Accelerated cloud DWH projects with the Databricks Acceleration Framework
Accelerated cloud DWH projects with the Databricks Acceleration Framework
The Databricks Acceleration Framework is an innovative framework that significantly accelerates the setup and migration of cloud data warehouses. As part of our consulting approach, it ensures the smooth integration of data from a wide variety of sources, guarantees quality, and also lays the foundation for individual business logic. Our service helps you to simplify complex data landscapes, to design efficient processes, and to identify and rectify errors at an early stage. With its scalable architecture and a powerful metadata framework, the Databricks Acceleration Framework provides a reliable basis for your data strategy, allowing you to focus on business-critical transformations and decisions while we master the technical complexities for you.
Core components of the Databricks Acceleration Framework.
The Databricks Acceleration Framework’s modular design enables its targeted expansion, like integrating additional data sources or specific functionalities, keeping the framework flexible and future-proof.
Thanks to its flexible metadata framework, the Databricks Acceleration Framework adapts effortlessly to different projects. In many cases, simple metadata adjustments are all that’s needed to integrate new data sources – without extensive development work.
With its architecture based on Spark and Databricks, the Databricks Acceleration Framework also processes large volumes of data efficiently and reliably – perfect for the requirements of modern cloud environments.
The use of Databricks makes the framework compatible with all major cloud providers: AWS, Azure and GCP. This independence gives you maximum flexibility when choosing your infrastructure.
With ready-made concepts and scripts, the Databricks Acceleration Framework supports seamless deployments via CI/CD pipelines. A specially developed test framework ensures that loading and transformation processes run reliably and error-free.
Intelligent logging and error management mechanisms ensure transparency and help to identify and resolve problems quickly, guaranteeing smooth operation.
The Databricks Acceleration Framework is our powerful accelerator for setting up and migrating modern cloud data warehouses. With a flexible metadata framework, intelligent error management and robust processes, it ensures efficiency and consistency. It accelerates the integration of diverse data sources and creates a solid foundation for your individual business logic – so you can focus on what really matters: Your business results.
Gioel Amalfitano, a Bachelor in Computer Science, is Senior Consultant for Data Engineering at synvert. His focus is on Data Engineering with Databricks and Azure, as well as Business Intelligence with Power BI. As a Databricks Champion, he brings in-depth expertise in utilizing and implementing Databricks solutions. With experience in projects, particularly related to IFRS17 in the insurance industry, he ensures the development of robust data infrastructures that handle complex and high-volume data processes. As part of the synvert group, he strengthens their expertise in Data & Analytics.
Murtaza is a consultant at synvert and an expert in Azure, Databricks and software development with .NET and C#. He works on complex projects and supports customers in the development of technical and functional solutions. His technical expertise covers the areas of insurance and Industry 4.0.
He has in-depth knowledge of data engineering, machine learning and deep reinforcement learning and helps companies to efficiently implement modern cloud platforms and AI-based applications. He also has Databricks certification, which further underpins his expertise in dealing with big data and analytics.
Dr Alexander Fulst is a Senior Consultant at synvert with a passion for data engineering and DevOps and has three years of experience with Databricks. After completing his PhD in physics at the KATRIN experiment in astroparticle physics, Alexander Fulst switched to industry and spent the last three years building data pipelines and data warehouses for an insurance company.
Gioel Amalfitano, a Bachelor in Computer Science, is Senior Consultant for Data Engineering at synvert. His focus is on Data Engineering with Databricks and Azure, as well as Business Intelligence with Power BI. As a Databricks Cham...
Murtaza is a consultant at synvert and an expert in Azure, Databricks and software development with .NET and C#. He works on complex projects and supports customers in the development of technical and functional solutions. His tech...
Dr Alexander Fulst is a Senior Consultant at synvert with a passion for data engineering and DevOps and has three years of experience with Databricks. After completing his PhD in physics at the KATRIN experiment in astroparticle phys...
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