Kartheek Kola’s Post

Job Description : Job Title : New Data Warehouse/BI Developer - IN PERSON IVS ONLY! Primary Skills : Oracle and SQL Server databases,Microsoft Power BI Nice to have 2 Years   Location – Richmond, VA 23233 Complete Description: A major part of this project will be to convert data from DPOR's existing systems to its new system. I don't believe that we will need someone with specific ETL tool experience. Rather I believe that we will need someone with the following skills:   REQUIRED: Able to analyze existing systems including screens and available documentation (e.g., data models or data dictionaries) to understand how the underlying data is organized, interrelated and stored in various databases as well as identify where there may be data anomalies / inconsistencies. Able to interact with and ask pertinent questions of system users to understand the organization and relationship of data in the systems and map data from source systems to target templates/systems. Able to create clear, concise, and complete documentation (e.g., data models, data dictionaries) regarding the organization and use of data in existing systems. Able to accurately map data from source systems to target templates/systems and resolve issues stemming from the mapping efforts. Strong working knowledge in Oracle (predominantly) and SQL Server creating complex queries, views, functions and stored procedures that leverages knowledge gained from analyzing systems and underlying data organization to extract / transform data into a vendor defined (TBD) format Experience developing and testing data extraction and transformation routines (not a primary skill, but a strong secondary skill that would be used when the above skills are not being used) - Able to perform data analysis and put together meaningful reports / dashboards using an agencies existing data  (preference though not required) - Strong working experience with Microsoft Power BI   Require/Desire Skills Able to write complex SQL (joins, functions, stored procedures) to extract data and transform data from both Oracle and SQL Server databases            Required             5            Years Able to analyze existing systems to understand how underlying data is stored and inter-related    Required             5               Years Able to create, clear, concise and complete documentation related to the organization and use of data in existing systems Required             3            Years Able to accurately map data from source systems to target templates/systems and resolve issues stemming from the mapping efforts Required             5            Years Experience developing and testing data extraction and transformation routines   Required             5            Years Strong working experience with Microsoft Power BI         Nice to have      2            Years Able to perform data analysis and put together meaningful reports / dashboards using an agencies existing data  Nice to have 2            Years

Job Description : Job Title : New Data Warehouse/BI Developer - IN PERSON IVS ONLY! Primary Skills : Oracle and SQL Server databases,Microsoft Power BI Nice to have 2 Years   Location – Richmond, VA 23233 Complete Description: A major part of this project will be to convert data from DPOR's existing systems to its new system. I don't believe that we will need someone with specific ETL tool experience. Rather I believe that we will need someone with the following skills:   REQUIRED: Able to analyze existing systems including screens and available documentation (e.g., data models or data dictionaries) to understand how the underlying data is organized, interrelated and stored in various databases as well as identify where there may be data anomalies / inconsistencies. Able to interact