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Data pipeline implementations involve the process of moving and transforming data from source to destination.
Data pipeline is a series of processes that extract data from sources, transform it, and load it into a destination.
Common tools for data pipeline implementations include Apache NiFi, Apache Airflow, and AWS Glue.
Data pipelines can be batch-oriented or real-time, depending on the requirements of the use case.
You can load data using delta table in ADF by using the Copy Data activity and specifying the delta format.
Use the Copy Data activity in ADF to load data into a delta table
Specify the delta format in the sink settings of the Copy Data activity
Ensure that the source data is compatible with the delta format
I was interviewed in Mar 2024.
Data drift is the concept of data changing over time, affecting the performance of machine learning models. Model lifecycle management involves monitoring and updating models to maintain accuracy.
Data drift refers to the phenomenon where the statistical properties of the target variable change over time, leading to a decrease in model performance.
Examples of data drift include changes in customer behavior, shifts in ma...
posted on 27 Jul 2023
Coding was fully based on python.
First they told me to on the laptop camera because it was a virtual interview and then they told me to share my screen
1. Starting from self introduction
2. Summarise my project in 2 minutes
3. Then he ask back to back 5-6 python.
questions and I have to write in vs
code ( on shared screen) ,I have to
write the code and then execute it.
They asked. few side questions like
from html and sql.
4. Total duration of interview is 30
minutes
I applied via Walk-in and was interviewed before Mar 2021. There were 2 interview rounds.
TELL ME ABOUT YOUR SELF
I applied via Referral and was interviewed before May 2020. There was 1 interview round.
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