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Ensure your data is of high quality and well-managed with a strong data governance policy

Data governance is the practice of identifying important data across an organization, ensuring it is of high quality, and improving its value to the business. A data governance policy is a document that formally outlines how organizational data will be managed and controlled. A few common areas covered by data governance policies are: Data quality, Data availability, Data usability, Data integrity, and Data security.

Streamline your data processing and gain valuable insights faster with Azure Databricks.

Azure Databricks is the core processing component, ingesting raw streaming data from Azure Event Hubs and batch data from Azure Data Factory. Data scientists can use the platform for tasks such as data preparation, exploration, model preparation, and training. MLflow manages parameter, metric, and model tracking in data science code runs

Store and manage your data efficiently with Azure Data Lake Storage Gen2

Azure Data Lake Storage Gen2 is the primary storage component, where Data Factory loads raw batch data. Delta Lake forms the curated layer of the data lake, storing refined data in an open-source format.

Ensure the quality of your data with effective monitoring mechanisms.

Data monitoring is a category of oversight mechanisms that monitor and ensure quality on each data instance created, utilized, and maintained within an organization. Included in these mechanisms are processes for reviewing data to ensure its completeness, consistency, and accuracy, as well as security and validity.

Gain deeper insights from your data with Azure Synapse Analytics

Analytics: Azure Synapse Analytics is the analytics component, providing a seamless experience for data integration, enterprise data warehousing, and big data analytics.

Keep your sensitive information safe with strong data security governance.

Data security governance is a subset of data governance that deals specifically with protecting corporate data through defined data policies and processes. Data security governance establishes organizational expectations for keeping sensitive information safe and mitigating and reacting to any security threats. Data security governance can also help organizations comply with regulations such as GDPR and CCPA that require specific ways of storing, protecting, and interacting with users’ personal information.

Visualize your data in new ways and make informed decisions with Power BI.

Visualization: Power BI is the visualization component, allowing users to create interactive reports and dashboards to gain insights from their data.