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:
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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:
In this post, we will see the list of questions asked in Tech Mahindra Company Interview for Data Engineering profile.
In this article, we will see the list of questions asked in TCS Company Interview for Data Engineers. Let’s see the Questions:
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.
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.
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?
…
Why Big Data?
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.
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
End to End Data Engineering Roadmap:
Prerequisites:
—————-
1. Basic Linux commands.
2. Programming fundamentals.
3. SQL is very important.
In this post we will see the preparation strategy for Databricks Certified Associate Developer for Apache Spark Exam.
This certification exam assesses the understanding of the Spark DataFrame/SQL API and the ability to apply the Spark DataFrame/SQL API to complete basic data manipulation tasks within a Spark session.
This certification exam assesses the understanding of the Spark DataFrame/SQL API and the ability to apply the Spark DataFrame/SQL API to complete basic data manipulation tasks within a Spark session.
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