Understanding Delta Lake

Data Management in Databricks

Smriti Mishra

Founder, NordData Insight

My Databricks journey

 

 

Healthcare scenario

The Delta Lake in Healthcare

• Delta Lake ensures organized, accurate, accessible data.
• Outperforms traditional data warehouses and lakes.
• Simplifies healthcare data management.
• Maintains data integrity and accessibility.

ACID Transactions

ACID Transactions

• ACID: Ensures data integrity and reliable, consistent processing

ACID Transactions

• ACID: Ensures data integrity and reliable, consistent processing
• Delta Lake ensures accurate handling of patient updates.
• It prevents incomplete records and data errors.
• Supports reliable data for patient safety and care.

Schema enforcement and evolution

• Ensures data integrity in patient care.
• Adapts as patient records change.
• Prevents workflow disruptions and data corruption.

Time travel feature

• Access previous versions of data for historical review
• Ensures accurate tracking of past treatments
• Importance of maintaining a comprehensive patient care history

Unified batch and streaming processing

• Delta Lake's support for both real-time monitoring and batch processing
• Reduces redundancy and processing complexity

Delta Lake architecture

• Overview of Delta Tables as secure electronic health records
• Transaction log ensures reliability and time travel capabilities
• Parquet files for quick access and analysis

Comparisons

• Data warehousing struggles with unstructured data
• Data lakes lack structure without management
• Delta Lake combines structure with flexibility, ideal for healthcare

¹ https://www.databricks.com/product/delta-sharing

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Data Management in Databricks