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    • Database

    필터링 기준

    "database"에 대한 994개의 결과

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      University of Colorado System

      Database Management Essentials

      획득할 기술: Databases, Data Warehousing, Database Administration, Modeling, Data Management

      4.6

      (3k개의 검토)

      Intermediate · Course · 1-3 Months

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      Google Cloud

      Google Cloud Database Engineer

      획득할 기술: Amazon Web Services, Big Data, Cloud Computing, Cloud Infrastructure, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Networking, Data Management, Databases, Distributed Computing Architecture, Google App Engine, Google Cloud Platform, Kubernetes, Machine Learning, Operations Management, Software As A Service, Statistical Programming, Strategy and Operations, Web Development

      4.7

      (45.1k개의 검토)

      Intermediate · Specialization · 3-6 Months

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      IBM

      Network Security & Database Vulnerabilities

      획득할 기술: Network Security, Security, Computer Networking, Database Application, Data Management, Data Structures, Software Security, Theoretical Computer Science, Network Architecture, Database Administration, SQL, Databases, Computer Architecture, Security Engineering, Statistical Programming

      4.7

      (2.3k개의 검토)

      Beginner · Course · 1-4 Weeks

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      University of Michigan

      Using Databases with Python

      획득할 기술: Databases, Python Programming, Natural Language Processing, Data Management, Modeling, SQL, Programming Principles, Statistical Programming, Computer Programming

      4.8

      (20.5k개의 검토)

      Mixed · Course · 1-3 Months

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      IBM Skills Network

      Introduction to Software, Programming, and Databases

      획득할 기술: Operating Systems, System Software, Computer Networking, Database Administration, Network Security, Communication, Software, Journalism, Computer Program, Databases, Theoretical Computer Science, Software As A Service, Security Engineering, Process, Cloud Computing, Data Management, Software Architecture, Computer Programming, Language, Database Application, Programming Principles, Software Engineering, Leadership and Management

      4.9

      (52개의 검토)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Introduction to NoSQL Databases

      획득할 기술: Theoretical Computer Science, Database Theory, Databases, Computer Networking, NoSQL, Distributed Computing Architecture, Data Management, Cloud Computing, Computational Thinking, Network Architecture, IBM Cloud, SQL, Computer Programming, Apache, Statistical Programming, Computer Architecture

      4.6

      (94개의 검토)

      Beginner · Course · 1-3 Months

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      Meta

      Databases

      Beginner · Course

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      IBM Skills Network

      Developing Applications with SQL, Databases, and Django

      획득할 기술: Web Design, Database Administration, Other Web Frameworks, Python Programming, Databases, Django (Web Framework), Database Application, Software Engineering, Data Management, Database Design, Computer Programming Tools, Web Development, Computer Programming, Application Development, Statistical Programming, SQL

      4.5

      (64개의 검토)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Intermediate Relational Database and SQL

      획득할 기술: Mysql, Data Management, Statistical Programming, SQL, Relational Database, Databases

      4.4

      (454개의 검토)

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Database Design with SQL Server Management Studio (SSMS)

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

      4.5

      (108개의 검토)

      Beginner · Guided Project · Less Than 2 Hours

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      LearnQuest

      Oracle Database Foundations

      획득할 기술: Database Application, Database Administration, Database Design, Databases, Data Management

      4.7

      (172개의 검토)

      Beginner · Course · 1-3 Months

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      University of Michigan

      Database Architecture, Scale, and NoSQL with Elasticsearch

      획득할 기술: NoSQL, Databases, Architecture, Scaling, Cloud Computing, Cloud Applications, Data Management, Computer Programming, SQL, Statistical Programming, PostgreSQL

      4.2

      (53개의 검토)

      Intermediate · Course · 1-4 Weeks

    database과(와) 관련된 검색

    databases and sql for data science with python
    databases
    database management
    database design
    database architecture, scale, and nosql with elasticsearch
    database management systems
    database and multi-cloud assessment with stratozone
    database management essentials
    1234…83

