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A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale.
Data lakes store raw data in its native format without the need to structure it beforehand
Data lakes can store a variety of data types such as logs, images, videos, and more
Data lakes enable data scientists to perform advanced analytics and machine learning on large datasets
A data warehouse is a centralized repository that stores structured and unstructured data from various sources for analysis and reporting.
Data warehouse is used for decision-making and business intelligence purposes
It consolidates data from different sources into a single database
Data is organized in a way that is optimized for querying and analysis
Examples include Amazon Redshift, Google BigQuery, and Snowflake
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
Code in Python for checking palindromes and SQL for sales data based on months.
I was interviewed in Dec 2024.
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
Aptitude, coding on python NLP
Python Data Frames, String list manipulation
I applied via Naukri.com and was interviewed in May 2024. There were 3 interview rounds.
Python round tested basic Python only (not Pandas)
The case study round was with their client team
I applied via Company Website and was interviewed in Apr 2024. There were 3 interview rounds.
This round Medium level leet code question
Cpg case study logistic regression linear regression
I applied via Campus Placement
Test+2 interviews(technical and statistics)
Basic guestimates and case studies
based on 1 interview
Interview experience
based on 1 review
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