What does Code mean?
Code means Committee on Data Engineering
This acronym/slang usually belongs to Undefined category.
What is the abbreviation for Committee on Data Engineering?
Committee on Data Engineering can be abbreviated as Code
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Most popular questions people look for before coming to this page
Q: A: |
What does Code stand for? Code stands for "Committee on Data Engineering". |
Q: A: |
How to abbreviate "Committee on Data Engineering"? "Committee on Data Engineering" can be abbreviated as Code. |
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What is the meaning of Code abbreviation? The meaning of Code abbreviation is "Committee on Data Engineering". |
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What is Code abbreviation? One of the definitions of Code is "Committee on Data Engineering". |
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What does Code mean? Code as abbreviation means "Committee on Data Engineering". |
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What is shorthand of Committee on Data Engineering? The most common shorthand of "Committee on Data Engineering" is Code. |
Abbreviations or Slang with similar meaning
- CODATA - Committee On Data for Science & Technology
- CODMAC - Committee On Data Management, Archiving, and Computation
- COSEPP - Committee On Science, Engineering and Public Policy
- COSEPUP - Committee on Science, Engineering & Public Policy
- TCDE - Technical Committee on Data Engineering
- CDIDC - Committee on Data Interchange and Data Centers
- CDMAC - Committee on Data Management Archiving and Computation
- Cee - Committee on Environmental Engineering
- CDSL - Committee on Data Systems Languages
- CDST - Committee on Data for Science and Technology
- CSET - Committee on Science Engineering and Technology
- CODMAC - Committee on Data Management, Archiving and Computing
- CODMAC - Committee on Data Management and Computation
- CODMAC - Committee on Data Management and Computing
- COGENE - Committee on Genetic Engineering
- COPEP - Committee on Public Engineering Policy
- code - Conference on Data Engineering
- CODATA - Committee on Data for Science and Technology (ICSU)
- CODASYL - Committee on Data Systems Languages
- RIDE - International Workshop on Research Issues on Data Engineering