Distributed Computing

What is Apache Spark, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
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What is Apache Spark?

Apache Spark is a powerful, open-source data processing engine that is designed to handle large-scale data processing and analytics tasks. It is fast and efficient, and it can be used to analyze and understand complex data sets in a variety of industries and applications. Spark is particularly useful for data scientists and data engineers who need to process and analyze large amounts of data quickly and efficiently.

Use cases for Apache Spark

Improve Air Traffic Control with Advanced Pattern Recognition

Generate Real-World Evidence for Healthcare Decisions

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Why is Apache Spark better on Shakudo?

Why is Apache Spark better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
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Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

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Neal Gilmore
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