BOOKS - Data Warehouse and Data Mining Concepts, techniques and real life application...
Data Warehouse and Data Mining Concepts, techniques and real life applications - Jugnesh Kumar 2024 EPUB BOOKS
ECO~14 kg CO²

1 TON

Views
44211

Telegram
 
Data Warehouse and Data Mining Concepts, techniques and real life applications
Author: Jugnesh Kumar
Year: 2024
Pages: 214
Format: EPUB
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
The book "Data Warehouse and Data Mining Concepts, Techniques, and Real-Life Applications" provides a comprehensive overview of data warehousing and data mining concepts, techniques, and their practical applications in various industries. The book covers the fundamental principles of data warehousing, data mining, and business intelligence, as well as advanced topics such as data governance, data quality, and data visualization. It also explores the latest trends and technologies in data warehousing and data mining, including big data analytics, cloud computing, and machine learning. The book is divided into four parts: Part I provides an introduction to data warehousing and data mining, including the history, evolution, and current state of these fields. Part II delves into the technical aspects of data warehousing and data mining, covering topics such as data modeling, data design, and data implementation. Part III discusses the practical applications of data warehousing and data mining in various industries, including healthcare, finance, marketing, and human resources. Finally, Part IV looks at the future of data warehousing and data mining, including emerging trends and technologies that are shaping the field.
''

You may also be interested in:

Data Warehouse and Data Mining Concepts, techniques and real life applications
Data Warehouse and Data Mining Concepts, techniques and real life applications
Data Warehouse and Data Mining: Concepts, techniques and real life applications (English Edition)
Deciphering Data Architectures Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Deciphering Data Architectures Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
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
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
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
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)
Big Data, Data Mining and Data Science Algorithms, Infrastructures, Management and Security
Data Mining Concepts and Techniques
Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse
Data Mining Concepts, Models, Methods, and Algorithms, Third Edition
Predictive Analytics and Data Mining Concepts and Practice with RapidMiner
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
Building a Scalable Data Warehouse with Data Vault 2.0
Data Mining for Business Analytics Concepts, Techniques and Applications in Python
Text Mining Concepts, Implementation, and Big Data Challenge, 2nd Edition
Data Mining for Business Analytics Concepts, Techniques, and Applications with XLMiner, 3rd Edition
Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, … Notes in Computer Science Book 13936)
Machine Learning for Business How to Build Artificial Intelligence through Concepts of Statistics, Algorithms, Analysis, and Data Mining
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP
Data Mining and Exploration From Traditional Statistics to Modern Data Science
Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-cloud Modern Distributed Data Warehouses with Azure and AWS
Big Data, Data Mining, and Machine Learning Value Creation for Business Leaders and Practitioners
Data Modeling with Microsoft Power BI Self-Service and Enterprise Data Warehouse with Power BI (Final Release)
Data Modeling with Microsoft Power BI Self-Service and Enterprise Data Warehouse with Power BI (Final Release)
Handbook of Research on Big Data and the IoT (Advances in Data Mining and Database Management (ADMDM))
Data Mining and Data Warehousing Principles and Practical Techniques
Data Fusion and Data Mining for Power System Monitoring
Statistical and Machine-Learning Data Mining Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition
Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Advanced Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Statistics, Data Mining and Machine Learning in Astronomy A Practical Python Guide for the Analysis of Survey Data, Updated Ed
Automated Data Analysis Using Excel (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Second Edition
Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Data Engineering and Data Science Concepts and Applications