Databricks Delta Lake Design for Big Data

Unified Data Processing

• Delta Lake allows seamless support for both batch and streaming data processing using a single data copy.
• This provides flexibility in handling various types of workloads without the need to duplicate data.

ACID Transactions

• It offers ACID (Atomicity, Consistency, Isolation, Durability) transaction capabilities, ensuring data consistency and reliability.
• This is crucial in scenarios involving concurrent data modifications or failures.

Data Versioning

• Delta Lake supports data versioning, allowing for "time travel."
• This feature lets users query historical versions of data, which is beneficial for audits, debugging, and reproducing analysis at a given point in time.

Scalable Metadata

• Handling large-scale datasets requires efficient metadata management.
• Delta Lake provides scalable and optimized metadata handling, ensuring fast queries even with massive data.

Delta Sharing

• Through Delta Sharing, organizations can securely share large datasets with external partners or other organizations using an open protocol.
• This feature ensures secure and controlled data collaboration.

Connector Ecosystem

• Delta Lake integrates with a broad ecosystem of tools like Flink, Presto, and Trino.
• It enables seamless data processing and querying across platforms.

• Delta Lake follows the Medallion Architecture, categorizing data into bronze (raw data), silver (cleaned data), and gold (aggregated or refined data) tiers.
• This approach streamlines data processing, improving data quality and availability as it moves through the tiers.