Microsoft Azure: AI-Driven Projects at Scale with Dataiku

Dataiku and Microsoft together empower everyone – not just expert data scientists and engineers – to create, deploy, and manage AI-driven data projects at scale.

Dataiku’s end-to-end data science platform deployed with Microsoft Azure Solutions and Products enables organizations of any size to deliver enterprise AI in a highly scalable, powerful, and collaborative environment. 

Achieving More with AI

Using Dataiku and Microsoft together, customers are able to:

• Deploy, manage, and scale: Dataiku on Azure Marketplace provides rapid deployment of pre-built images, and Dataiku integration with Azure Kubernetes services supports the ability to scale analytical compute and realtime API-based models.
• Maximize productivity: Dataiku allows users of all technical and non-technical levels to provide value to AI projects. Data scientists can leverage AutoML; data analysts can easily access, transform, and visualize their data; and data engineers can automate, deploy, and monitor data pipelines in an instant. 
• Expand the reach of AI projects: Dataiku puts the power of AI within reach of all professionals in the enterprise. Dataiku offers the right tools for less technical users to manipulate and analyze large data sets and for business teams to consume insights. 
• Increase conversion to production: New applications can be put into production in weeks instead of months or years thanks to Dataiku’s ability to streamline the entire process. From designing AI applications to operationalization, all users can have an actual business impact.

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Integration Highlights

• Seamless access to data stored on Azure, with read/write access to:
  • Azure Blob Storage
  • Azure Data Lake Store Gen1 and Gen2 
• Scale data pipelines and machine learning processes by leveraging compute clusters
  • Azure Databricks
  • Azure Kubernetes Services
• Connect, visualize, transform, and analyze datasets stored in SQL databases
  • SQL Server 
  • Azure SQL
  • SQL-DW
• Leverage a broad range of Microsoft technologies
  • Prepare, model and export data to PowerBI
  • Use Azure Cognitive Services to apply pre-trained NLP and computer vision models
  • Send notifications to Microsoft Teams for better collaboration
  • Develop Dataiku recipes or plugins using Visual Studio Code
  • Read and write Microsoft Excel spreadsheets
  • Interface with Azure Active Directory for managing users