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Apache Spark

Looking to accelerate big data processing with Apache Spark? As a powerful, distributed computing engine, Spark enables fast, scalable analytics and machine learning on massive datasets. Whether you’re optimizing performance, managing data pipelines, or integrating with modern storage solutions, our blogs cover key insights and best practices. Explore the articles below to learn how to get the most out of Apache Spark for your data-driven workloads.

Pure Storage - Icon
  • RDD vs. DataFrame: What’s The Difference?
    Purely Educational

    RDD vs. DataFrame: What’s The Difference?

    By:

    Pure Storage
  • Notes from a Hackathon: How to Cut Down Web Requests by 70%
    Purely Technical

    Notes from a Hackathon: How to Cut Down Web Requests by 70%

    By:

    Martin Vich
  • National Coding Week: Upskill Your Coding Knowledge with Pure Storage
    Purely Technical

    National Coding Week: Upskill Your Coding Knowledge with Pure Storage

    By:

    Jacob Yothment
  • Data Fabric vs. Data Lake vs. Data Warehouse
    Purely Educational

    Data Fabric vs. Data Lake vs. Data Warehouse

    By:

    Pure Storage
  • How to Build an Open Data Lakehouse with Spark, Delta, and Trino on S3
    Purely Technical

    How to Build an Open Data Lakehouse with Spark, Delta, and Trino on S3

    By:

    Yifeng Jiang
  • How to Accelerate Apache Spark with RAPIDS on GPU
    Purely Technical

    How to Accelerate Apache Spark with RAPIDS on GPU

    By:

    Yifeng Jiang
  • How to Run Apache Spark on Kubernetes: Approaches and Workflow
    Purely Technical

    How to Run Apache Spark on Kubernetes: Approaches and Workflow

    By:

    Yifeng Jiang
  • How to Use the FlashBlade Network Plumbing Validation Tool
    Purely Technical

    How to Use the FlashBlade Network Plumbing Validation Tool

    By:

    Joshua Robinson
  • How to Configure Apache Spark on FlashBlade, Part 2
    Purely Technical

    How to Configure Apache Spark on FlashBlade, Part 2

    By:

    Joshua Robinson
  • Spark’s Missing Parallelism: Loading Large Datasets
    Purely Technical

    Spark’s Missing Parallelism: Loading Large Datasets

    By:

    Joshua Robinson
  • How to Configure Apache Spark on FlashBlade, Part 1
    Purely Technical

    How to Configure Apache Spark on FlashBlade, Part 1

    By:

    Joshua Robinson
  • Everything You Need to Know About Apache Cassandra with Pure Storage
    Solutions

    Everything You Need to Know About Apache Cassandra with Pure Storage

    By:

    Krishna Satyavarapu
  • Architecting Apache Cassandra on Cloud Block Store [AWS]
    Purely Technical

    Architecting Apache Cassandra on Cloud Block Store [AWS]

    By:

    Krishna Satyavarapu
  • How to Recover A Kafka Broker Faster Using FlashArray Snapshots
    Purely Technical

    How to Recover A Kafka Broker Faster Using FlashArray Snapshots

    By:

    Krishna Satyavarapu
  • Apache Cassandra Rapid Node Replacement Using Snapshots
    Purely Technical

    Apache Cassandra Rapid Node Replacement Using Snapshots

    By:

    Krishna Satyavarapu
FlashBlade//EXA is a reflection not only of our innovation engine but our ability to innovate rapidly while staying true to our promise of simplicity, consistency, performance, and efficiency. It sets a new standard for AI and HPC data storage performance, scalability, and adaptability. 

Charles Giancarlo

CEO

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