SAURABH SKILLS BLOG

 SQL

SKILL : SQL


SQL Links:


Complete Sql Roadmap 2023 : SQLROADMAPLINK



SQL BASE : 
  1. Intro to SQL
  2. Integrity Constraints
  3. Functions
  4. Where Clause
  5. Joins 
  6. Case-When Statement
  7. Group by
  8. Order by
  9. Sub Queries
  10. Union, Union All
  11. Views
  12. Common Table Expression
  13. Windows Functions
  14. Pivot Table
  15. Bonus Topics


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---------------------------- # Morning : 8- 9am and Evening : 9-10pm # ---------------------------

Ankit Bansal Playlist : Youtube

Video 4 : SQL Top 10 Interview Questions 
Question 1 : How to Find duplicate in given table ?

Question 2 : How to delete duplicates ?

Question 3 : Difference between Union and Union All ?

Question 4 : Difference between  RANK,DENSE_RANK,ROW_NUMBER


Numbering Functions Rank Dense Rank Row Number

-- RANK() => is Skipped (Skips Numbers)
-- DENSE_Rank is not Skipped (Not Skips Numbers)
 -- ROW_NUMBER=> (Running Number)

Query=> 
select emp_id, emp_name, department_id,salary,
RANK() over (order by salary desc) as rnk,
DENSE_RANK() over (order by salary desc) as dense_rnk,
ROW_NUMBER() over (order by salary desc) as rn  
from emp


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Python Language for Data Engineer

 Python till date :

Python Base from where I got knowledge

  1. Python Basic : Amol Bhavsar Sir
  2. Celebal training
  3. Course: Data with darshil i.e python for de
  4. Python FBS : nilesh sir
  5. Celebal Bootcamp
____________________________________________________________________________________
Python Notes Plannings:
 Python For Data Engineering => Preparing Python Structured Notes 
(Plannings=> 
  •  Bootcamp Notes (Rishab pandey ) [Class Dates: 3,4,5,6 September] 
  •  Darshil Parmar Python Course for Data engineer
  •  Celebal Python COE Course Notes by Naval Yemul
  •  Fuel Python Course by Nilesh Somkule
  •  Mix and make structured Blog for Python Data Engineering [1,2,3,4]
  •  Post on Linked In  
)
Estimate Data to Complete this Course and Notes by => 7 September 2024 , Sunday .
Steps to Complete This Python Notes:
PLATFORM => Databricks
  1. Python Fuel Notes
  2. Python From Darshil Parmar
  3. Python From Bootcamp
  4. Python From Amol Bhavsar Notes



# Technical Skills


Tech Skills:

  • python
  • sql  : Daily 2 hours (morning: 7:45 - 9:00=> Update Knowledge) (Evening:9:00-10:00 => Basic and Revison)
  • AI
  • DE
New Skill to Learn :
  • GitHub
  • Power BI
Celebal :
  • Pyspark
  • Databricks



SQL:
 Morning [1 Hour]: Update Knowledge,Practice
Complete Sql Roadmap : SQLROADMAPLINK

SQl Till Date :

Base from where I got knowledge :

  1. Sql basic : Amol Bhavsar sir
  2. Celebal training: naval yemul



Evening [ 1 Hour] : Revise and Basics 
  •  w3 School=> Refer
  • Notes : Make your own in SQL Learning All About SQL

   



Links:

Sql Imp ques video

Sql 5 free resources (best >3,5)


SQL W3 Schools :---->>> Link  


PySpark: 

 Best Playlist 1:50 hour

Pyspark  📒 : Pyspark


DataBricks



1: Start New >> Try Databricks free  : Link


2: Data Bricks Login : Link

3: Best Youtube Playlist  : Youtube_playlist
(simple+ hindi+ laymans language) 
    
     Azure databricks intro :Playlist  


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