데이터 엔지니어링의 세계는 빠르게 변화하고 있습니다. IoT, AI, 클라우드와 같은 기술은 데이터 파이프라인을 변화시키고 기존의 데이터 관리 방식을 뒤엎고 있습니다.
데이터베이스와 데이터 웨어하우스가 클라우드로 이동하고 있고 새로운 도구와 데이터 파이프라인이 ETL 코드를 수동으로 작성하고 데이터를 정리하는 것과 같은 기존의 데이터 엔지니어링 작업을 대체하고 있습니다. 결과적으로 기업은 엔지니어에게 데이터 전략 및 파이프라인 최적화에 대한 지침을 제공하도록 요청하고 있습니다.
다음을 위해 당사의 전자책, 데이터 엔지니어링을 위한 모범 사례를 다운로드하십시오.
지금 다운로드
데이터에서 최대한의 통찰력을 끌어내고 있습니까? 원유와 마찬가지로 데이터는 처리되고 비즈니스를 추진하는 데 사용될 때 훨씬 더 가치가 있습니다. 기존의 데이터 웨어하우스는 오늘날 기업이 생성하는 데이터의 양, 복잡성 및 다양성을 처리할 수 없으며 실시간으로 해당 데이터에 액세스하고 분석해야 하는 여러 부서의 요구를 동시에 충족할 수 없습니다.
이 전자책에서는 다음을 포함해 데이터 클라우드로 귀하의 데이터 웨어하우스를 최신화해야 하는 다섯 가지 강력한 이유를 간략하게 설명합니다.
지금 다운로드
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For years, most organizations viewed a physical office as the best place to work. However, the COVID-19 pandemic forced businesses to reimagine how their employees worked, resulting in an increase in remote work and untraditional hours.
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