Delta and Data
Lake

Store data at a place that is
cost-effective

Unsafe Writing Icon

Unsafe Writing

In case, if a big ETL job fails, then data was
written partially or not written at all.

Mismatch Schema icon

Mismatch Schema

In case the data coming into the lake changes
then there will be compatibility issues.

Data versioning

Data Versioning

No Data Versioning is provided by the data lake, due to which we can't go back to the previous version if required.

No Metadata Management

No Metadata Management

Data lake doesn't provide metadata management functionality itself.

As a result of using Delta lakes,
we have consistent data

Snapshot Isolation Icon

Snapshot Isolation of Data

It helps concurrent read/write operations and enables efficient CRUD and rollback capabilities.

Faster Insights Icon

Schema Evolution

It has the functionality to upgrade the schema of the table according to need or change the schema of data coming in as required.

Data Versioning  Icon

Data Versioning

Data stored in the lake is versioned and we can go back to the previous version if required.

Data Consistency Icon

Data Consistency

Data consistency is fulfilled, As there is functionality to have concurrent jobs writing and reading to/from the same data.

Metadata Handling Icon

Metadata Handling

It enables us to keep track of the order of data and ultimately which helps in making Data lineage using external tools like Atlas. 

ACID Properties Icon

ACID Properties

Delta lake fulfills the ACID properties, which means there is no problem or corrupted data.

Serves Schema Migration and Metadata catalog management

Delta and Data Lake Solution Image
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Serves Schema Migration and Metadata catalog management

ACID transaction: Delta lake fulfills the ACID properties, which means there is no problem or corrupted data.

Consistent data when mixing streaming and batch:  If we do changes in business logic, we can assure that the data is consistent in both sinks.

Data versioning: Delta lake provide us with the functionality of versioning. Data is stored and versions of the same are created. 

Metadata handling: With Delta, we can use the transaction log users to see metadata about all the changes that were applied to the data.

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