with and ask pertinent questions of system users to understand the organization and relationship of data in the systems and map data from source systems to target templates/systems. Able to create clear, concise, and complete documentation (e.g., data models, data dictionaries) regarding the organization and use of data in existing systems. Able to accurately map data from source systems to target templates/systems and resolve issues stemming from the mapping efforts. Strong working knowledge in Oracle (predominantly) and SQL Server creating complex queries, views, functions and stored procedures that leverages knowledge gained from analyzing systems and underlying data organization to extract / transform data into a vendor defined (TBD) format Experience developing and testing data extraction and transformation routines (not a primary skill, but a strong secondary skill that would be used when the above skills are not being used) - Able to perform data analysis and put together meaningful reports / dashboards using an agencies existing data  (preference though not required) - Strong working experience with Microsoft Power BI   Require/Desire Skills Able to write complex SQL (joins, functions, stored procedures) to extract data and transform data from both Oracle and SQL Server databases            Required             5            Years Able to analyze existing systems to understand how underlying data is stored and inter-related    Required             5               Years Able to create, clear, concise and complete documentation related to the organization and use of data in existing systems Required             3            Years Able to accurately map data from source systems to target templates/systems and resolve issues stemming from the mapping efforts Required             5            Years Experience developing and testing data extraction and transformation routines   Required             5            Years Strong working experience with Microsoft Power BI         Nice to have      2            Years Able to perform data analysis and put together meaningful reports / dashboards using an agencies existing data  Nice to have 2            Years

Date: 23-02-2024 Company name: #Oracle Role: Data Analyst Topic: outlier, dax, filter, recursive stored procedure 1. What are the ways to detect outliers? Outliers are detected using two methods: Box Plot Method: According to this method, the value is considered an outlier if it exceeds or falls below 1.5*IQR (interquartile range), that is, if it lies above the top quartile (Q3) or below the bottom quartile (Q1). Standard Deviation Method: According to this method, an outlier is defined as a value that is greater or lower than the mean ± (3*standard deviation). 2. What is a Recursive Stored Procedure? A stored procedure that calls itself until a boundary condition is reached, is called a recursive stored procedure. This recursive function helps the programmers to deploy the same set of code several times as and when required. 3. What is the shortcut to add a filter to a table in EXCEL? The filter mechanism is used when you want to display only specific data from the entire dataset. By doing so, there is no change being made to the data. The shortcut to add a filter to a table is Ctrl+Shift+L. 4. What is DAX in Power BI? DAX stands for Data Analysis Expressions. It's a collection of functions, operators, and constants used in formulas to calculate and return values. In other words, it helps you create new info from data you already have. Make Your Career In Data Analytics Domain with our Industry-Oriented Hands-on Course @ Most Affordable Price Follow Ajay Yadav for more updates #dataanalytics #cloudydata #dataanalysis #interviewquestions

