Databases and Metadata for Beginners | Google Data Analytics Certificate

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  • čas přidán 22. 07. 2024
  • Databases make it possible to find the exact piece of information you need for your analysis. Learn how to sort data in order to zoom in on what you need, to generate insightful reports, and use metadata effectively.
    0:00 Accessing Databases
    0:27 Database Features
    4:40 Exploring Metadata
    8:33 Using Metadata Like an Analyst
    12:22 Metadata Management
    15:52 Working with Various Data Sources
    19:02 Importing Data
    22:56 Using Filters and Sorts
    28:07 Large Dataset Challenges
    This video is part of the Google Data Analytics Certificate which teaches learners how to prepare, process, analyze, share, and act on data.
    The program, created by Google employees in the field, is designed to provide you with job-ready skills in about 6 months to start or advance your career in data analytics.
    Take the Certificate HERE: goo.gle/3YZJx1Z
    Subscribe HERE: bit.ly/SubscribeGCC
    #GrowWithGoogle #GoogleCareerCertificate #DataAnalytics
    Why earn a Google Career Certificate?
    ► No experience necessary: Learn job-ready skills, with no college degree required.
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Komentáře • 12

  • @inhlam5909
    @inhlam5909 Před 2 lety +5

    0:00 Accessing Databases
    0:27 Database Features: Normalized database, Redundancy, Schemas
    4:40 Exploring Metadata: Database management. 3 common types of metadata:
    * Descriptive: describes a piece of data (book: ispn, ..)
    * Structural: a piece of data is organized (book: chapter)
    * Administrative: indicates the technical source of a digital asset
    8:33 Using Metadata Like an Analyst
    * Metadata: clean, accurate (precise), relevant and timely
    * Metadata repository, Metadata Repositories
    12:22 Metadata Management
    * First: the location of the system, and the data sets are located within those systems
    * Second: metadata is connected between in those systems
    * Governance: security, privacy, integrity, and usability, internal and external flows
    15:52 Working with Various Data Sources: Internal and External data
    19:02 Importing Data: csv format, ..
    22:56 Using Filters and Sorts: Sorting and Filtering data
    28:07 Large Dataset Challenges: use database
    Data sources link:
    * data.gov/metrics.html
    * www.who.int/data/gho

  • @abiodunokunrinboye4338
    @abiodunokunrinboye4338 Před 3 lety +3

    I just love how you explain the concepts in a simple way

  • @RagazzaInk
    @RagazzaInk Před 12 dny

    Excellent!! this video helps a lot for my metadata class

  • @emmanuelmorris812
    @emmanuelmorris812 Před 2 lety

    You explain very clearly.

  • @Dubaibizsupport
    @Dubaibizsupport Před 3 lety

    Great Course.Thank you

  • @lajuklengtu
    @lajuklengtu Před 3 lety

    Thank you !!! you guys are awesome !!

  • @peterpiper5300
    @peterpiper5300 Před 2 lety

    what Google product is similar to ms access?

  • @aditeepathak8894
    @aditeepathak8894 Před 2 lety +6

    Isn't there a mistake in the example of foreign key? Timestamp 2.33! BranchID is a foreign key in product details table right?

    • @robinpuerta
      @robinpuerta Před 2 lety +1

      Yeah it looks like. Great attention for details. Did you finish the whole certificate? Im just starting..

    • @aditeepathak8894
      @aditeepathak8894 Před 2 lety +2

      @@robinpuerta I am yet to start the course .. at the moment learning on youtube! All the best to you!

    • @rrosomasa
      @rrosomasa Před 2 lety +3

      i'm glad someone else also caught this, wasn't sure if i misheard something

  • @aliasyuhada8350
    @aliasyuhada8350 Před 3 měsíci

    From this video, can you guys give me summaries????