis (Studies in Big Data Book 129)
Armas de destruccion matematica: Como el big data aumenta la desigualdad y amenaza la democracia
Nonparametric Kernel Density Estimation and Its Computational Aspects (Studies in Big Data Book 37)
Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing Fundamentals, Challenges and Applications
Management in the Era of Big data Issues and Challenges (Data Analytics Applications)
Principles of Database Management The Practical Guide to Storing, Managing and Analyzing Big and Small Data