BOOKS - OS AND DB - NoSQL Data Models Trends and Challenges
NoSQL Data Models Trends and Challenges - Olivier Pivert 2018 PDF | DJVU Wiley-ISTE BOOKS OS AND DB
ECO~14 kg CO²

1 TON

Views
51652

Telegram
 
NoSQL Data Models Trends and Challenges
Author: Olivier Pivert
Year: 2018
Pages: 278
Format: PDF | DJVU
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Python Data Science Handbook: Essential Tools for Working with Data
Data Analytics and Machine Learning Navigating the Big Data Landscape
Python Data Science Handbook Essential Tools for Working with Data
Effective Data Science Infrastructure How to Make Data Scientists Productive
Data Visualisation A Handbook for Data Driven Design 2nd Edition
Data Mining and Exploration From Traditional Statistics to Modern Data Science
Foundations for Architecting Data Solutions Managing Successful Data Projects
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
The Self-Service Data Roadmap Democratize Data and Reduce Time to insight (Early Release)
Behavioral Data Analysis with R and Python Customer-Driven Data for Real Business Results
Big Data and Analytics for Beginners: Navigating the World of Data-Driven Decision Making
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
Big Data, Data Mining, and Machine Learning Value Creation for Business Leaders and Practitioners
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
Data Centric Artificial Intelligence: A Beginner|s Guide (Data-Intensive Research)
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Early Release)
Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
R Graphics Essentials for Great Data Visualization +200 Practical Examples You Want to Know for Data Science
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Tableau for Salesforce Visualise data and generate insights with the leading platforms for data analytics
Big Data, Small Devices Investigating the Natural World Using Real-Time Data
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Data Governance The Definitive Guide People, Processes, and Tools to Operationalize Data Trustworthiness
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition
Data Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning
Data Universe: Organizational Insights with Python: Embracing Data Driven Decision Making
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, First Edition
Tableau for Salesforce Visualise data and generate insights with the leading platforms for data analytics
The Data Preparation Journey: Finding Your Way with R (Chapman and Hall CRC Data Science Series)
The Real Work of Data Science Turning data into information, better decisions, and stronger organizations
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Univariate, Bivariate, and Multivariate Statistics Using R Quantitative Tools for Data Analysis and Data Science