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

    • Database Management Essentials: University of Colorado System
    • Google Cloud Database Engineer: Google Cloud
    • Network Security & Database Vulnerabilities: IBM
    • Using Databases with Python: University of Michigan
    • Introduction to Software, Programming, and Databases: IBM Skills Network
    • Introduction to NoSQL Databases: IBM Skills Network
    • Databases: Meta
    • Developing Applications with SQL, Databases, and Django: IBM Skills Network
    • Intermediate Relational Database and SQL: Coursera Project Network
    • Database Design with SQL Server Management Studio (SSMS): Coursera Project Network

    데이터베이스에 대한 자주 묻는 질문

    • Databases are organized collections of data stored on, and accessible from, computer systems. In this era of big data, databases are especially important because of the vast amounts of information organizations need to sort and analyze. In the business world in particular, the ability to leverage data effectively to generate actionable insights is a major competitive advantage, making databases a critical resource.

      Once a database design is created, data can be stored in it and managed with the use of a relational database management system (DBMS) such as MySQL, Microsoft Access, or Oracle. For a quick exploration of a database, a data scientist can use a query language like SQL (Structured Query Language) to retrieve the data needed for the analysis, and then use a programming language like Python or R to process it and present the findings through data visualization.

      Long-term decision-making requires the ability to query multiple databases. Business intelligence software like Pentaho or Tableau have the needed extract, transform, load (ETL) capabilities to merge data from many different sources in a data warehousing process that can give executives greater insight into corporate performance over time.‎

    • The ability to work closely with data is increasingly essential for many jobs. Whether you are a sociologist querying databases on policing data for a research project or a chief operations officer trying to harness data analysis for process improvement initiatives, database skills can help you discover important insights.

      Database administrators (DBAs) work particularly closely with databases, and are responsible for ensuring that database management systems are operating efficiently, free from errors, and protected from security breaches. According to the Bureau of Labor Statistics, DBAs make a median salary of $83,750 per year, and their expected job growth is faster that the average for all occupations due to the increasing use of data in all sectors of the economy. And, with small and medium sized businesses increasingly using cloud services, DBAs are needed more and more for third party cloud databases.‎

    • Yes! Coursera offers courses and Specializations on database and data science, including topics in Python, cloud computing, and data warehousing. With these courses, you can learn remotely from top-ranked institutions and organizations including the University of Colorado Boulder, the University of Michigan, IBM, and AWS. The opportunity to complete coursework on a flexible schedule can allow you to add skills to your repertoire whether you are supplementing your current career or preparing for a new one. Coursera Projects also offers Guided Projects on databases and SQL, enabling you to learn with step-by-step tutorials from experienced instructors.‎

    • Having skills and experience in SQL is important before starting to learn database because, even though the language has been around since 1997, SQL is still among the most popular languages in database work, many companies use it including big names like Google and Amazon, and a majority of job positions in database require SQL. Learning other languages is also helpful, including Python, C, and Java. If you don't already have your high school diploma or GED, you should be working toward it as you start learning database, especially if your goal is to be a database administrator. Expect to earn a college degree, preferably in computer science, if you want a future management position in database.‎

    • The kinds of people who are best suited for roles in database include analytical thinkers because analyzing large amounts of data is an integral part of the field. Being skilled at recognizing patterns in unstructured data is another key trait, as well as being flexible and open to change since technology is a rapidly changing field. People who are good at problem-solving and have good organizational skills are also well suited for roles in database. And those who have good communication skills and can explain complex information in clear, understandable ways are likely to be successful in database roles.‎

    • Learning database may be right for you if you enjoy working with numbers, data, statistics, and computers. If you're preparing for a career in information technology or computer science, learning database is most likely right for you. Learning database can prepare you to either create databases, manage databases, troubleshoot problems in databases, or analyze databases for various roles with the database field. If any of these sound interesting to you, learning database is 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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