Your partner for data-driven innovation with Databricks
Dataciders has been a certified Databricks partner since 2019 and supports companies in building modern data and AI platforms. We support projects holistically - from architecture and development to the operation of scalable and reliable solutions based on Databricks.
- All-in-one data platform for integration, data insights and artificial intelligence
- Full data control with Unity Catalog and Lakehouse Federation
- AI-supported decision-making through seamless ML integration
Databricks: Platform for
data analysis and AI in complex system landscapes
The platform helps companies to break down data silos, simplify complex pipelines and make data-driven decisions in real time. Thanks to a direct connection to Microsoft Azure, Amazon AWS and Google Cloud as well as integration with systems such as SAP or Snowflake, a flexible, scalable data architecture is created - optimized for modern companies.
Our service portfolio as a Databricks partner
Introduction & Onboarding
Structured onboarding, practical enablement and technical support in setting up the underlying cloud infrastructure.
Migration of existing systems
Evaluation and migration of existing BI or data platforms to Databricks - including SAP BW/HANA, Azure services or on-prem systems.
Architecture & Development
Design and implementation of scalable data solutions with Apache Spark, Delta Lake, MLflow and CI/CD - for production-ready platforms with measurable benefits. Our frameworks and templates ensure short project runtimes and high quality results.
Central access concepts with Unity Catalog
Support in setting up multi-tenant authorization models, role-based access and consistent data management - centrally controlled and audit-proof.
Monitoring & performance optimization
Continuous monitoring and optimization of the platform - with a focus on performance, cost control and technical scalability.
Training & Enablement
We make teams fit for working with Databricks - with practical training in data engineering, ML workflows, CI/CD and governance.
Long-term partnership
Consulting, implementation, operation - we take responsibility for the entire solution and actively support its further development.
Databricks Whitepaper: Transforming
Data into Value
Technological expertise around Databricks
Databricks platform functions
- Apache Spark & Delta Lake
- Lakehouse Federation & Delta Sharing
- Unity Catalog, MLflow, Databricks Repos
Cloud ecosystems & integration
- Microsoft Azure: Azure Databricks, Synapse, Data Lake
- Amazon AWS: S3, Redshift, Glue
- Google Cloud Platform: BigQuery, GCS
- and much more.
BI & data source connection
- Power BI, Tableau, Qlik, Looker
- SAP BW/HANA, Snowflake, classic SQL DWHs
- and much more.
DevOps & MLOps
- GitHub Actions, Azure DevOps, CI/CD Pipelines
- Observability, testing, ML lifecycle management
Governance & Security
- Role-based access via Unity Catalog
- Data lineage, classification, masking
Use cases: Databricks
in practice
With Databricks, we realize scalable, integrated data solutions for a wide range of applications - industry-specific, cross-technology and production-ready.
Modern reporting with SAP and Power BI
Migration of SAP BW reporting lines to Databricks with seamless connection to Power BI.
Real-time analyses for operational processes
Building high-performance streaming architectures with Azure Event Hub and Delta Lake.
Production-related AI
with MLOps
Development and operation of ML pipelines for predictive maintenance and forecasting applications.
Central data control with Unity Catalog
Introduction of governance structures with automated lineage and access control.
Flexible architecture for complex system landscapes
Integration of Databricks in hybrid cloud and on-prem environments - secure, scalable and connectable.
Databricks offers
Databricks basic training
- For up to 10 participants from data analytics, engineering or science - without prior knowledge
- Can be held virtually or in-house (DACH region), scope: 2 × 4 hours
- Practical structure with learning labs, interactive exercises & real-life use cases
- Training content: Unity Catalog, Delta Live Tables, Dashboards, Workflows, GenAI & Model Lifecycle
- Completion with certificate of participation as proof of applied best practices on the Databricks platform
Databricks Introduction & Migration
- Structured introduction to Databricks - with strategy workshop, concept development and practical demo
- Individual migration concepts - transferring legacy systems such as SAP, Oracle or SQL to modern Databricks architectures
- Implementation as proof of concept - development, testing and validation of selected use cases
- Rollout in the organization - scaling, enablement and integration of production-ready solutions
- Flexibly combinable service packages - depending on the initial situation: introduction, migration or both can be used in combination
Databricks expertise with a focus on industry-specific requirements
Dataciders combines technological depth with industry-specific understanding. Unlike many generalists, we know the requirements in industry, financial services and healthcare - from regulatory requirements to operational challenges.
We don't think of Databricks in isolation. We link the platform specifically with systems such as Microsoft Azure, SAP BW or Snowflake, creating end-to-end data flows that deliver real added business value. Thanks to ready-made templates, proven best practices and technical toolkits, we quickly deliver stable and ready-to-use results - structured, efficient and scalable.
With Dataciders you have a reliable
reliable partner for the future.
Our Databricks certifications
Databricks & Microsoft Fabric: hybrid solutions with added value
For companies with Microsoft infrastructure, the combination of Databricks and Microsoft Fabric offers a powerful and flexible data architecture. It combines the scalability and computing power of Databricks with the analytics and self-service strengths of Microsoft Fabric. Ideal for organizations that:
- want to combine data platforms with Microsoft tools such as Power BI, Synapse or Azure
- Want to empower departments and IT together
- Governance, performance and business access must be combined
