BOOKS - OS AND DB - Principles of Data Integration
Principles of Data Integration -  2012 PDF Morgan Kaufmann BOOKS OS AND DB
ECO~23 kg CO²

2 TON

Views
96037

Telegram
 
Principles of Data Integration
Year: 2012
Format: PDF
File size: 10,9 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 90)
Qlik Sense: Advanced Data Visualization for Your Organization: Create smart data visualizations and predictive analytics solutions
Statistics, Data Mining and Machine Learning in Astronomy A Practical Python Guide for the Analysis of Survey Data, Updated Ed
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
Advanced Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Supervised and Unsupervised Data Engineering for Multimedia Data
Supervised and Unsupervised Data Engineering for Multimedia Data
Predictive Data Modelling for Biomedical Data and Imaging
Data Protection Ensuring Data Availability Second Edition
Data Intensive Computing Applications for Big Data
Data Engineering and Data Science Concepts and Applications
Data Science and Data Analytics Opportunities and Challenges
Data Mesh: Delivering Data-Driven Value at Scale
Data Science Fundamentals with R, Python, and Open Data
Building a Scalable Data Warehouse with Data Vault 2.0
Data Engineering and Data Science: Concepts and Applications
Predictive Data Modelling for Biomedical Data and Imaging
Data Science Fundamentals with R, Python, and Open Data
Supervised and Unsupervised Data Engineering for Multimedia Data
Practical Python Data Wrangling and Data Quality
Data Science Fundamentals with R, Python, and Open Data
Probability and statistics for data science math + R + data
Data Architecture A Primer for the Data Scientist Second Edition
Data Science with Python From Data Wrangling to Visualization
Data Analytics and Python Programming 2 Bundle Manuscript Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Python Programming
Automated Data Analysis Using Excel (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Second Edition
Practical Data Analytics for BFSI Leveraging Data Science for Driving Decisions in Banking, Financial Services, and Insurance Operations
Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Python for Beginners Start Right Now to Learn Computer Programming with the Best Crash Course. Improve your Skills with Machine Learning, Data Analysis and Data Science
Hands-On Data Structures and Algorithms with Python: Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition
Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data
Data Labeling in Machine Learning with Python: Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
Web Analytics Blueprint: Unleashing Data Insights for Digital Success: Unlocking the Power of Data Analysis to Drive Business Growth and Optimization
Effective Data Visualization The Right Chart for the Right Data
Be Data Analytical: How to Use Analytics to Turn Data into Value
Data Fabric as Modern Data Architecture
Data Protection and Data Transfers Law
Python for Data Analysis From the Beginner to Expert Crash Course 3.0 that will Change your Life as a Digital Programmer Thanks to the Minimalism of this Manual. Deep Machine Learning and Big Data
Smart Data Analytics: Mit Hilfe von Big Data Zusammenhange erkennen und Potentiale nutzen (De Gruyter Praxishandbuch) (German Edition)
Ultimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by Leveraging MLBase.jl and MLJ.jl to Optimize Workflows