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50 PySpark Interview Questions and Answers For 2025

ProjectPro

As adoption continues to grow, mastering PySpark has become essential for pursuing careers in Big Data, necessitating thorough preparation to tackle challenging interviews successfully. RDDs provide fault tolerance by tracking the lineage of transformations to recompute lost data automatically.

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How to Build an AI Agent with Pydantic AI: A Beginner's Guide

ProjectPro

Trusted by top companies like Adobe, Amazon, Google, and OpenAI, Pydantic simplifies data validation and structure definition, making it easier to build scalable, production-grade AI applications. Advanced Features for Development Dependency Injection System: Supplies data and services to agents, simplifying testing and iterative development.

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Streaming Data from the Universe with Apache Kafka

Confluent

This data pipeline is a great example of a use case for Apache Kafka ®. Observational astronomers study many different types of objects, from asteroids in our own solar system to galaxies that are billions of lightyears away. The technology underlying the ZTF system should be a prototype that reliably scales to LSST needs.

Kafka 102
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Schema Validation with Confluent 5.4-preview

Confluent

Once an architectural luxury, data governance has become a necessity for the modern enterprise across the entire stack. For Kafka, all producers and consumers are required to agree on those data schemas to serialize and deserialize messages. Schema Validation lays the foundation for data governance in Confluent Platform.

Kafka 16
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100+ Big Data Interview Questions and Answers 2025

ProjectPro

Key features Hadoop RDBMS Overview Hadoop is an open-source software collection that links several computers to solve problems requiring large quantities of data and processing. RDBMS is a part of system software used to create and manage databases based on the relational model. RDBMS stores structured data.

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Optimizing Kafka Streams Applications

Confluent

This framework opens the door for various optimization techniques from the existing data stream management system (DSMS) and data stream processing literature. addSink(" SinkProcessor" , "output" , "MappingProcessor" ); System. build(properties); System. With the release of Apache Kafka ® 2.1.0, println(builder.

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Monte Carlo + Databricks Doubles Mutual Customer Count—and We’re Just Getting Started

Monte Carlo

After launching our partnership with Databricks last year, Monte Carlo has aggressively expanded our native Databricks and Apache Spark™ integrations to extend data observability into the Delta Lake and Unity Catalog, and in the process, drive even more value for Databricks customers.