International Journal of Science and Research (IJSR)
Data & Knowledge Engineering
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Data & Knowledge Engineering, India, Volume 8 Issue 1, January 2019
Pages: 2258 - 2261Designing Data Schema and Formats for Efficient Storage and Processing within Hadoop
Fasihuddin Mirza
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Data & Knowledge Engineering, India, Volume 8 Issue 1, January 2019
Pages: 2267 - 2270Optimizing Data Loading in HDFS: Optimization Techniques for Loading Data into Hadoop Distributed File System (HDFS) Efficiently, Considering Factors such as Data Locality and Parallelism
Sree Sandhya Kona
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Data & Knowledge Engineering, India, Volume 7 Issue 2, February 2018
Pages: 1670 - 1673Common Reporting Platform for General Ledger Actuals, Anaplan Budget Data and Hyperion Financial Management System
Thejas Prasad
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Data & Knowledge Engineering, India, Volume 10 Issue 12, December 2021
Pages: 1528 - 1531Impact of FHIR Data Format in Healthcare Interoperability
Girish Ganachari
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Data & Knowledge Engineering, India, Volume 12 Issue 5, May 2023
Pages: 2692 - 2703Handbook for Developers and Consultants on SAP Build - Part 2
Deepak Kumar
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Data & Knowledge Engineering, India, Volume 10 Issue 9, September 2021
Pages: 815 - 821Decentralized Computational Structure for the Selection of Dispersed and Non - Structured Data Proposal
Shonal Rath | Hardik Agrawal
Downloads: 10 | Views: 894
Data & Knowledge Engineering, United States, Volume 11 Issue 8, August 2022
Pages: 362 - 367Agile Research - Getting beyond the Buzzword
Trupti Narayan Rane
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Data & Knowledge Engineering, United Arab Emirates, Volume 11 Issue 12, December 2022
Pages: 362 - 366Airport Data Interpretation using Python Programming
Nasvi Kareem
Downloads: 10 | Views: 853
Data & Knowledge Engineering, India, Volume 13 Issue 1, January 2024
Pages: 359 - 363Predictive Analysis of Social Unrest in India: A Machine Learning Perspective on 2016-2023 Data Trends
Supekar Unmesh Mahesh
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Data & Knowledge Engineering, India, Volume 10 Issue 10, October 2021
Pages: 1600 - 1602Semantic Harmony: A Framework for Resolving Semantic Heterogeneity Among Data Sources
Sneha Dingre