डेटाबेस आर्किटेक्ट

कंप्यूटर और गणित

AI एक्सपोजर

डेटा स्रोत: BLSप्रकाशन: 2026-08
बहुत उच्च· सापेक्ष
कमचार सापेक्ष श्रेणियाँबहुत उच्च
व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)
BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
स्रोत डेटासेट (XLSX फ़ाइल डाउनलोड)
डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.579
0.000यहाँ दिए गए मानों की सीमा0.745
मापक्रम, आधार और स्रोत
प्रेक्षित एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
O*NET कार्यों पर मैप किया गया
स्रोत डेटासेट
डेटा स्रोत: ILOप्रकाशन: 2025
0.57
0.09यहाँ दिए गए मानों की सीमा0.70
व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 7% इस मान के बराबर या उससे अधिक हैं।
स्रोत डेटासेट

यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है

BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।

Task-level exposure

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

Task	βE1 + 0.5 × E2
Provide technical support to junior staff or clients. O*NET Task ID 16099	1.0
Set up database clusters, backup, or recovery processes. O*NET Task ID 16100	1.0
Plan and install upgrades of database management system software to enhance database performance. O*NET Task ID 16102	1.0
Identify and correct deviations from database development standards. O*NET Task ID 16104	1.0
Document and communicate database schemas, using accepted notations. O*NET Task ID 16105	1.0
Develop or maintain archived procedures, procedural codes, or queries for applications. O*NET Task ID 16106	1.0
Develop load-balancing processes to eliminate down time for backup processes. O*NET Task ID 16107	1.0
Develop data models for applications, metadata tables, views or related database structures. O*NET Task ID 16108	1.0
Design databases to support business applications, ensuring system scalability, security, performance, and reliability. O*NET Task ID 16109	1.0
Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure. O*NET Task ID 16110	1.0
Demonstrate database technical functionality, such as performance, security and reliability. O*NET Task ID 16111	1.0
Create and enforce database development standards. O*NET Task ID 16112	1.0
Develop and document database architectures. O*NET Task ID 16115	1.0
Develop data model describing data elements and their use, following procedures and using pen, template or computer software. O*NET Task ID 21652	1.0
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs. O*NET Task ID 21653	1.0
Establish and calculate optimum values for database parameters, using manuals and calculator. O*NET Task ID 21654	1.0
Test programs or databases, correct errors, and make necessary modifications. O*NET Task ID 21657	1.0
Write and code logical and physical database descriptions, and specify identifiers of database to management system or direct others in coding descriptions. O*NET Task ID 21660	1.0
Identify, evaluate and recommend hardware or software technologies to achieve desired database performance. O*NET Task ID 16101	0.5
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements. O*NET Task ID 16113	0.5
Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements. O*NET Task ID 16114	0.5
Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management. O*NET Task ID 21655	0.5
Review project requests describing database user needs to estimate time and cost required to accomplish project. O*NET Task ID 21656	0.5
Train users and answer questions. O*NET Task ID 21658	0.5
Work as part of a project team to coordinate database development and determine project scope and limitations. O*NET Task ID 21659	0.5
15 और कार्य दिखाएँ ▾कम दिखाएँ ▴

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

व्यावसायिक जानकारी

ILO

KEIS2025

Shown in the original Korean. This dataset is published under KOGL Type 4, which prohibits derivative works including translation, so the text is reproduced unaltered.

데이터 시스템 전문가KNOW K000001134
Job outlook: 증가(27%) 현상유지(27%) 감소(46%)
Wages (10,000 KRW): lower(25%) 6.375K average(50%) 7.35K upper(25%) 10.0K
minacross 461 KNOW occupationsmax
Job satisfaction: 74.1
minacross 461 KNOW occupationsmax
Details
Duties
- -데이터베이스의 사용자를 등록 관리하고 모니터링을 실시한다.
- -데이터베이스의 자료에 대한 백업 및 복구절차를 마련하고 백업 주기에 따른 데이터의 백업을 실시한다.
- -데이터베이스의 보안 정책을 수립하고, 이에 따른 보안 관리를 준수해 나간다.
- -데이터베이스의 성능을 모니터링하고, 성능 향상을 위한 시스템 튜닝을 실시하여 최대 성능을 유지시켜 나간다.
- -데이터베이스 시스템의 고장 및 사용상의 문제가 발생 되었을 시, 신속히 원인을 파악하여 이를 최단 복구시킨다.
- -데이터베이스 시스템의 기술적, 환경적 변화의 추세에 따른 지속적인 시스템의 업그레이드를 계획하고 이를 추진한다.
See details on KNOW (Korea Employment Information Service) (external site)
Work abilities
전산(99) · 기술 설계(99) · 기술 분석(99) · 범주화(99) · 문제 해결(98)
Knowledge
컴퓨터와 전자공학(89) · 영어(78) · 산수와 수학(78) · 통신(78) · 공학과 기술(72)
Work environment
재택근무(97) · 자동화 정도(96) · 정확성, 정밀성 유지(95) · 실수의 심각성(86) · 앉아서 근무(86)
Related occupations
데이터분석가(빅데이터분석가)
데이터분석가(빅데이터분석가)KNOW K000001080
Job outlook: 증가(33%) 현상유지(7%) 감소(60%)
Wages (10,000 KRW): lower(25%) 5.0K average(50%) 6.1K upper(25%) 10.25K
minacross 461 KNOW occupationsmax
Job satisfaction: 70.4
minacross 461 KNOW occupationsmax
Details
Duties
- -분석 목표에 따라 데이터의 분석 방법을 기획한다.
- -분석할 데이터 자원을 수집한다.
- -대용량의 데이터를 처리하는 플랫폼을 활용하여 처리·분석한다.
- -분석 방법에 따라 마이닝, 네트워크 분석, 복잡계기법 분석, 클러스터 분석 등을 활용한다.
- -프로그램을 사용하여 분석 결과를 시각화한다.
- -데이터와 관련된 새로운 기술, 유행, 트렌드 등을 수시로 파악한다.
See details on KNOW (Korea Employment Information Service) (external site)
Work abilities
추리력(99) · 기술 분석(99) · 전산(99) · 논리적 분석(99) · 수리력(99)
Knowledge
산수와 수학(93) · 컴퓨터와 전자공학(87) · 영어(75) · 공학과 기술(72) · 사무(63)
Work environment
재택근무(98) · 앉아서 근무(91) · 연설, 발표, 회의하기(84) · 이메일 이용하기(82) · 자동화 정도(82)
Related occupations
데이터 시스템 전문가

The KNOW occupations and KECO codes listed here were linked to this page's occupation by this site; this is not a correspondence defined by the Korea Employment Information Service or the Ministry of Employment and Labor.

डेटाबेस आर्किटेक्ट

AI एक्सपोजर

Task-level exposure

व्यावसायिक जानकारी

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