Data Lakehouse
A Data Lakehouse is a modern data architecture that combines the best features of data lakes and data warehouses, providing the scalability and flexibility of a data lake, with the structure and performance of a data warehouse
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data lakehouse
What is a Data Lakehouse?
A Data Lakehouse is a modern data architecture that combines the best features of data lakes and data warehouses. It provides the scalability and flexibility of a data lake, where raw data from various sources can be stored, alongside the structure and performance of a data warehouse, which allows for analytics and reporting on structured data.
Key Features
Unified Storage
Both Databricks and Microsoft Fabric support unified storage of structured, semi-structured, and unstructured data. Whether you’re handling large datasets from databases, log files, images, or IoT data, you can seamlessly store and analyze it within a single platform.
ACID Transaction Support
Databricks‘ Delta Lake and Microsoft Fabric offer ACID transactions, ensuring data consistency and reliability, even when there are multiple concurrent users or processes. This guarantees that data integrity is maintained during complex operations like merges, updates, and deletes.
Separation of Storage and Compute
Both Databricks and Microsoft Fabric provide a clear separation of storage and compute. This allows for independent scaling of these resources, optimizing performance and cost.
Governance & Security
Together, Microsoft Fabric and Databricks provide a unified governance framework that not only safeguards your data but also supports detailed monitoring and compliance reporting. This integrated approach ensures that your data lakehouse remains both agile and secure, meeting the rigorous demands of today’s regulatory environments.
Support for Batch and Streaming Data
Both platforms offer robust support for batch and streaming data processing. providing seamless handling of both real-time and historical data, enabling flexible and comprehensive data workflows.
Machine Learning and AI Integration
Databricks is renowned for its native support for machine learning and AI, enabling data scientists to develop, train, and deploy models directly within the platform using tools like MLflow. Similarly, Microsoft Fabric integrates Azure Machine Learning, making it easy to build and operate ML models within the data lakehouse environment.
data Lakehouse
Lakehouse at Speed and Scale
With our Lakehouse Accelerator – Velocity – we streamline and simplify the complex development of a robust Data Lakehouse solution. By bundling our patterns, technical expertise, and leveraging all the benefits of industry-leading platforms like Microsoft Fabric and Databricks, we ensure that your business benefits from a future-proof, high-performance data architecture—fast.
Ready to Modernize Your Data Platform?
Contact us today to discover how our Data Lakehouse solutions can benefit you. Let’s build the future of your data architecture together!
