데이터 관리

데이터 관리 강좌와 특화 과정에서는 데이터베이스 관리, 클라우드 컴퓨팅, 데이터 거버넌스 등에 대해 가르칩니다. 기계 학습 적용, 빅 데이터 분석 및 데이터 웨어하우징 등의 기술을 학습하여 IT 경력에 추진력을 더하세요.

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필터링 기준:
6 결과
정렬 기준:
Fintech: Foundations & Applications of Financial Technology

Fintech: Foundations & Applications of Financial Technology

University of Pennsylvania
특화 과정
5점 만점에 4.6점을 받았습니다.
From Data to Insights with Google Cloud Platform

From Data to Insights with Google Cloud Platform

Google Cloud
특화 과정
5점 만점에 4.7점을 받았습니다.
Modern Big Data Analysis with SQL

Modern Big Data Analysis with SQL

Cloudera
특화 과정
5점 만점에 4.8점을 받았습니다.
Information​ ​Systems

Information​ ​Systems

University of Minnesota
특화 과정
5점 만점에 4.7점을 받았습니다.
Machine Learning: Algorithms in the Real World

Machine Learning: Algorithms in the Real World

Alberta Machine Intelligence Institute
특화 과정
5점 만점에 4.6점을 받았습니다.
From Data to Insights with Google Cloud Platform 日本語版

From Data to Insights with Google Cloud Platform 日本語版

Google Cloud
특화 과정
5점 만점에 4.5점을 받았습니다.

    데이터 관리에 대한 자주 묻는 질문

  • Data is a massively valuable asset for businesses today, and data management is the process by which this resource is collected, organized, stored, and accessed. Data management and proper data integration is thus a critical part of IT systems, as it informs operational decision-making and strategic planning at the highest levels of an organization.

    Database administration via database management systems (DBMS) is one of the chief responsibilities for professionals in this field, which must be effectively integrated with data pipelines, data warehouses, and other data infrastructure that collects, cleans, and delivers data at scale. Data managers are also increasingly responsible for data governance, ensuring data privacy and data protection in compliance with corporate policies as well as regulations such as GDPR.