Are you interested in transitioning into data engineering, even though your background is not in technology? You’re not alone. Many people from fields like business, healthcare, or the arts dream of harnessing the power of data but worry that their lack of technical experience will hold them back. The good news: breaking into data engineering is absolutely possible—with a roadmap and determination.
Tag: Data Engineer
Impetus | Big Data Engineer Interview Questions- Set 3
In this post, we will see the list of questions asked with 3+ YOE candidate in Impetus Company Interview for Data Engineer profile.
Tiger Analytics | Data Engineer Interview Questions – Set 1
In this post, we will see the list of questions asked with 4+ YOE candidate in Tiger Analytics Company Interview for AWS Data Engineer profile.
Let’s see the Questions:
Tech Mahindra | Data Engineer Interview Questions – Set 1
In this post, we will see the list of questions asked in Tech Mahindra Company Interview for Data Engineering profile.
TCS | Data Engineer Interview Questions – Set 1
In this article, we will see the list of questions asked in TCS Company Interview for Data Engineers. Let’s see the Questions:
Capgemini | Data Engineer Interview Questions – Set 1
In this article, we will see the list of questions asked in Capgemini Company Interview for Data Engineers.
Let’s see the Questions:
1) Describe a recent project you’ve worked on.
Wipro | Big Data Engineer Interview Questions – Set 1
In this article, we will see the list of questions asked in Wipro Company Interview for Data Engineers.
Let’s see the Questions:
1) Describe the concept of imputations (handling missing data) in Spark.
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