Ready to use data science clusters

Organizations today are looking for ways to democratize access to data and machine learning (ML). Ready-to-use data science clusters help to unlock the potential of shared, consumable data while accelerating time to value and lowering total cost of ownership.

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Databricks

Databricks Unified Analytics Platform is a cloud-based service for running your analytics in one place, from data pipelines to ML. It provides data science and engineering teams out-of-the-box clusters with optimized Apache Spark and various ML frameworks. These clusters are coupled with collaboration capabilities to improve productivity across the ML lifecycle.

Databricks Unified Analytics Platform features include:

  • Collaborative notebooks
  • Access to preconfigured ML environments
  • Complete ML lifecycle and optimized environments
  • Reliable data lakes
  • Highly efficient and fast data pipelines

How it works

Additional resources from Databricks

McGraw-Hill Education

McGraw-Hill Education is a 129-year-old educational company that faced several innovation challenges, specifically data access, processing, and scale. By adopting Databricks, the company was able to reduce its infrastructure complexity, improve cluster management, and build out automated workflows. As a result, McGraw-Hill reduced its total cost of ownership by 30%. They also accelerated their time to value through rapid delivery of innovative solutions to over 5.5 million students.

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Having an agile innovation workflow is critical for McGraw-Hill Education. Databricks Unified Analytics Platform is at the center of our ecosystem and underpins our innovation pipeline and workflows.

Alfred Essa, VP of Research and Data Science, McGraw-Hill Education

AWS Marketplace

AWS Marketplace is a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS.

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Have questions? Have tips?

We're here to help you get started with AWS Marketplace. Ask for or give advice on the AWS Marketplace discussion forum.