BOOKS - OS AND DB - Big Data For Dummies
Big Data For Dummies - Judith S. Hurwitz, Alan Nugent, Fern Halper 2013 PDF For Dummies BOOKS OS AND DB
ECO~15 kg CO²

1 TON

Views
77224

Telegram
 
Big Data For Dummies
Author: Judith S. Hurwitz, Alan Nugent, Fern Halper
Year: 2013
Pages: 336
Format: PDF
File size: 5 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Big Data For Dummies
Big Data Governance Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics
Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage
Data Analytics and Machine Learning: Navigating the Big Data Landscape (Studies in Big Data, 145)
Big Data Management Data Governance Principles for Big Data Analytics, 1st Edition
Big data A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data Science, Data Analytics, Business Intelligence, and Data Mining
Big Data Systems A 360-degree Approach (Chapman & Hall/CRC Big Data Series)
Big Data Revolution What farmers, doctors and insurance agents teach us about discovering big data patterns
Big Data Recommender Systems - Volume 1 Algorithms, Architectures, Big Data, Security and Trust
Big Data and Smart Digital Environment (Studies in Big Data Book 53)
Designing Big Data Platforms How to Use, Deploy, and Maintain Big Data Systems
Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Data Analytics Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Harness the Power of Big Data The IBM Big Data Platform
The Data Revolution Big Data, Open Data, Data Infrastructures and Their Consequences
Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications (IoT and Big Data Analytics)
Data Modeling Made Simple with Embarcadero ER/Studio Data Architect Adapting to Agile Data Modeling in a Big Data World
Python for Data Science For Dummies (For Dummies (Computer/Tech)), 2nd Edition
Big Data, Data Mining and Data Science Algorithms, Infrastructures, Management and Security
Excel Data Analysis for Dummies (For Dummies (Computer Tech))
The Big Data Agenda Data Ethics and Critical Data Studies
Big Data and Analytics The key concepts and practical applications of Big Data analytics
Big Data and Analytics The key concepts and practical applications of Big Data analytics
Data Science from Scratch Want to become a Data Scientist? This guide for beginners will walk you through the world of Data Science, Big Data, Machine Learning and Deep Learning
Business Intelligence An Essential Beginner’s Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing
Data Governance Tools Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management
Big data Understanding How Data Powers Big Business
Big Data, Big Design Why Designers Should Care about Artificial Intelligence
Big Data in Astronomy Scientific Data Processing for Advanced Radio Telescopes
Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things
Introducing Data Science Big data, machine learning, and more, using Python tools
Analytics in a Big Data World The Essential Guide to Data Science and its Applications
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
The Visual Organization Data Visualization, Big Data, and the Quest for Better Decisions
Data Analytics and Machine Learning Navigating the Big Data Landscape
Data and AI Driving Smart Cities (Studies in Big Data, 128)
Data Analytics and Machine Learning Navigating the Big Data Landscape
Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today|s Businesses
Big Data and Analytics for Beginners: Navigating the World of Data-Driven Decision Making