BOOKS - OS AND DB - Data Deduplication Approaches Concepts, Strategies, and Challenge...
Data Deduplication Approaches Concepts, Strategies, and Challenges - Tin Thein Thwel G. R. Sinha (Editors) 2021 PDF Academic Press BOOKS OS AND DB
ECO~15 kg CO²

1 TON

Views
42999

Telegram
 
Data Deduplication Approaches Concepts, Strategies, and Challenges
Author: Tin Thein Thwel G. R. Sinha (Editors)
Year: 2021
Pages: 393
Format: PDF
File size: 17.4 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Modern Data Architecture on Azure: Design Data-centric Solutions on Microsoft Azure
Modern Data Architecture on Azure Design Data-centric Solutions on Microsoft Azure
Modern Data Architecture on Azure Design Data-centric Solutions on Microsoft Azure
Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook
Python for Data Science Data analysis and Deep learning with Python coding and programming
The Enterprise Big Data Lake Delivering on the Promise of Hadoop and Data Science in the Enterprise
Python For Data Analysis A Beginner|s Guide to Wrangling and Analyzing Data Using Python
Coding with Python Python for Data Analysis and Machine Learning, Let’s Make Data Talk
Data-Centric Business and Applications: ICT Systems - Theory, Radio-Electronics, Information Technologies and Cybersecurity (Lecture Notes on Data Engineering and Communications Technologies)
Data Visualization with TABLEAU The MASTER KEY to Unlock Data Visualization Secrets…
An Introduction to Spatial Data Science with GeoDa Volume 2 Clustering Spatial Data
Financial Data Engineering Design and Build Data-Driven Financial Products
Big Data and Smart Digital Environment (Studies in Big Data Book 53)
Data Analytics with SAS Explore your data and get actionable insights with the power of SAS
Data Science A Comprehensive Beginner’s Guide to Learn About the Realms of Data Science from A-Z
Edge Computing for Data Processing: Unleashing the Power of Distributed Data Processing
An Introduction to Spatial Data Science with GeoDa, Volume 1 Exploring Spatial Data
An Introduction to Spatial Data Science with GeoDa, Volume 1 Exploring Spatial Data
Data Science: A First Introduction (Chapman and Hall CRC Data Science Series)
Data Analytics with SAS Explore your data and get actionable insights with the power of SAS
Financial Data Engineering Design and Build Data-Driven Financial Products
An Introduction to Spatial Data Science with GeoDa Volume 2 Clustering Spatial Data
An Introduction to Spatial Data Science with GeoDa: Volume 1: Exploring Spatial Data
Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions
Data Science A Comprehensive Beginners Guide to Learn the Realms of Data Science
The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture
Designing Big Data Platforms How to Use, Deploy, and Maintain Big Data Systems
In the Approaches
Ultimate Snowflake Architecture for Cloud Data Warehousing: Architect, Manage, Secure, and Optimize Your Data Infrastructure Using Snowflake for Actionable … and Informed Decisions (English Edit
Literary Research and American Postmodernism: Strategies and Sources (Literary Research: Strategies and Sources)
Python for Data Science Master Data Analysis from Scratch, with Business Analytics Tools and Step-by-Step techniques for Beginners. The Future of Machine Learning & Applied Artificial Intelligence
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data Acquisition, … and Statistical Analysis (English
Eastern Approaches
Approaches to Homer
Confident Data Science Discover the Essential Skills of Data Science
Building a Data Culture The Usage and Flow Data Culture Model
Data Science The Hard Parts Techniques for Excelling at Data Science
Building a Data Culture The Usage and Flow Data Culture Model
Harness the Power of Big Data The IBM Big Data Platform
Data Structures Through C Learn the fundamentals of Data Structures through C, 4th Edition