Distributed Computing

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

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What is Dask?

Dask is a Python library that allows users to scale their code and data processing tasks across a cluster of machines. It is designed to be used on compute clusters, enabling users to run their code in parallel and make full use of the available resources. It is particularly useful for handling large datasets and performing complex computations that would be difficult or impossible to do on a single machine.

Use cases for Dask

Model Media Mix Effectiveness for Marketing Optimization

Score Propensity to Buy with Predictive Analytics Tools

Manage Customer Retention with Predictive Analytics

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Why is Dask better on Shakudo?

Why is Dask better on Shakudo?

Core Shakudo Features

Secure infrastructure

Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
integrate

Integrate with everything

Empower your team with seamless integration to the most popular data & AI framework and tools they want to use.

Streamlined Workflow

Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.

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Neal Gilmore