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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
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Amazon web services -Object Storage

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Object Storage:

Object storage provides the ability to store, well, objects — which are essentially collections of digital bits. Those bits may represent a digital photo, an MRI scan, a structured document such as an XML file — or the video of your cousin's embarrassing attempt to ride a skateboard down the steps at the public library (the one you premiered at his wedding).

Object storage offers the reliable (and highly scalable) storage of collections of bits, but imposes no structure on the bits.

The structure is chosen by the user, who needs to know, for example, whether an object is a photo (which can be edited), or an MRI scan (which requires a special application for viewing it). The user has to know both the format as well as the manipulation methods of the object. The object storage service simply provides reliable storage of the bits.

Difference between Object storage and File storage

Object storage differs from file storage, which you may be more familiar with from using a PC. File storage offers update functionality, and object storage does not. For example, suppose you are storing logging output from a program.

The program constantly adds new logging entries as events occur; creating a new object each time an additional log record is created would be incredibly inconvenient. By contrast, using file storage allows you to continuously update the file by appending new information to it — in other words, you update the file as the program creates new log records.


Related: 30 high paying Technology (IT) Jobs


Object storage offers no such update ability. You can insert or retrieve an object, but you can't change it. Instead, you update the object in the local application and then insert the object into the object store. To let the new version retain the same name as the old version, delete the original object before inserting the new object with the same name. The difference may seem minor, but it requires different approaches to managing stored objects.

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