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DataOps
DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.
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Duke MIDS: Data Engineering and DataOps Course
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Updated
Jun 28, 2023 - HTML
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
bigquery
snowflake
data-warehouse
dataops
data-analysis
redshift
dbt
data-pipelines
data-pipeline
lineage
data-governance
data-lineage
analytics-engineer
dbt-packages
data-observability
data-reliability
dbt-artifacts
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Updated
Jul 16, 2024 - HTML