Data Quality, Data Transformation, Metadata and Snapshot

Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

JULY 20, 2023

Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake

Data Lake Analytics Snapshot Optimization

“You Complete Me,” said Data Lineage to DataOps Observability.

DataKitchen

JANUARY 23, 2023

It allows organizations to see how data is being used, where it is coming from, its quality, and how it is being transformed. DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data lineage is static and often lags by weeks or months.

Testing

Testing Data Governance Data Quality Data-driven

Data Leaders Brief

Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

“You Complete Me,” said Data Lineage to DataOps Observability.

Webinars

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