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Delta and Data Lake Solutions and Services

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Business challenges implementing Data Lake and Delta Lake

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Unsafe Writing

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

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Mismatch Schema

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

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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.

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No Metadata Management

Data lake doesn't provide metadata management functionality itself.

Development of Delta Lake and Data Lake

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Snapshot Isolation of Data

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

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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.

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Data Versioning

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

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Data Consistency

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

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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.

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ACID Properties

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

Serves Schema Migration and Metadata Catalog Management

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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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