Bidatia

DATA AND AI PLATFORM

Databricks

We implement Databricks on Azure, AWS or Google Cloud: as the engine that processes your data, as a big data warehouse and as the compute layer for your analytical queries.

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What we do with Databricks

  • Data processing

    Batch and streaming loads with Spark, orchestrated, with quality and traces.

  • Big data warehouse

    A lakehouse on Delta Lake: layered, versioned and governed data.

  • Analytical compute

    SQL Warehouse as the engine behind BI queries and dashboards.

  • Machine learning

    Your own models trained and put into production on the same platform.

Typical projects

  • Databricks as the processing engine for data loads
  • Big data warehouse (lakehouse) on Delta Lake
  • Compute layer for analytical queries and dashboards
  • Migration of integration and reporting processes from legacy platforms
  • Knowledge transfer so your teams can run the platform

Related services

Case studies with this technology

Real-time digital advertising company

Migration to a cloud-native architecture with Databricks

Challenge
The data and analytics platform was not keeping pace with business growth: integration and reporting processes needed modernising, and the teams had no experience with the new technology.
Solution
Target architecture on AWS, migration of the integration and reporting processes to Databricks, and knowledge transfer to the teams.
Result
Scalable storage with orchestrated pipelines, a foundation ready for machine learning, and the client's teams running operations autonomously.
Data platforms

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A first 30-minute conversation, no strings attached.

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