Databricks on AWS

The simple, unified data platform seamlessly integrated with AWS

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Databricks on AWS step-by-step training

Databricks on AWS allows you to store and manage all your data on a simple, open lakehouse platform that combines the best of data warehouses and data lakes to unify all your analytics and AI workloads.

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Why Databricks on AWS?

Simple

Databricks enables a single, unified data architecture on S3 for SQL analytics, data science and machine learning

12x better price/performance

Get data warehouse performance at data lake economics through SQL-optimized compute clusters

Proven

Thousands of customers have implemented Databricks on AWS to provide a game-changing analytics platform that addresses all analytics and AI use cases

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Dollar Shave Club: Personalizing customer experiences with Databricks

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Hotels.com: Optimizing the customer experience with machine learning

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HP: From data prep to deep learning — how HP unifies analytics with Databricks

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Featured integrations

AWS Security
Databricks integrates with Amazon security and single sign-on, making it easy to roll out across your organization. Users can access Databricks using AWS SSO without the need for managing a separate set of credentials. Read more.

Amazon Redshift
Databricks’ built-in integration with Redshift supports fast and easy transfer of data. Use Databricks to prepare data for Redshift with fast and reliable data pipelines, and access data from Redshift for advanced analytics. Read more.

AWS Glue
Databricks’ integration with the AWS Glue service allows you to easily share Databricks table metadata from a centralized catalog across multiple Databricks workspaces, AWS services, applications, or AWS accounts. This enables users to easily access tables in Databricks from other AWS services, such as Athena. Read more.

Enterprise Rollout

It’s important to carefully work through your rollout strategy — before you roll out Databricks across your enterprise. This page will help you understand the trade-offs so you can make the best decisions for your business. Read more.





AWS Security
Databricks integrates with Amazon security and single sign-on, making it easy to roll out across your organization. Users can access Databricks using AWS SSO without the need for managing a separate set of credentials. Read more.

Amazon Redshift
Databricks’ built-in integration with Redshift supports fast and easy transfer of data. Use Databricks to prepare data for Redshift with fast and reliable data pipelines, and access data from Redshift for advanced analytics. Read more.

AWS Glue
Databricks’ integration with the AWS Glue service allows you to easily share Databricks table metadata from a centralized catalog across multiple Databricks workspaces, AWS services, applications, or AWS accounts. This enables users to easily access tables in Databricks from other AWS services, such as Athena. Read more.

Enterprise Rollout

It’s important to carefully work through your rollout strategy — before you roll out Databricks across your enterprise. This page will help you understand the trade-offs so you can make the best decisions for your business. Read more.

edmunds
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“Databricks democratizes data engineering and machine learning, and enables us to instill data driving principles.”
fis
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“Databricks enables you to unlock your imagination.”
showtime
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”Our pipeline has gone from over 24 hours to refresh to less than 4 hours using Databricks.”
quby
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“Databricks, through the power of Delta Lake and Structured Streaming, allows us to deliver alerts to our product’s users with a very limited latency, so they’re able to react to problems within their home before it affects their comfort levels.”
condenast
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“Databricks has been an incredibly powerful end-to-end solution for us. It’s allowed a variety of different team members from different backgrounds to quickly get in and utilize large volumes of data to make actionable business decisions.”
healthdirect
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“Databricks delivered the time to market as well as the analytics and operational uplift that we needed in order to be able to meet the new demands of the healthcare sector.”

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