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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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Hadoop Skills Free Video Training

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Are you interested in the world of Big data technologies, but find it a little cryptic and see the whole thing as a big puzzle. The hadoop free video training really useful to learn quickly.

Are you looking to understand how Big Data impact large and small business and people like you and me?
Do you feel many people talk about Big Data and Hadoop, and even do not know the basics like history of Hadoop, major players and vendors of Hadoop. Then this is the course just for you!
This course builds a essential fundamental understanding of Big Data problems and Hadoop as a solution. This course takes you through:
  1. Understanding of Big Data problems with easy to understand examples.
  2. History and advent of Hadoop right from when Hadoop wasn’t even named Hadoop.
  3. What is Hadoop Magic which makes it so unique and powerful.
  4. Understanding the difference between Data science and data engineering, which is one of the big confusions in selecting a carrier or understanding a job role.
  5. And most importantly, demystifying Hadoop vendors like Cloudera, MapR and Hortonworks by understanding about them.
What are the requirements
  • Interest in new technical field of Big Data
  • Interest in a new technology: Hadoop.
  • What am I going to get from this course?
  • Over 8 lectures and 44 mins of content!
  • To build fundamental knowledge of Big Data and Hadoop
  • To build essential understanding about Big Data and Hadoop.
What is the target audience
  • Big Data and Hadoop Enthusiast
  • Non-geeks and any one who wants to know about Big Data.

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