BOOKS - Architecting a Modern Data Warehouse for Large Enterprises
Architecting a Modern Data Warehouse for Large Enterprises - Anjani Kumar, Abhishek Mishra, Sanjeev Kumar 2024 PDF Apress BOOKS
ECO~15 kg CO²

1 TON

Views
11289

Telegram
 
Architecting a Modern Data Warehouse for Large Enterprises
Author: Anjani Kumar, Abhishek Mishra, Sanjeev Kumar
Year: 2024
Pages: 378
Format: PDF
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
The book "Architecting a Modern Data Warehouse for Large Enterprises" by David L. Simpson, published in 2019, provides a comprehensive guide to designing, building, and maintaining a modern data warehouse for large enterprises. The author emphasizes the importance of understanding the evolution of technology and its impact on society, as well as the need to develop a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity and the unification of people in a warring state. The book begins by discussing the challenges faced by large enterprises when it comes to managing their data assets. With the increasing amount of data being generated every day, it has become essential for organizations to have a robust data management system in place to make sense of this information and use it to inform their business decisions. However, traditional data warehousing solutions are often insufficient for handling the scale and complexity of big data, leading to the need for a more modern approach. The author then delves into the concept of a modern data warehouse, which is designed to handle the vast amounts of structured and unstructured data that enterprises generate.
''

You may also be interested in:

Data Mining and Data Warehousing Principles and Practical Techniques
Automating Data Quality Monitoring: Going Deeper Than Data Observability
Critical Data Literacies Rethinking Data and Everyday Life
Visualizing Data: Exploring and Explaining Data with the Processing Environment
Advances in Data Science Symbolic, Complex, and Network Data
The Left Hand of Data: Designing Education Data for Justice
Data Leadership for Everyone: How You Can Harness the True Power of Data at Work
Effective Data Visualization The Right Chart for the Right Data, 2nd Edition
Data Fluency Empowering Your Organization with Effective Data Communication
Data Smart: Using Data Science, 2nd Ed. Jordan Goldmeier
Core Data in Swift Data Storage and Management for iOS and OS X
Bad Data Handbook Cleaning Up The Data So You Can Get Back To Work
Storytelling with Data: A Data Visualization Guide for Business Professionals
Data Visualization and Statistical Literacy for Open and Big Data
Data Science and Big Data Analytics in Smart Environments
Good, the Bad, and the Data: Shane the Lone Ethnographer|s Basic Guide to Qualitative Data Analysis
Taming The Big Data Tidal Wave Finding Opportunities in Huge Data Streams with Advanced Analytics
Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing)
Tableau for Salesforce: Visualise data and generate insights with the leading platforms for data analytics (English Edition)
Predictive Data Modelling for Biomedical Data and Imaging (River Publishers Series in Biotechnology and Medical Research)
Avoiding Data Pitfalls How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations
Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Statistical and Machine-Learning Data Mining Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition
Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks
Hands-on Data Analysis and Visualization with Pandas Engineer, Analyse and Visualize Data, Using Powerful Python Libraries
Data Structures and Algorithms Made Easy in Java Data Structure and Algorithmic Puzzles, 5th Edition
Graph Data Science with Python and Neo4j Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
Graph Data Science with Python and Neo4j Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
Qlik Sense: Advanced Data Visualization for Your Organization: Create smart data visualizations and predictive analytics solutions
Azure Data Engineer Associate Certification Guide: Ace the DP-203 exam with advanced data engineering skills
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
Supply Chain Performance Evaluation: Application of Data Envelopment Analysis (Studies in Big Data Book 122)
Data Science in Chemistry Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter (De Gruyter Textbook)
Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 90)
Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics (Third Early Release)
Python Data Science The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine Learning, and Their Application
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
Supervised and Unsupervised Data Engineering for Multimedia Data