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Exploring and Data Ingesting between Google Data Studio, Google Analytics and Microsoft SQL Server

In this blog post,  will see about Exploring this blog's near Decade experience with Google Analytics and Google Data studio platforms   - Google Analytics - Insights intelligence tool to query and visualize   - Google Analytics - User Explorer  - Google Analytics Dashboard providing default data studio visual insights - Google Data studio - Behaviors and overviews  - From Google Data studio Export csv data and import data in SQL server databases  The above mentioned exploring the views, insights between Google Analytics, Google Data studio and Sql Server to ingest data viz'ed datas !! will be available in this below video with details

SQL Join Query - Building Complex Join Query - Day 5 #100days of SQL

 Hi , In this blog post will check the join queries SQL Join function below diagram shows difference possibilities   Below queries has been executed on the video podcast -- will see about join query from the db table schema diagram -- will check about product and transaction history table on join  query select * from Production.Product  -- 504 records select * from Production.TransactionHistory  -- 113443 records -- inner join select * from Production.Product p inner join Production.TransactionHistory t on p.ProductID = t.ProductID  -- full join or full outer join select * from Production.Product p full outer join Production.TransactionHistory t on p.ProductID = t.ProductID -- right join or right outer join select * from Production.Product p right outer join Production.TransactionHistory t on p.ProductID = t.ProductID -- left join or left outer join select * from Production.Product p left outer join Production.TransactionHistory t on p.ProductID = t.Product...

Connecting SQL Server with Power BI Data Viz !!

Building Complex Sql queries using group by, having, Rank and top functions

 Sql Query with Where clause select ProductSubcategoryID, size, StandardCost, ListPrice, class, style from  Production.Product where ProductSubcategoryID is not null and  size is not null and StandardCost <> 0.00 and  ListPrice <> 0.00 and  class is not null and  style is not null     -- Complex SQL query with where, group by, having clauses and top, rank, dense_rank, row functions select Top 20 ProductSubcategoryID,  Max(StandardCost) as MaximumStdCost,  Max(ListPrice) as MaxListPrice, Max(ListPrice) - Max(StandardCost) as MaxDifferenceStandardFin, Max(ListPrice) / Max(StandardCost) as CostPriceRatio, Rank() over( Order by(Max(ListPrice) / Max(StandardCost)) Desc) as DistinctRankMaximumCostPriceRatio, Row_Number() over( Order by(Max(ListPrice) / Max(StandardCost)) Desc) as RankMaximumCostPriceRatio, DENSE_RANK() over( Order by(Max(ListPrice) / Max(StandardCost)) Desc) as DistinctRankwithNextSequence from  Production.Pro...

Building Complex ER mapping - Database Diagrams in SQL Server

Installing Nodejs using shell scripting in Linux Ubuntu 21

Installing MySQL server in Linux Ubuntu 21 using shell scripting and running basic SQL commands

Hi In this blog post I am sharing about to installing MySQL server in linux ubuntu 21 using shell scripting   In that shell scripting include that install package related dependencies for MySQL server that will address compatabilty with linux related packages like debians.   After that run the shell script command using exexcutable file like chmod +x filename.sh and then execute the shell script file which has the sudo commands in it.   Once completed executing the command, MySQL server will be installed in your linux ubunutu 21 OS.  Check the MySQL version using "mysql -v"   Run the SQL commands using mysql in that linux terminal I have used the below SQL commands   > Use [databasename]  > show [table_name]  > show columns from [table_name]   Watch this below video for more details