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What is Presto and what is the meaning of un-nesting an array?
As the data grows, it becomes trickier to hold


CROSS JOIN UNNEST – It is simply used to flatten an array, flattening means converting an Array, Map or Row in a flat relation by converting it into multiple rows (one row for every value in array)
Sample table



Select Name,Emp_id,expertise
from Employee
CROSS JOIN UNNEST(Subject) as t(expertise)

If there are multiple arrays

Select Name,Emp_id,expertise,phone_num
from Employee
CROSS JOIN UNNEST(Subject,Phone) as t(expertise,phone_num)

Hive Query

Select Name,Emp_id,expertise
from Employee
LATERAL VIEW explode(Subject) myTable1 as expertise

If there are two columns to be unnested then

Select Name,Emp_id,expertise,Phone
from Employee
LATERAL VIEW explode(Subject) myTable1 as expertise
LATERAL VIEW explode(Phone) myTable2 as Phone

Knowing when and how to do unnesting is very important as there will be multiple instances where a tough problem can be solved using Cross Join Unnest.

We have also created a video on Cross Join unnest to explain it in a better way, Do check out the
Video Link Here

Now, if you are confused about starting SQL as a beginner and to reach to an interview ready state then do read this blog on How to prepare for SQL in 15 days

Do check out our booklist below for complete preparation in 30 Days

The Data Monk Interview Books – Don’t Miss

Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.

10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms – Ideal for 0-3 years experienced candidates

23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies – Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)

12 E-books for 12 Machine Learning algorithms with 1000+ interview questions – For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package

Individual 50+ e-books on separate topics

Important Resources to crack interviews (Mostly Free)

There are a few things which might be very useful for your preparation

The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics Manager, etc.
Go through the watchlist which makes you uncomfortable:-

All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics

About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

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