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    • Database Management

    필터링 기준

    "database management"에 대한 853개의 결과

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      Meta

      Meta Database Engineer

      획득할 기술: Statistical Programming, Computer Programming, SQL, Databases, Python Programming, Programming Principles, Software Engineering, Software Engineering Tools, Data Management, Theoretical Computer Science, Algorithms, Software Testing, Computer Programming Tools, Database Administration, Database Application, Entrepreneurship, Market Research, Research and Design, Data Structures, Database Design, Javascript, Software Architecture, Web Development, Accounting, Application Development, Applied Machine Learning, Business Analysis, Collaboration, Communication, Computational Thinking, Computer Science, Data Analysis, Data Model, Data Warehousing, Database Theory, Django (Web Framework), Exploratory Data Analysis, Financial Analysis, Human Computer Interaction, Journalism, Leadership and Management, Linux, Machine Learning, Mathematics, Operating Systems, Operations Research, Other Programming Languages, Probability & Statistics, Project Management, Strategy and Operations, User Experience

      4.7

      (1.9k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of Colorado System

      Database Management Essentials

      획득할 기술: Communication, Data Management, Data Model, Database Design, Databases, Leadership and Management, SQL, Statistical Programming, Database Administration, Data Structures, Theoretical Computer Science, Data Warehousing

      4.6

      (3.1k개의 검토)

      Intermediate · Course · 1-3 Months

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      IBM Skills Network

      BI Foundations with SQL, ETL and Data Warehousing

      획득할 기술: Data Management, Data Warehousing, SQL, Databases, Extract, Transform, Load, Operating Systems, System Programming, System Software, Database Theory, Data Architecture, Apache, Big Data, Database Application, Statistical Programming, Data Visualization, Data Visualization Software, Data Science, Data Structures, Database Administration, Accounting, Business Analysis, Cloud Computing, Cloud Engineering, Computer Architecture, Computer Programming, Interactive Data Visualization, Linux, Microarchitecture, Programming Principles, Python Programming, Software Architecture, Software Engineering, Theoretical Computer Science

      4.6

      (17.6k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      획득할 기술: Computer Programming, Statistical Programming, Python Programming, Data Management, Theoretical Computer Science, Cloud Computing, Databases, Software Engineering, Computer Programming Tools, Human Computer Interaction, Software Architecture, User Experience, Amazon Web Services, Operating Systems, Linux, Extract, Transform, Load, Data Structures, SQL, Cloud Platforms, Machine Learning, Apache, Application Development, Big Data, Data Analysis, Data Engineering, DevOps, Programming Principles, Software Engineering Tools, Database Administration, Database Application, Applied Machine Learning, Cloud Applications, Cloud Engineering, Machine Learning Algorithms, Systems Design, Data Mining

      4.5

      (157개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Databases for Data Scientists

      획득할 기술: Databases, Data Management, Statistical Programming, SQL, Database Design, Data Model, Theoretical Computer Science, Database Administration, Database Application, Database Theory, PostgreSQL, NoSQL, Marketing, Data Structures, Computer Graphic Techniques, Computer Graphics, Computer Vision, Data Architecture, Leadership and Management, Machine Learning, Software Architecture, Software Engineering, Big Data, Communication, Data Science, Data Warehousing

      4.7

      (403개의 검토)

      Beginner · Specialization · 3-6 Months

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      Google

      Google Data Analytics

      획득할 기술: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Change Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (101.7k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of Colorado System

      Data Warehousing for Business Intelligence

      획득할 기술: SQL, Databases, Data Management, Statistical Programming, Data Model, Database Design, Leadership and Management, Communication, Data Warehousing, Business Analysis, Business Intelligence, Database Administration, Data Science, Extract, Transform, Load, Basic Descriptive Statistics, Big Data, Data Architecture, Data Analysis, Data Structures, PostgreSQL, Theoretical Computer Science, Accounting, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Visualization, Data Visualization Software, Decision Making, Entrepreneurship, Interactive Data Visualization, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Programming Principles, Scientific Visualization, Spreadsheet Software

      4.5

      (3.8k개의 검토)

      Advanced · Specialization · 3-6 Months

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      Google

      Foundations: Data, Data, Everywhere

      획득할 기술: Data Analysis, Data Management, SQL, Business Analysis, Data Visualization, General Statistics, Plot (Graphics), Probability & Statistics, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Databases, Decision Making, Design and Product, Entrepreneurship, Leadership and Management, Product Design, Software Engineering

      4.8

      (73.6k개의 검토)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Data Engineering Foundations

      획득할 기술: Data Structures, Data Management, Databases, SQL, Python Programming, Database Theory, Data Engineering, Data Analysis, Data Model, Database Application, Programming Principles, Extract, Transform, Load, Data Architecture, Database Administration, Algebra, Database Design, PostgreSQL, Statistical Programming, Basic Descriptive Statistics, Exploratory Data Analysis, Apache, Big Data, Data Science, Data Warehousing, Leadership and Management, Network Security, Professional Development, Security Engineering, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Distributed Computing Architecture, Mathematical Theory & Analysis, Mathematics, NoSQL, Project Management, Security Strategy, Strategy and Operations, Theoretical Computer Science