CTEs are the most common advanced SQL expressions    Their widespread adoption comes as no surprise    Have you ever had to read a long block of SQL code filled with a bunch of subqueries?    When subqueries are used in a complex data model, it can make life miserable for the analyst/data engineer and other readers    Like they say code is read more often than it is written    There are many reasons why CTEs are preferred to a subqueries   Given the following scenario, help me decide which approach is better:    Suppose we have a database with two tables: Employees and Departments. We want to retrieve a list of employees who belong to the "Sales" department and have a salary over $50,000.    CTE  ----- WITH SalesEmployees AS (     SELECT EmployeeID, FirstName, LastName, DepartmentID, Salary     FROM Employees     WHERE DepartmentID = (SELECT DepartmentID FROM Departments WHERE DepartmentName = 'Sales')         AND Salary > 50000  )  SELECT * FROM SalesEmployees;    Subquery ----------  SELECT EmployeeID, FirstName, LastName, DepartmentID, Salary  FROM Employees  WHERE DepartmentID = (SELECT DepartmentID FROM Departments WHERE DepartmentName = 'Sales') AND Salary > 50000;    I don’t know about you but I found it easier to read the CTE code block compared to the subquery    Reusability is another advantage of going with CTEs over subqueries    I could reference the SalesEmployees somewhere else in my query as such:    WITH SalesEmployees AS (     SELECT EmployeeID, FirstName, LastName, DepartmentID, Salary     FROM Employees     WHERE DepartmentID = (SELECT DepartmentID FROM Departments WHERE DepartmentName = 'Sales')         AND Salary > 50000  ),  AverageSalesSalary AS (     SELECT AVG(Salary) AS AvgSalary     FROM SalesEmployees  )  SELECT * FROM SalesEmployees;  SELECT * FROM AverageSalesSalary;    Modularity is another critical reason why CTEs are preferred    If I need to make changes to my code/logic, all I need to do is modify only the section that needs refactoring as opposed to navigating through complex subqueries    That is the end of my SQL Ted Talk 😊    What would you add or subtract?    #dataanalytics #analyticsengineering #dataengineering #dataachievers 

#SolvingSQLWithPradeepDay4 𝗤 𝟭𝟳 - 𝗛𝗼𝘄 𝘁𝗼 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗦𝗤𝗟𝘀 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗧𝗮𝗯𝗹𝗲𝘀 𝗜𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲? You can practice SQL without creating physical tables in your database by using Common Table Expressions (CTEs) or temporary tables. CTEs are temporary result sets that you can define within your SQL query, and they exist only for the duration of that query. 𝗛𝗲𝗿𝗲'𝘀 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗦𝗤𝗟 𝘂𝘀𝗶𝗻𝗴 𝗖𝗧𝗘𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝘁𝗮𝗯𝗹𝗲𝘀: 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝘁𝗵𝗲 𝗗𝗮𝘁𝗮 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀: Determine what kind of data you need for your SQL practice. Think about the structure and content of the tables you would normally use. 𝗖𝗿𝗲𝗮𝘁𝗲 𝗖𝗧𝗘𝘀: Instead of creating physical tables, create CTEs to simulate the data you need. CTEs are defined within your SQL query and can include data from multiple sources or even generate data on the fly. 𝗛𝗲𝗿𝗲'𝘀 𝗮𝗻 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 𝗼𝗳 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗖𝗧𝗘𝘀 𝘁𝗼 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗲 𝘁𝘄𝗼 𝘁𝗮𝗯𝗹𝗲𝘀 - 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝗮𝗻𝗱 𝗗𝗲𝗽𝗮𝗿𝘁𝗺𝗲𝗻𝘁𝘀: WITH Employees AS ( SELECT 1 AS EmployeeID, 'Rajesh' AS FirstName, 'Kumar' AS LastName, 'Sales' AS Department UNION ALL SELECT 2, 'Priya', 'Patel', 'HR' UNION ALL SELECT 3, 'Amit', 'Sharma', 'IT' ), Departments AS ( SELECT 'Sales' AS DepartmentName, 'Mumbai' AS Location UNION ALL SELECT 'HR', 'Delhi' UNION ALL SELECT 'IT', 'Bangalore' ) SELECT * FROM Employees; SELECT * FROM Departments; 𝗪𝗿𝗶𝘁𝗲 𝗤𝘂𝗲𝗿𝗶𝗲𝘀: Now that you have your CTEs in place, you can write SQL queries just as you would with physical tables. You can join, filter, and manipulate the data within these CTEs. 