DATABRICKS: THE DATA-INTELLIGENCE-PLATTFORM
Imagine merging the flexibility of a Data Lake with the power of a Data Warehouse into a single, cohesive system. This is precisely what Databricks' Lakehouse architecture offers. By blending the finest attributes of both realms, it creates a unified platform that seamlessly integrates data, analytics, and AI.
Why we choose Databricks
Unified Data Analytics
Effortless integration, processing, and analysis of both structured and unstructured data.
Data Governance
Detailed access control, robust data encryption, compliance management, and metadata oversight.
Open Source and Open Standards
Freedom from vendor lock-in, leveraging the strengths of established open-source technologies.
Skalierbarkeit and Performance
Enhanced performance and minimal total cost of ownership across all data platforms and applications.
»The Lakehouse paradigm provides a robust technological foundation and catalyst for innovative AI-driven use cases.«
Senior Consultant at Turbine Kreuzberg
Databricks: GenAI-Pioneer
Databricks is built on the Lakehouse architecture, which unites the best aspects of Data Lakes and Data Warehouses. This translates to reduced costs, improved governance, and expedited implementation of data and AI initiatives. By dismantling data silos, Databricks simplifies your data ecosystem, offering a unified view of your information.
How Databricks works
- Data Integration and Storage: Databricks facilitates seamless data integration and storage from diverse sources. The platform supports both batch and streaming data, providing tools for data cleaning and transformation.
- Data Processing and Analysis: Harness powerful open-source technologies like Apache Spark and Delta Lake for comprehensive data processing and analysis. Databricks offers a scalable environment tailored to your needs.
- Data Quality: Unity Catalog delivers a cohesive view of all data within Databricks, encompassing Data Lakes, Data Warehouses, and other sources. The catalog enables users to locate and explore data objects, enhancing data discovery and utilization.
- Machine Learning and AI: With integrated tools such as MLflow, Databricks supports the full lifecycle of machine learning models, from development through deployment.
What Databricks achieves
Join over 10,000 global organizations that are already solving their toughest data challenges with Databricks.
Optimize Costs, Increase ROI
Through the Databricks Data Intelligence Platform, we assist our clients in realizing an average ROI of 482%, with a payback period of merely four months.
Get Better Answers from Your Data
At Turbine Kreuzberg, we leverage Databricks to unify data, AI, and governance silos on a single platform. This democratizes your data, empowering users to swiftly extract valuable insights.
Deliver GenAI
With Databricks, we seamlessly integrate GenAI models with your unique data, providing you with a lasting competitive edge.
Minimize Governance and Security Risks
We enforce consistent policies across all your data and workloads with Databricks, gaining comprehensive insights into data lineage. This ensures you always know the origin, destination, and usage of your data, from BI to AI.
Features
- Scalable and optimized performance
- Integration of Apache Spark
- Delta Lake for transactional integrity
- Machine learning capabilities
- Support for batch and streaming data
- Integration of structured and unstructured data
- Visual notebooks for analysis
- Collaborative notebook development
- Delta Sharing for secure data exchange
- Support for all major cloud providers
Ready for more?
Let's talk about ideas, challenges, needs, and solutions.
Anja Schröder
Senior Consultant
anja.schroeder@turbinekreuzberg.com
+49 151 52098927