In this article, we will see the list of questions asked in KPMG India Company Interview for 2+ year of experience candidate in big data field.
Let’s see the Questions:
Category: Big Data
IBM says if any data can be characterized or classified by these 3 v’s (Volume, Variety and Velocity) then it is called as Big Data.
Volume : Scale of Data.
Variety : Different forms of data.
Velocity : Speed at which new data is generated.
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Setting up a Snowpark environment on your local machine allows you to leverage the power of Snowflake for data processing and analytics. Whether you’re a data engineer, data scientist, or data analyst, having a local Snowpark environment can significantly enhance your productivity and facilitate experimentation. In this post, we’ll walk you through the steps to set up a Snowpark environment on your local machine.
Deloitte | Big Data Engineer Interview Experience
In this article, we will see the list of questions asked in Deloitte Company Interview for 3+ year of experience candidate in big data field.
Let’s see the Questions:
1) Briefly Introduce YourSelf?
2) Difference between head() and take() in spark dataframe API?
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Why Do We Need Bigdata Technology?
Why Big Data?
- To process huge amounts of data which traditional systems (like your pc/ laptop) are not capable of processing.
- To process huge amounts of data we need to store it first.
Example: Suppose we need to store 150 TBs of data, can our traditional system/ laptop which have 1 TB capacity store these huge amounts of data? No Right.
Introduction To Big Data
FORMAL DEFINATION GIVEN BY IBM IS:
Any data which is characterized by 3v’s is termed as “BIGDATA”.
These are:
1) Volume
2) Variety
3) Velocity