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    • Database Management
    Related topics:データベースシステムマネジメントシステムデータベースETLSQLプログラミング言語

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    「database management」の594件の結果

    • Google

      Google

      Google Data Analytics

      習得できるスキル: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Econometrics, Entrepreneurship, Experiment, Extract, Transform, Load, Feature Engineering, Finance, General Statistics, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Storytelling, Strategy and Operations, Theoretical Computer Science

      4.8

      (63k件のレビュー)

      Beginner · Professional Certificate

    • University of Colorado System

      University of Colorado System

      Database Management Essentials

      習得できるスキル: Databases, Data Warehousing, Modeling, Data Management, Statistical Programming

      4.6

      (3k件のレビュー)

      Intermediate · Course

    • University of California, Davis

      University of California, Davis

      SQL for Data Science

      習得できるスキル: SQL, Databases, Statistical Programming, Analysis, Data Management

      4.6

      (12.7k件のレビュー)

      Beginner · Course

    • IBM

      IBM

      Introduction to Data Science

      習得できるスキル: Communication, Computer Programming, Data Analysis, Data Management, Data Mining, Database Administration, Database Application, Databases, General Statistics, Machine Learning, Marketing, Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Statistical Programming

      4.6

      (68.9k件のレビュー)

      Beginner · Specialization

    • Google

      Google

      Google IT Support

      習得できるスキル: Application Development, Backup, Cloud Computing, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Cyberattacks, Data Architecture, Data Management, Database Administration, Database Application, Databases, File System, Hardware Design, Human Computer Interaction, Mathematics, Microarchitecture, Network Architecture, Network Security, Networking Hardware, Operating Systems, Product Lifecycle, Security, Security Engineering, Security Software, Software As A Service, Software Engineering, Software Security, System Security, Systems Design, Theoretical Computer Science, Virtual Reality, Writing

      4.8

      (138.9k件のレビュー)

      Beginner · Professional Certificate

    • IBM

      IBM

      Data Science Fundamentals with Python and SQL

      習得できるスキル: Basic Descriptive Statistics, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Visualization, Database Administration, Database Application, Databases, Extract, Transform, Load, General Statistics, Hypothesis, Machine Learning, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Python Programming, R Programming, SPSS, SQL, Statistical Hypothesis Testing, Statistical Programming, Theoretical Computer Science, Web

      4.5

      (46.3k件のレビュー)

      Beginner · Specialization

    • Placeholder
      IBM

      IBM

      IBM Data Engineering

      習得できるスキル: Apache, Big Data, Cloud Computing, Cloud Engineering, Computational Logic, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Management, Data Warehousing, Database Administration, Database Application, Database Design, Database Theory, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Hardware Design, IBM Cloud, Kubernetes, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Mysql, Network Architecture, Network Security, NoSQL, PostgreSQL, Probability & Statistics, Programming Principles, Project Management, Python Programming, Regression, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (34.7k件のレビュー)

      Beginner · Professional Certificate

    • Placeholder
      IBM

      IBM

      Data Engineering Foundations

      習得できるスキル: Apache, Big Data, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Management, Data Warehousing, Database Administration, Database Application, Database Design, Databases, Distributed Computing Architecture, Extract, Extract, Transform, Load, Mathematical Theory & Analysis, Mathematics, Network Security, PostgreSQL, Project Management, Python Programming, SQL, Security Engineering, Security Strategy, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (34.3k件のレビュー)

      Beginner · Specialization

    • Placeholder
      IBM

      IBM

      IBM Data Analytics with Excel and R

      習得できるスキル: Advertising, Analysis, Apache, Big Data, Business Analysis, Communication, Computational Logic, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Marketing, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Programming Principles, R Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.7

      (9.7k件のレビュー)

      Beginner · Professional Certificate

    • Placeholder
      IBM

      IBM

      Applied Data Science

      習得できるスキル: Algebra, Analysis, Business Analysis, Cloud API, Cloud Computing, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Visualization, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science, Web

      4.6

      (37.9k件のレビュー)

      Beginner · Specialization

    • Placeholder
      IBM

      IBM

      Data Analysis and Visualization Foundations

      習得できるスキル: Analysis, Apache, Big Data, Business Analysis, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Spreadsheet Software, Statistical Analysis, Statistical Visualization, System Programming

      4.7

      (9.5k件のレビュー)

      Beginner · Specialization

    • Placeholder
      IBM

      IBM

      IBM AI Foundations for Business

      習得できるスキル: Applied Machine Learning, Communication, Computer Vision, Data Analysis, Data Management, Data Mining, Database Administration, Databases, Deep Learning, Entrepreneurship, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Marketing, Probability & Statistics, Regression, Strategy and Operations

      4.7

      (63.7k件のレビュー)

      Beginner · Specialization

    database managementに関連する検索

    database management essentials
    database management systems
    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…50

    要約して、database management の人気コース10選をご紹介します。

    • Google Data Analytics: Google
    • Database Management Essentials: University of Colorado System
    • SQL for Data Science: University of California, Davis
    • Introduction to Data Science: IBM
    • Google IT Support: Google
    • Data Science Fundamentals with Python and SQL: IBM
    • IBM Data Engineering: IBM
    • Data Engineering Foundations: IBM
    • IBM Data Analytics with Excel and R: IBM
    • Applied Data Science: IBM

    データベース管理に関するよくある質問

    • 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.‎

    このFAQの内容は、情報提供のみを目的としています。受講生は、自分の個人的、職業的、経済的な目標に合ったコースやその他の資格を取得するために、さらに調べることをお勧めします。
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