3. Microsoft Fabric | Data Analysis with Apache Spark | PySpark | Partitioning Data on Month

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  • เผยแพร่เมื่อ 19 ธ.ค. 2024

ความคิดเห็น • 4

  • @SakthiVel-ye3mo
    @SakthiVel-ye3mo 2 หลายเดือนก่อน

    Excellent bro.

    • @analyticalguy
      @analyticalguy  2 หลายเดือนก่อน +1

      Thank you so much 🙏

  • @LeanderSatya
    @LeanderSatya 2 หลายเดือนก่อน

    Hello, I am new to Data analytics and confused about what to use..For example: for data cleaning: do you use SQL, power query or python? For analysis: python, SQL, R programming.. For visualizations: Power BI or R programming..
    There are a lot of tools so it's difficult to focus on one programming language/tool for cleaning, one programming language/tool for analysis, one programming language/tool for visualization..
    I would like guidance on choosing a clear path. Thank you.

    • @analyticalguy
      @analyticalguy  หลายเดือนก่อน +2

      @@LeanderSatya hi Satya, you have a valid concern.
      There is no one size fit all. But if you’re a beginner I would suggest to start with Power Query for data cleaning, Power BI for visualisation and then go for SQL for further enhancing your capability. Once you’re comfortable with this, then Learn python for data cleaning, visualisation etc
      I hope this helps.