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SQL Interview Success: Unlocking the Top 5 Frequently Asked Queries

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 Here are the five top commonly asked SQL queries in the interviews. These you can expect in Data Analyst, or, Data Engineer interviews. Top SQL Queries for Interviews 01. Joins The commonly asked question pertains to providing two tables, determining the number of rows that will return on various join types, and the resultant. Table1 -------- id ---- 1 1 2 3 Table2 -------- id ---- 1 3 1 NULL Output ------- Inner join --------------- 5 rows will return The result will be: =============== 1  1 1   1 1   1 1    1 3    3 02. Substring and Concat Here, we need to write an SQL query to make the upper case of the first letter and the small case of the remaining letter. Table1 ------ ename ===== raJu venKat kRIshna Solution: ========== SELECT CONCAT(UPPER(SUBSTRING(name, 1, 1)), LOWER(SUBSTRING(name, 2))) AS capitalized_name FROM Table1; 03. Case statement SQL Query ========= SELECT Code1, Code2,      CASE         WHEN Code1 = 'A' AND Code2 = 'AA' THEN "A" | "A

Oracle fFlash Storage and its Top Features

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ORACLE flash storage is faster than other storage systems. This post tells why flash storage you need and the special features of flash storage from oracle. Customers today are facing a triad of issues requiring higher performance from their storage systems such as More server and application virtualization, Faster servers and scale-out applications and Latency-sensitive applications. Flash storage is seen as the solution to these issues because it delivers the desired higher performance.  But does all of your data need flash media?  What if there were “a smart and self-optimizing” storage system that automatically moves data across different media depending not only on frequency of usage, but also on the application’s performance requirements, media cost, and business value? Introducing Oracle FS1 Flash Storage System. How is Oracle FS1 Flash Storage System Different? Oracle FS1 intelligently delivers flash performance when you need it and reduces costs by moving data