𝗛𝗲𝗿𝗲'𝘀 𝗮𝗻 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 𝗾𝘂𝗲𝗿𝘆 𝘁𝗵𝗮𝘁 𝗷𝗼𝗶𝗻𝘀 𝘁𝗵𝗲 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝗮𝗻𝗱 𝗗𝗲𝗽𝗮𝗿𝘁𝗺𝗲𝗻𝘁𝘀 𝗖𝗧𝗘𝘀: SELECT e.FirstName, e.LastName, d.Location FROM Employees e JOIN Departments d ON e.Department = d.DepartmentName; 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗮𝗻𝗱 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁: You can run these queries in your SQL environment to practice and experiment with SQL without affecting your actual database tables. 𝗗𝗶𝘀𝗽𝗼𝘀𝗲 𝗼𝗳 𝗖𝗧𝗘𝘀: Keep in mind that CTEs are temporary and exist only for the duration of the query execution. Once you close the query, the CTEs are gone. You don't need to worry about cleaning up or dropping these temporary structures. Using CTEs in this way allows you to practice SQL without the need to create and manage physical tables. It's a useful technique for learning, testing queries, and developing SQL skills. Video Link for Understanding Better - https://lnkd.in/gwFRWtDB #data #sql #datascience #dataanalytics --------- Credits to Ankit Bansal for the videos. Follow Pradeepchandra to complete this series #SolvingSQLWithPradeep

🚀 Available Immediately for ETL, SQL, Data Warehousing, Data Migration, and ERP Data Migration Roles! 🚀 Are you in need of a skilled professional to drive your data projects to success? Look no further! I am an experienced data specialist available immediately for contract or full-time opportunities. What I Bring to the Table: ✅ Expertise in ETL Processes: Mastery of ETL tools and techniques to ensure seamless data extraction, transformation, and loading. ✅ Proficiency in SQL: Advanced SQL skills for efficient querying, data manipulation, and database management. ✅ Data Warehousing: Extensive experience in designing, building, and maintaining robust data warehousing solutions. ✅ Data Migration: Proven track record in executing complex data migration projects with precision. ✅ ERP Data Migration: Specialization in migrating ERP systems, ensuring data integrity and minimal downtime. ✅BI Reporting: Specialization in creating BI/MI Reports & Dashboards, ensuring data visualisation meets clients standards. Why Choose Me? Immediate Availability: Ready to start right away and hit the ground running. Versatility: Capable of adapting to various roles and project requirements. Problem-Solving Skills: Strong analytical abilities to troubleshoot and resolve data-related issues. Proven Experience: A solid history of successful projects. Contact me to discuss how I can contribute to your team's success! #DataSpecialist #ETL #SQL #DataWarehousing #DataMigration #ERPMigration #BI #Reporting #ImmediateHire #AvailableNow

Data Analyst #interview questions asked by #Oracle Topic: outlier, dax, filter, recursive stored procedure 1. What are the ways to detect outliers? Outliers are detected using two methods: Box Plot Method: According to this method, the value is considered an outlier if it exceeds or falls below 1.5*IQR (interquartile range), that is, if it lies above the top quartile (Q3) or below the bottom quartile (Q1). Standard Deviation Method: According to this method, an outlier is defined as a value that is greater or lower than the mean ± (3*standard deviation). 2. What is a Recursive Stored Procedure? A stored procedure that calls itself until a boundary condition is reached, is called a recursive stored procedure. This recursive function helps the programmers to deploy the same set of code several times as and when required. 3. What is the shortcut to add a filter to a table in EXCEL? The filter mechanism is used when you want to display only specific data from the entire dataset. By doing so, there is no change being made to the data. The shortcut to add a filter to a table is Ctrl+Shift+L. 4. What is DAX in Power BI? DAX stands for Data Analysis Expressions. It's a collection of functions, operators, and constants used in formulas to calculate and return values. In other words, it helps you create new info from data you already have.