      4.6

      (39.7k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      SQL: A Practical Introduction for Querying Databases

      획득할 기술: Data Management, Databases, SQL, Statistical Programming, Data Analysis

      4.6

      (13개의 검토)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Data Analysis and Visualization Foundations

      획득할 기술: Data Analysis, Data Visualization, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Management, Data Analysis Software, Data Science, Plot (Graphics), Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Data Visualization Software, Statistical Visualization, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Computer Programming, Extract, Transform, Load, Leadership and Management, Operating Systems, Professional Development, System Programming

      4.7

      (14.3k개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of California, Davis

      Geographic Information Systems (GIS)

      획득할 기술: ArcGIS, Statistical Programming, Data Analysis, Data Visualization, Spatial Analysis, Geovisualization, Spatial Data Analysis, Data Management, GIS Software, Data Model, Databases, Entrepreneurship, Leadership and Management, Problem Solving, Research and Design, Data Analysis Software, Data Visualization Software, Data Structures, Geometry, Machine Learning, Mathematics, Theoretical Computer Science, Visualization (Computer Graphics)

      4.8

      (5.9k개의 검토)

      Beginner · Specialization · 3-6 Months

    database management과(와) 관련된 검색

    database management essentials
    hospital management database using sql server
    database structures and management with mysql
    database design with sql server management studio (ssms)
    building basic relational databases in sql server management studio
    1234…72

    요약하자면, 여기에 가장 인기 있는 database management 강좌 10개가 있습니다.

    • Meta Database Engineer: Meta
    • Database Management Essentials: University of Colorado System
    • BI Foundations with SQL, ETL and Data Warehousing: IBM Skills Network
    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • Databases for Data Scientists: University of Colorado Boulder
    • Google Data Analytics: Google
    • Data Warehousing for Business Intelligence: University of Colorado System
    • Foundations: Data, Data, Everywhere: Google
    • Data Engineering Foundations: IBM Skills Network
    • SQL: A Practical Introduction for Querying Databases: IBM Skills Network

    데이터베이스 관리에 대한 자주 묻는 질문

    • Database management is the organization and storage of data so that it can be accessed, maintained, and updated by personnel in an organization. A database management system (DBMS) is the software used to create and administer the database where the data is stored. Database management is important because it enables organizations to use data to fulfill customer needs, support business operations, and provide valuable insights for management.

      A relational database management system (RDBMS) can satisfy the database needs of most organizations. Relational databases allow for multiple tables of information to be “related” or connected to each other in an organized and useful way. These databases are created and queried using structured query language (SQL) and form the backbone of operations for banks, airlines, and retailers alike.

      Database management can also enable business intelligence applications, which can help organizations better understand their business and guide decision-making. These applications may require the creation of large data warehouses and exploratory data analysis made possible with software platforms such as MySQL.‎

    • A database administrator (DBA) manages an organization’s data so that it is accessible to all who need it, as well as keeping it secure from unauthorized access. In addition to database design and cybersecurity, they ensure that the relationships between data remain relevant and that the databases operate efficiently and without errors. As an organization grows, DBAs are also responsible for merging databases, managing the incorporation of new data, and maintaining backups to prevent data loss.

      According to the Bureau of Labor Statistics, DBAs have a median salary of $93,750 per year. Job growth in this field is expected to be faster than average for all occupations due to the increasing amount of data that needs to be managed, as well as the growth of cloud-based database management systems.‎

    • Yes! Coursera offers a wide range of online courses and Specializations in data science including database management and associated topics like SQL, data warehousing, and cybersecurity. With courses presented by top-ranked institutions and organizations like University of California Davis, the University of Colorado, and IBM, you won’t have to sacrifice the quality of your education for the opportunity to learn online.

      Coursera also enables you to take courses that award professional certificates, including IBM Data Science, IBM Cybersecurity Analyst, and Cloud Engineering with Google Cloud. And, with Coursera’s new Guided Projects platform, you can build relational database and SQL skills by completing hands-on tutorials presented by expert instructors.‎

    • It's important to develop strong critical thinking, communication, troubleshooting, and analytical skills before starting to learn database management since these are critical skills to have in order to succeed in the field. Creative problem-solving and organizational skills are also important. Experience working within a multidisciplinary team is good preparation for learning database management. Working towards a bachelor's degree in computer science or closely related skills is also essential. It's also important to be familiar with SQL and have experience using Excel spreadsheets.‎

    • People who are well organized, proactive, and good at multitasking are typically well suited for roles in database management. Managing databases requires being responsible for organizing large amounts of data, which are continuously changing. Taking a proactive approach to responsibilities instead of a reactive approach helps tremendously in these roles to minimize problems that can occur in this field. People who are skilled at effectively managing and using information, seeing patterns in data, and creating short- and long-term plans to complete a project may also be well suited for roles in database management.‎

    • If you have a keen interest in technology and software and would like to work in the finance, marketing, or information technology fields, learning database management may be right for you. Those looking for a career field that is likely to continue experiencing job growth well into the future may also find that learning database management is a good move for them. If you enjoy following routines and set procedures, working with data and details more than with ideas, and starting up and carrying out projects, learning database management might be right for you.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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