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:
57 결과
정렬 기준:
Databases and SQL for Data Science

Databases and SQL for Data Science

IBM
강좌
5점 만점에 4.7점을 받았습니다. 11977 리뷰
Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point)

Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point)

Universitat Autònoma de Barcelona
강좌
5점 만점에 4.8점을 받았습니다. 2323 리뷰
 Modernizing Data Lakes and Data Warehouses with GCP

Modernizing Data Lakes and Data Warehouses with GCP

Google Cloud
강좌
5점 만점에 4.7점을 받았습니다. 1640 리뷰
Building Containerized Applications on AWS

Building Containerized Applications on AWS

Amazon Web Services
강좌
5점 만점에 4.5점을 받았습니다. 127 리뷰
Building Batch Data Pipelines on GCP

Building Batch Data Pipelines on GCP

Google Cloud
강좌
5점 만점에 4.5점을 받았습니다. 977 리뷰
Introduction to Computers and Office Productivity Software

Introduction to Computers and Office Productivity Software

The Hong Kong University of Science and Technology
강좌
5점 만점에 4.6점을 받았습니다. 116 리뷰
Exploring ​and ​Preparing ​your ​Data with BigQuery

Exploring ​and ​Preparing ​your ​Data with BigQuery

Google Cloud
강좌
5점 만점에 4.7점을 받았습니다. 1971 리뷰
AWS Fundamentals: Migrating to the Cloud

AWS Fundamentals: Migrating to the Cloud

Amazon Web Services
강좌
5점 만점에 4.6점을 받았습니다. 1192 리뷰
Preparing for the Google Cloud Professional Data Engineer Exam

Preparing for the Google Cloud Professional Data Engineer Exam

Google Cloud
강좌
5점 만점에 4.6점을 받았습니다. 674 리뷰
Introduction to Enterprise Computing

Introduction to Enterprise Computing

IBM
강좌
5점 만점에 4.7점을 받았습니다. 483 리뷰
Introduction to MongoDB

Introduction to MongoDB

MongoDB Inc.
강좌
5점 만점에 4.4점을 받았습니다. 463 리뷰
Creating New BigQuery Datasets and Visualizing Insights

Creating New BigQuery Datasets and Visualizing Insights

Google Cloud
강좌
5점 만점에 4.6점을 받았습니다. 1046 리뷰
Information Visualization: Foundations

Information Visualization: Foundations

New York University
강좌
5점 만점에 4.5점을 받았습니다. 130 리뷰
Exploratory Data Analysis for Machine Learning

Exploratory Data Analysis for Machine Learning

IBM
강좌
5점 만점에 4.8점을 받았습니다. 20 리뷰
Getting Started on Mainframe with z/OS Commands and Panels

Getting Started on Mainframe with z/OS Commands and Panels

IBM
강좌
5점 만점에 4.7점을 받았습니다. 244 리뷰
Analysis for Business Systems

Analysis for Business Systems

University of Minnesota
강좌
5점 만점에 4.8점을 받았습니다. 186 리뷰

    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.