8 Things you can do in Excel’s Power Query Credits to Josh Aharonoff, CPA, follow him for more content. The original post ---- 8 Things you can do in Excel’s Power Query 👀 Stick around till the end to get the high res PDF + excel worksheet 👇 Power Query is easily the most powerful feature in Excel… and I’m amazed by how many people have never dabbled with it. Let’s change that in todays post… ➡️ What is Power Query? Power Query is an ETL tool, which stands for: E→ EXTRACT data from multiple sources (a table, external workbook, the web etc.)… T→ TRANSFORM that data… this is the heart and soul of power query - it’s like writing a macro that will add a bunch of transformation steps to your data and then.. L→ LOAD that data back to wherever you want ➡️ How do you access Power Query? Extract information → Data > Get & Transform Data Access queries → Data > Queries & Connections Now let’s dive into 8 amazing things you can do in Power Query 1️⃣ Unpivot dates This is my favorite. As humans, we find it easiest to digest data when we have our dates going like this ↔️ and our account names going like this ↕️ (think of a P&L) But this is actually a really challenging way to run flexible & dynamic calculations… instead, we want to UNPIVOT dates, so that every value for every account for every date shows as a new row in a table… and all dates are shown in one column 2️⃣ Load data from multiple sources Here you can not only load data from an external excel file… but even better, you can load multiple excel files all sitting in one folder 3️⃣ Remove Duplicates There are many ways to remove duplicates in excel… why not write the code for it once, and utilize the benefits by just hitting refresh? 4️⃣ Filter and sort data Similar to removing duplicates above, with PQ you can easily filter & sort data in the PQ editor, having it appear in the format you want when you hit refresh 5️⃣ Insert or delete columns You can literally add any custom columns to transform your data… or get rid of columns that are no longer needed. This will keep your source table in tact…while your transformed table will appear exactly as you want. 6️⃣ Merge and append queries Merging queries is the equivalent of using a lookup function… it literally “merges” 2 tables together based off of a common field. Appending tables allows you to stack 2 or more tables on top of one another 7️⃣ Calculate custom columns Added a new column? Don’t stop there, now it’s time to add a custom calc. This is just like what you can do in excel with a custom formula 8️⃣ Refresh data Done with all your edits in the PQ editor? Now it’s time to hit refresh and watch your data transform. Each time your source data changes, just hit refresh, and your transformed data will appear. ---- Follow our page Excel for CFOs to learn more about Excel in Finance & Accounting.s

𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗦𝗤𝗟 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀 We often use subqueries in SQL wherever required, but do you know these subqueries are categorized in below types. 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 SELECT column1, column2 FROM table1 WHERE column1 OPERATOR (SELECT column1 FROM table2 [WHERE]) 💎𝗦𝗶𝗻𝗴𝗹𝗲 𝗥𝗼𝘄 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝘆 It returns single row result used with operators like =, > ,< ,>= ,=< Single row subqueries can select data from the same table or from another table. SELECT NAME FROM EMPLOYEE WHERE SALARY > (SELECT AVG(SALARY) FROM EMPLOYEE); 💎𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗥𝗼𝘄 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝘆 It returns multiple rows from subquery. SELECT EmployeeID, DepartmentID FROM EMPLOYEE WHERE DepartmentID IN (SELECT DepartmentID FROM DEPARTMENT WHERE DEPTNAME LIKE 'Human%'); 💎𝗖𝗼𝗿𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝘆 A correlated subquery relies on columns from the outer query.  It's assessed for every row handled by the parent query, which can be a SELECT, UPDATE, or DELETE statement. SELECT NAME, SALARY FROM EMPLOYEE T1 WHERE SALARY = (SELECT MAX(SALARY) FROM EMPLOYEE T2 WHERE T1.DepartmentID = T2.DepartmentID); 💎𝗦𝗰𝗮𝗹𝗮𝗿 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀 It returns exactly one value from subquery. SELECT NAME, DepartmentID, (SELECT MAX(SALARY) FROM EMPLOYEE T2 WHERE T2.DepartmentID = T1.DepartmentID) DEPT_MAX_SALARY FROM EMPLOYEE T1 WHERE NAME LIKE 'H%'; 💎𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲-𝗖𝗼𝗹𝘂𝗺𝗻 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀 The sub-query returns more than 1 row based on comparison with multiple columns. SELECT DepartmentID, DEPTNAME from DEPARTMENT where  (DepartmentID, DEPTNAME ) in (SELECT DepartmentID, DEPTNAME from FACULTY where FACULTY_ID > 1000) 𝘗𝘭𝘦𝘢𝘴𝘦 𝘫𝘰𝘪𝘯 𝘮𝘦 𝘧𝘰𝘳 𝘮𝘰𝘳𝘦 𝘰𝘧 𝘴𝘶𝘤𝘩 𝘤𝘰𝘯𝘵𝘦𝘯𝘵. ✅ #bigdata #dataanalyst #dataengineer #sql #sqlqueries #minalwrites

🚀 𝗦𝗤𝗟 𝗧𝗶𝗽𝘀: 𝗖𝗼𝗻𝘃𝗲𝗿𝘁𝗶𝗻𝗴 𝗥𝗼𝘄𝘀 𝘁𝗼 𝗖𝗼𝗹𝘂𝗺𝗻𝘀 𝗮𝗻𝗱 𝗖𝗼𝗹𝘂𝗺𝗻𝘀 𝘁𝗼 𝗥𝗼𝘄𝘀 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗨𝘀𝗶𝗻𝗴 𝗣𝗶𝘃𝗼𝘁 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 🚀 In the world of SQL, transforming data from rows to columns and vice versa can be challenging especially when you want to avoid using pivot functions. Today, I'm sharing a technique that can help you achieve this transformation using basic SQL operations. 𝗖𝗼𝗻𝘃𝗲𝗿𝘁𝗶𝗻𝗴 𝗥𝗼𝘄𝘀 𝘁𝗼 𝗖𝗼𝗹𝘂𝗺𝗻𝘀: 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼: You have sales data with `Product`, `Month`, and `Sales` columns, and you want to see sales figures as columns for each month. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Instead of using the `PIVOT` function, you can use conditional aggregation: 𝘀𝗾𝗹 𝚂𝙴𝙻𝙴𝙲𝚃 𝙿𝚛𝚘𝚍𝚞𝚌𝚝, 𝚂𝚄𝙼(𝙲𝙰𝚂𝙴 𝚆𝙷𝙴𝙽 𝙼𝚘𝚗𝚝𝚑 = '𝙹𝚊𝚗𝚞𝚊𝚛𝚢' 𝚃𝙷𝙴𝙽 𝚂𝚊𝚕𝚎𝚜 𝙴𝙻𝚂𝙴 𝟶 𝙴𝙽𝙳) 𝙰𝚂 𝙹𝚊𝚗𝚞𝚊𝚛𝚢_𝚂𝚊𝚕𝚎𝚜, 𝚂𝚄𝙼(𝙲𝙰𝚂𝙴 𝚆𝙷𝙴𝙽 𝙼𝚘𝚗𝚝𝚑 = '𝙵𝚎𝚋𝚛𝚞𝚊𝚛𝚢' 𝚃𝙷𝙴𝙽 𝚂𝚊𝚕𝚎𝚜 𝙴𝙻𝚂𝙴 𝟶 𝙴𝙽𝙳) 𝙰𝚂 𝙵𝚎𝚋𝚛𝚞𝚊𝚛𝚢_𝚂𝚊𝚕𝚎𝚜, -- 𝙰𝚍𝚍 𝚖𝚘𝚛𝚎 𝚖𝚘𝚗𝚝𝚑𝚜 𝚊𝚜 𝚗𝚎𝚎𝚍𝚎𝚍 𝙵𝚁𝙾𝙼 𝚂𝚊𝚕𝚎𝚜𝙳𝚊𝚝𝚊 𝙶𝚁𝙾𝚄𝙿 𝙱𝚈 𝙿𝚛𝚘𝚍𝚞𝚌𝚝; This approach uses `CASE` statements within aggregate functions to manually create the columns for each month. 𝗖𝗼𝗻𝘃𝗲𝗿𝘁𝗶𝗻𝗴 𝗖𝗼𝗹𝘂𝗺𝗻𝘀 𝘁𝗼 𝗥𝗼𝘄𝘀: 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼: You have a table with monthly sales data as separate columns and you want to normalize it into a row format. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: You can use `UNION ALL` to achieve this transformation: 𝘀𝗾𝗹 𝚂𝙴𝙻𝙴𝙲𝚃 𝙿𝚛𝚘𝚍𝚞𝚌𝚝, '𝙹𝚊𝚗𝚞𝚊𝚛𝚢' 𝙰𝚂 𝙼𝚘𝚗𝚝𝚑, 𝙹𝚊𝚗𝚞𝚊𝚛𝚢_𝚂𝚊𝚕𝚎𝚜 𝙰𝚂 𝚂𝚊𝚕𝚎𝚜 𝙵𝚁𝙾𝙼 𝚂𝚊𝚕𝚎𝚜𝙳𝚊𝚝𝚊 𝚄𝙽𝙸𝙾𝙽 𝙰𝙻𝙻 𝚂𝙴𝙻𝙴𝙲𝚃 𝙿𝚛𝚘𝚍𝚞𝚌𝚝, '𝙵𝚎𝚋𝚛𝚞𝚊𝚛𝚢' 𝙰𝚂 𝙼𝚘𝚗𝚝𝚑, 𝙵𝚎𝚋𝚛𝚞𝚊𝚛𝚢_𝚂𝚊𝚕𝚎𝚜 𝙰𝚂 𝚂𝚊𝚕𝚎𝚜 𝙵𝚁𝙾𝙼 𝚂𝚊𝚕𝚎𝚜𝙳𝚊𝚝𝚊 Add more months as needed This query combines multiple `SELECT` statements into a single result set, effectively turning columns into rows. 𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: Mastering these techniques allows you to handle complex reporting requirements and perform advanced data analysis without relying on specific SQL features. Plus, it enhances your SQL versatility! Feel free to reach out if you have any questions or need further clarification on these methods. Happy querying! 🧠📊 #SQL #DataAnalysis #DataScience #SQLTips #DatabaseManagement #DataTransformation