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I applied via LinkedIn and was interviewed in Feb 2024. There were 3 interview rounds.
I applied via LinkedIn and was interviewed in Jan 2024. There was 1 interview round.
Pyspark is a Python API for Apache Spark, a powerful open-source distributed computing system.
Pyspark is used for processing large datasets in parallel across a cluster of computers.
It provides high-level APIs in Python for Spark programming.
Pyspark allows seamless integration with other Python libraries like Pandas and NumPy.
Example: Using Pyspark to perform data analysis and machine learning tasks on big data sets.
Pyspark SQL is a module in Apache Spark that provides a SQL interface for working with structured data.
Pyspark SQL allows users to run SQL queries on Spark dataframes.
It provides a more concise and user-friendly way to interact with data compared to traditional Spark RDDs.
Users can leverage the power of SQL for data manipulation and analysis within the Spark ecosystem.
To merge 2 dataframes of different schema, use join operations or data transformation techniques.
Use join operations like inner join, outer join, left join, or right join based on the requirement.
Perform data transformation to align the schemas before merging.
Use tools like Apache Spark, Pandas, or SQL to merge dataframes with different schemas.
Pyspark streaming is a scalable and fault-tolerant stream processing engine built on top of Apache Spark.
Pyspark streaming allows for real-time processing of streaming data.
It provides high-level APIs in Python for creating streaming applications.
Pyspark streaming supports various data sources like Kafka, Flume, Kinesis, etc.
It enables windowed computations and stateful processing for handling streaming data.
Example: C...
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I applied via Naukri.com and was interviewed in Feb 2024. There were 3 interview rounds.
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I applied via Approached by Company and was interviewed in Sep 2023. There were 3 interview rounds.
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