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Today, companies generate enormous amounts of structured and unstructured data. The challenge is not only to collect this data but also to process, integrate, and make it usable for analytics and AI efficiently.
The Databricks Lakehouse Platform combines the flexibility of a data lake with the reliability of a data warehouse. This creates a powerful, scalable architecture for data engineering, analytics, and machine learning—all within a single integrated environment.
Databricks unifies big data, streaming, analytics, and AI in a single platform—ideal for companies with complex data landscapes, high performance requirements, or real-time use cases.
Novalytica is an official Databricks implementation partner and supports clients in implementing Databricks.
We analyze your existing data landscape, clarify requirements, and develop an appropriate target architecture for a Databricks-based platform. This includes data processes, governance, responsibilities, and optimal use of the Lakehouse architecture.
We set up the Lakehouse in Databricks, create data models, and structure the necessary data tables. We focus on scalability, reusability, and a robust foundation for data engineering, analytics, and machine learning.
We develop ETL and ELT pipelines, integrate relevant cloud and on-premises sources, and automate data flows using technologies such as Apache Spark, Delta Live Tables, and Auto Loader. This ensures that your data is current, reliable, and consistently available.
We support you in connecting Power BI, creating interactive reports, and implementing standardized semantic models. Training, documentation, and structured handover processes ensure that your team can independently use and further develop the platform.
for large data volumes and high performance
for engineering, analytics, and machine learning
for data quality and governance
thanks to collaboration and automation
for advanced AI and big data scenarios
Full integration through Azure Databricks
Databricks is one of the most powerful platforms for data-driven organizations, combining the benefits of data lakes and data warehouses in a single Lakehouse architecture. The platform offers:
Databricks helps companies simplify complex data landscapes and build robust processes for analytics, machine learning, and AI.
Our guiding principle is: as simple as possible, as complex as necessary.
Depending on maturity, data volume, and objectives, we develop an architecture that fits your exact requirements. Typical components include:
Together, we define an architecture that is both powerful and operationally efficient.
Yes. Databricks can be used, among others, within the Azure environment. Azure Databricks is a service jointly developed by Microsoft and Databricks, fully integrated into Azure. The platform runs directly within your Azure subscription and leverages existing security and governance mechanisms such as Azure Active Directory, Managed Identities, Key Vault, or network isolation via virtual networks. This means you do not need separate infrastructure, and all data, access, and permissions are managed through your familiar Azure setup. In addition to Azure, versions for AWS and Google Cloud also exist, but for companies focused on Microsoft, Azure Databricks is usually the preferred choice.
Databricks and Microsoft Fabric focus on different areas, although both are modern data platforms. Databricks excels in data-intensive workloads, complex data engineering pipelines, and machine learning processes. The platform offers a powerful Spark engine, extensive notebook environments for data scientists, and features such as MLflow and the Feature Store. It is particularly suitable for organizations that process large data volumes, run advanced ML models, or have an engineering-driven approach.
Microsoft Fabric, on the other hand, is a fully integrated end-to-end platform that combines data integration, storage, analytics, governance-ready data models, and business intelligence in a single environment. Its operation is somewhat simpler, as Fabric is provided as a SaaS solution and is deeply integrated with Power BI, Microsoft 365, and Teams. Fabric is particularly suitable for companies seeking a consistent platform for BI, reporting, and analytics, or those already heavily embedded in the Microsoft ecosystem.
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