List: Pyspark | Curated by Muttineni Sai Rohith

Jan 30, 2025
30 stories
Pyspark
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Towards Dev
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Muttineni Sai Rohith
Using AVRO Files in PySparkIn the world of big data, efficiently storing and exchanging data is as critical as processing it. With a variety of file formats…
Jan 23
Jan 23
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Dev Genius
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Muttineni Sai Rohith
Encrypting and Decrypting a DataFrame in PySparkIn the age of big data, data security is paramount. As organizations process vast amounts of sensitive data, ensuring its security during…
Jan 26
Jan 26
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Towards Dev
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Muttineni Sai Rohith
Working With Complex Data Types: Structs, Arrays, and Maps in PySparkIn the world of big data, datasets are rarely simple. They often include nested and hierarchical structures, such as customer profiles…
Jan 1
1
Jan 1
1
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Dev Genius
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Muttineni Sai Rohith
Understanding Data Partitioning in PysparkIn the world of big data processing, efficiency is king. When dealing with terabytes or even petabytes of data, even small inefficiencies…
Jan 2
Jan 2
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CodeX
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Muttineni Sai Rohith
Start Using Salting Technique in PysparkIn the world of distributed computing, performance bottlenecks are a common challenge. A particularly tricky issue in PySpark (or any…
Jan 3
3
Jan 3
3
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Towards Dev
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Muttineni Sai Rohith
Is Pyspark Faster Than Pandas?When working with data, performance is often the most critical concern. As datasets grow larger, choosing the right tool for processing…
Jan 4
Jan 4
Muttineni Sai Rohith
Understanding Pyspark ArchitecturePySpark, a Python API for Apache Spark, is a powerful framework for distributed data processing and analytics. In a PySpark application…
Jan 6
Jan 6
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Towards Dev
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Muttineni Sai Rohith
What is Pyspark Job? | Pyspark Architecture — 2In the world of data engineering, handling vast amounts of data efficiently is paramount. Data engineers are tasked with designing systems…
Jan 7
Jan 7
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CodeX
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Muttineni Sai Rohith
What is Pyspark Stage? | Pyspark Architecture — 3When working with big data frameworks like Apache Spark, one of the key components for achieving efficiency is understanding how…
Jan 8
Jan 8
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Dev Genius
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Muttineni Sai Rohith
What is a Pyspark Executor? | Pyspark Architecture — 4When working with distributed data frameworks like Apache Spark, one of the core concepts we need to understand is how tasks are…
Jan 10
Jan 10
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CodeX
by
Muttineni Sai Rohith
What is a Pyspark Driver? | Pyspark Architecture — 5In a distributed computing system like Apache Spark, the driver is the heart of the application, responsible for managing the overall flow…
Jan 12
Jan 12
Muttineni Sai Rohith
Role of Cluster Managers in Pyspark | Pyspark Architecture — 6When working with large-scale data processing using Apache Spark, resource management becomes a critical factor for ensuring optimal…
Jan 16
Jan 16
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CodeX
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Muttineni Sai Rohith
How Pyspark Executor and Driver are differentWhen working with Apache Spark, particularly with PySpark, understanding the distinction between the Driver and Executor is crucial. These…
Jan 19
Jan 19
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Dev Genius
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Muttineni Sai Rohith
How Schema Inference in Pyspark WorksWorking with massive datasets is a core part of data engineering. PySpark, a distributed data processing engine, offers a powerful…
Dec 29, 2024
Dec 29, 2024
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Dev Genius
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Muttineni Sai Rohith
Understanding Lazy Evaluation in PySparkLazy evaluation is a computational strategy where operations are not executed immediately but deferred until the output is executed
Dec 27, 2024
Dec 27, 2024
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Dev Genius
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Muttineni Sai Rohith
Start using Cache and Persist in Pyspark: Performance BoosterIf you’ve worked with PySpark for a while, you’ve probably realized that working with large datasets can sometimes feel like a balancing…
Dec 17, 2024
Dec 17, 2024
In
Data Engineer Things
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Muttineni Sai Rohith
Use These Techniques for Efficient Data Suffling in PysparkWhen I first started working with PySpark, one of the trickiest concepts I encountered was data shuffling. I vividly remember the…
Dec 20, 2024
Dec 20, 2024
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Dev Genius
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Muttineni Sai Rohith
Start Using Broadcast Variables and Accumulators in Pyspark| Enhancing EfficiencyOptimize PySpark workflows with Broadcast Variables and Accumulators: Learn to efficiently share data and aggregate metrics using Pyspark
Dec 23, 2024
Dec 23, 2024
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Towards Dev
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Muttineni Sai Rohith
Understanding DAGs(Directed Acyclic Graph) and their role in PysparkIn the world of distributed computing, PySpark has emerged as one of the most powerful frameworks for processing large datasets. At the…
Dec 23, 2024
Dec 23, 2024
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Dev Genius
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Muttineni Sai Rohith
Transformations vs Actions in PySpark| Pyspark fundamentalsBig data processing has transformed industries by enabling organizations to handle massive datasets efficiently. PySpark, a popular data…
Dec 25, 2024
Dec 25, 2024