Introduction | MongoDB | Tutorial 1

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  • Опубликовано: 21 дек 2017
  • 🦒❤️ www.giraffeacademy.com/databa...

Комментарии • 13

  • @umaganesh8012
    @umaganesh8012 5 лет назад +7

    You are one of the best instructor online. Can you start a series for nodejs please

  • @NaveenKumar-tt6en
    @NaveenKumar-tt6en 5 лет назад +1

    The way you explain is fantastic

  • @animanoir
    @animanoir 6 лет назад +1

    looking forward to this

  • @kenzoreal
    @kenzoreal 4 года назад +1

    Regards from brazil! Your videos are awesome o/

  • @sushantseth3372
    @sushantseth3372 2 года назад +2

    Hey mike! i have been following a lot of your courses which have helped me immensely! since you have already done a course on html, css, js and mdb please launch another playlist for nodejs. It'll be really helpful!

  • @abhijitmohanty734
    @abhijitmohanty734 4 года назад

    I like your way of teaching by giving examples. Please add some exercise in the each of the video to grab more concept about new languages. Thanks a lot of these videos.

  • @MrMaxtermax
    @MrMaxtermax 5 лет назад +1

    awesome videos

  • @imathpro
    @imathpro 4 года назад

    Mike dane love you so much ❤️

  • @machimapla
    @machimapla 6 лет назад +1

    Is Mongo DB free to use for commercial purpose ? ( I mean We are building a product with Mongo as a storage DB and sell it as a product to a client)

  • @tareq6270
    @tareq6270 2 года назад +1

    thank you

  • @manojkiran5519
    @manojkiran5519 4 года назад

    Hey Mike....plz do node.js and react.js......

  • @adeelfarooq7284
    @adeelfarooq7284 5 лет назад

    please make a video an autoincrement in mongodb...on id

  • @richardpaulhall
    @richardpaulhall 4 года назад

    Your desctiption of MongoDB raises questions.
    MongoDB is:
    "really fast": In other words, not useless. What DBMS alternatives are slow? Why are they "slow"?
    "really flexible": What cannot be modeled in an SQL database?
    "cross-platform": In other words, not useless.
    "data does not have to match criteria": Then it either is not data, or the "data" is useless, or the data will have to be filtered and massaged by some other piece of software. Why would I want that? Is the data reliable? Wha ti those other tools "filter and massage" the data in differtent ways?
    "no matching data types": In what way is that useful? If I am storing a floating-point number, and I expect accuracy, integer data will not have the accuracy I require. If my DBMS supports a "Phone Number" type, or I add functionality to support such type, my phone numbers will be valid. If Mongo accepts a random string, what have I gained?