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Databrickls Lakehouse & Well Architect Notion

Let's quickly learn about Databricks, Lakehouse architecture and their integration with cloud service providers:


What is Databricks?

Databricks is a cloud-based data engineering platform that provides a unified analytics platform for data engineering, data science and data analytics. It's built on top of Apache Spark and supports various data sources, processing engines and data science frameworks.


What is Lakehouse Architecture?

Lakehouse architecture is a modern data architecture that combines the benefits of data lakes and data warehouses. It provides a centralized repository for storing and managing data in its raw, unprocessed form, while also supporting ACID transactions, schema enforcement and data governance.


Key components of Lakehouse architecture:

Data Lake: Stores raw, unprocessed data.

Data Warehouse: Supports processed and curated data for analytics.

Metadata Management: Tracks data lineage, schema and permissions.

Data Governance: Ensures data quality, security and compliance.

Databricks and Lakehouse Architecture

Databricks implements Lakehouse architecture through its platform, providing:

Delta Lake: An open-source storage format that supports ACID transactions and data governance.

Databricks File System (DBFS): A scalable, secure storage solution.

Apache Spark: Enables data processing, analytics and machine learning.




Integration with Cloud Service Providers

Databricks supports integration with major cloud providers:


AWS




AWS Integration: Databricks is available on AWS Marketplace.

AWS S3: Seamlessly integrates with S3 for data storage.

AWS IAM: Supports IAM roles for secure authentication.


Azure




Azure Databricks: A first-party service within Azure.

Azure Blob Storage: Integrates with Blob Storage for data storage.

Azure Active Directory: Supports Azure AD for authentication.


GCP




GCP Marketplace: Databricks is available on GCP Marketplace.

Google Cloud Storage: Integrates with Cloud Storage for data storage.

Google Cloud IAM: Supports Cloud IAM for secure authentication.


Benefits


Unified analytics platform

Scalable and secure data storage

Simplified data governance and compliance

Integration with popular cloud providers

Support for various data science frameworks


Use Cases


Data warehousing and business intelligence

Data science and machine learning

Real-time analytics and streaming data

Cloud data migration and integration

Data governance and compliance





All images used are credited to Databricks.

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