𝐊𝐞𝐲 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬
Apurva Suke
Data Cleansing: Data cleansing is the process of identifying and correcting errors or inconsistencies in data to ensure it is accurate, complete, and ready for analysis. This can involve removing…
“𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐊𝐞𝐲 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐚𝐧𝐝 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐘𝐨𝐮 𝐒𝐡𝐨𝐮𝐥𝐝 𝐊𝐧𝐨𝐰!”
In the rapidly evolving world of data, mastering the key concepts of data engineering is crucial for building robust, scalable systems that empower data-driven decisions. Whether you’re a seasoned pro…
Must Know SQL Questions for Your Upcoming Interviews
1.Find the second high salary employee from Employee table consist of EmpID, Name,Salary Columns.Select TOP 1 * from(Select TOP 2 * from Emp.EmployeeOrder by Salary desc) as AOrder by Salary…
Understanding SQL Joins
SQL Joins combine data from multiple tables using common columns. This helps reduce data redundancy and promotes better organization. Example: Let’s say we have two tables: students and courses. The…
Understanding OLTP vs OLAP: Key Differences
OLTP (Online Transaction Processing) Source:OLTP relies on real-time, transactional data from a single source. Characteristics:It manages a large number of small, individual transactions. Response Time:Response time is typically in milliseconds.…
Top 30 SQL Commands For Interview
1) SELECT – Select statements are used to fetch data from a database. Every query will begin with SELECT. SyntaxSELECT column_nameFROM table_name; 2) LIMIT – Limiting the number of rows…
Understanding SQL Commands: Exploring DDL, DML, DCL, and TCL Operations
SQL, which stands for Structured Query Language, is a tool used to manage and manipulate data in a database. MySQL, on the other hand, is a relational database management system…