Extra tags: Data Governancedata integration
Talend Data Catalog 8, an automated data catalogue with world-class, proactive data governance capabilities, is now available from Talend, a global leader in data integration and data governance. Talend Data Catalog 8 enables organisations to discover, organise, and share trusted data with a single, secure point of control. Talend provides new features such as personalised business modelling and machine learning-powered data classification and documentation with this release. The latest edition enables businesses of any size to consistently regulate data at scale and assure the data's health.
Many organisations have a long-standing distrust of data and a lack of awareness of where data is stored, regulations, and definitions. According to a recent survey, 60% of executives do not trust the data they use to make choices. Decision latency, productivity losses, and potential regulatory fines can all be reduced by having complete visibility and auditability into the data in use.
“Reliance on data has grown exponentially in recent years and businesses today need greater control and trust of their data to ensure it is healthy for decision making and operations,” said Daniel Mayer, Vice President, Product Management, Talend. “We’re excited to announce the availability of our newest Data Catalog release, which will help companies implement a proactive approach to governance, to accelerate productivity and help them quickly achieve value from their data.”
Part of the Talend Data Fabric platform, Talend Data Catalog 8 is built on a strong foundation of metadata management and data cataloguing capabilities. The solution helps data architects and governance specialists, in particular, to accelerate their productivity and work smarter to realise a faster time to value with data. New features to help businesses achieve greater data compliance and control include:
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Tailored business modelling: Define custom, flexible, and adaptable metamodels for any domain that accurately reflects business priorities and objectives. This capability prevents the bending of business rules to conform to off-the-shelf models that are only a partial fit, helping teams increase their overall business agility.
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Automated data classification: Monitor data stores automatically, use machine learning to classify data around important patterns, like compliance violations, and then proactively send alerts to data stewards. This ability to enable automatic compliance at scale from a single location improves productivity and simplifies API execution, increasing accountability, limiting risk, and avoiding unscalable alternatives like in-house processes or point solutions. Now, data professionals can spend less time manually managing the process of classification and more time helping the business use data to drive business outcomes.
Customised Objects & User Rules: Define and customise objects, including relationships between business objects/models and technical objects.
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Rules can be assigned to owners for activities, responsibilities, and assets. This capability reduces risk and enables the ability to export documentation and re-import it on a new object with similar name space, saving time and manual work and increasing overall productivity.
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Enhanced Lineage with Inference: Using secure API interfaces, export data lineage and transformation logic. This one-of-a-kind feature enables enterprises to comply with compliance obligations by collecting changes across the data life cycle and providing inference evidence.
