BOOKS - NETWORK TECHNOLOGIES - Cloud Data Centers and Cost Modeling
Cloud Data Centers and Cost Modeling - Rajkumar Buyya 2015 PDF Morgan Kaufmann BOOKS NETWORK TECHNOLOGIES
ECO~19 kg CO²

3 TON

Views
39545

Telegram
 
Cloud Data Centers and Cost Modeling
Author: Rajkumar Buyya
Year: 2015
Format: PDF
File size: 121 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Google Cloud Platform (GCP) Professional Cloud Network Engineer Certification Companion: Learn and Apply Network Design Concepts to Prepare for the Exam (Certification Study Companion Series)
Ultimate Generative AI Solutions on Google Cloud Practical Strategies for Building and Scaling Generative AI Solutions with Google Cloud Tools, Langchain, RAG, and LLMOps
Juvenile Detention Centers: Your Legal Rights (Know Your Rights, 1)
Cloud Computing with AWS: Everything You Need to Know to be an AWS Cloud Practitioner
Enterprise-Grade Hybrid and Multi-Cloud Strategies: Proven strategies to digitally transform your business with hybrid and multi-cloud solutions
Implementing Hybrid Cloud with Azure Arc: Explore the new-generation hybrid cloud and learn how to build Azure Arc-enabled solutions
Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Cloud Native Applications with Ballerina: A guide for programmers interested in developing cloud native applications using Ballerina Swan Lake
Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things
From Data To Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines
Fuzzy Data Matching with SQL Enhancing Data Quality and Query Performance
Power BI Give Life to Your Data With the Complete and Fastest Crash Course on Data Visualization
Data Warehouse and Data Mining Concepts, techniques and real life applications
Analytics in a Big Data World The Essential Guide to Data Science and its Applications
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Final)
Data Pipelines Pocket Reference Moving and Processing Data for Analytics (Final)
Data Warehouse and Data Mining Concepts, techniques and real life applications
Big Data in Astronomy Scientific Data Processing for Advanced Radio Telescopes
Unifying Business, Data, and Code Designing Data Products With JSON Schema
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Introducing Data Science Big data, machine learning, and more, using Python tools
Hands On With Google Data Studio A Data Citizen|s Survival Guide
Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Data in Context: Models as Enablers for Managing and Using Data (The Enterprise Engineering Series)
Explainable Machine Learning for Geospatial Data Analysis A Data-Centric Approach
Confident Data Skills Master the Fundamentals of Working with Data and Supercharge Your Career
Integrity Constraints on Rich Data Types (Synthesis Lectures on Data Management)
Controlling Privacy and the Use of Data Assets - Volume 2 What is the New World Currency – Data or Trust?
Data Is Everybody|s Business: The Fundamentals of Data Monetization (Management on the Cutting Edge)
Data Quality Engineering in Financial Services Applying Manufacturing Techniques to Data
Unifying Business, Data, and Code: Designing Data Products With Json Schema
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Azure Data Factory by Example Practical Implementation for Data Engineers, 2nd Edition
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Unifying Business, Data, and Code Designing Data Products With JSON Schema
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Real-Time Data Analytics for Large Scale Sensor Data Volume Six
Data Engineering with AWS: A Comprehensive Guide to Building Robust Data Pipelines