Remove Data Governance Remove Data Processing Remove Enterprise Remove Metadata
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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.

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How Data Governance Protects Sensitive Data

erwin

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

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Data governance beyond SDX: Adding third party assets to Apache Atlas

Cloudera

While Cloudera Data Platform (CDP) already supports the entire data lifecycle from ‘Edge to AI’, we at Cloudera are fully aware that enterprises have more systems outside of CDP. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

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Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Data Governance.

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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

This approach promotes efficiency, flexibility, and scalability, enabling large enterprises to meet their evolving needs and achieve their goals. This approach allows the team to process the raw data extracted from Account A to Account B, which is dedicated for data handling tasks. secretsmanager ).

Metadata 101
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Providing fine-grained, trusted access to enterprise datasets with Okera and Domino

Domino Data Lab

Combining the power of Domino Data Labs with Okera, your data scientists only get access to the columns, rows, and cells allowed, easily removing or redacting sensitive data such as PII and PHI not relevant to training models. For the compliance team, the combination of Okera and Domino Data Lab is extremely powerful.

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Alation Accelerates Growth and Global Impact — and Welcomes 2 New Leaders

Alation

The CDO of The Very Group, Steve Pimblett, is an Alation champion who’s overseen incredible momentum around data use within his own organisation. This multi-brand online retailer hosts thousands of products for sale on the internet and collects millions of bits and bytes of data across customer touchpoints each day.

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