Data Architecture

Explore the world of Microservices Architecture, its key features, advantages, and its role in a data lakehouse environment.

Understand the fundamentals of Data Warehouse Architecture, its benefits, limitations, and role in data lakehouse environments.

Explore Data Warehouse Partitioning, its benefits, and integration with Data Lakehouse environments for optimal data processing and analytics.

Explore the role of Scalability in data processing and analytics and how it integrates with a data lakehouse environment.

Discover the benefits and limitations of Global Schema in data processing and analytics, and its role in a data lakehouse environment.

Learn about Interoperability, its advantages in data processing and analytics, and its role in a data lakehouse environment.

Data Mesh is a modern approach to data architecture that aims to overcome the challenges of centralized data processing and analytics.

Data Lake Federation is the process of combining multiple data lakes into a single logical data source for improved data processing and analytics.

Data Lake Endpoints is a feature that enables efficient and optimized data processing and analytics in a data lakehouse environment.

Exploratory Zone is a powerful feature of Dremio that enables businesses to optimize data processing and analytics by providing a centralized environment for data exploration and experimentation.

Curated Data Zone is a centralized and organized repository of high-quality data used for data processing and analytics.

Structured Zone is a data storage and processing framework that combines structured and semi-structured data in one optimized environment.

Raw Data Zone is a data storage and processing area where organizations can store and access their raw data for analysis and transformation.

Vertical Scaling is the process of increasing the computing power and resources of a single server or machine.

Active Data Warehousing is a modern approach that combines traditional data warehousing with real-time data processing and analytics.