Data catalogs as enablers for software certification based on data intelligence
Automatic Data Discovery
Discovery is at the core of data intelligence, insight, and analysis — and needs to be both capable and automated in order to successfully address the volume and type of data that organizations collect. Effective and sustainable privacy, security, and governance programs require discovery in-depth: empowering organizations to scratch more than just the surface of their data. That means not only finding and identifying more types of sensitive and personal data with greater accuracy, but being able to apply context, insight, and perspective to that data — which then helps inform policy and controls. It’s no longer enough only to be able to identify regular expressions and common types of sensitive data (like credit card numbers or social security identifiers). Privacy regulations like the CCPA and GDPR have transformed the very definition of personal data — extending it to a much broader set of data, taking into consideration things like geolocation, friendly names, online activity, and more. Unlike earlier regulations, today’s data privacy initiatives focus on data that can be related to an individual, which means that data discovery solutions need to be able to identify personal data not just by type, but from contextual clues and relationships to other data points. Furthermore, organizations are now responsible for not only protecting that data, but monitoring and reporting on whose information it is, where it came from, and where it’s going. Privacy-centric data discovery (a must for data privacy and cybersecurity in today’s environment) requires a multi-pronged strategy to identify, classify, correlate and catalog all types of sensitive & personal data in an organization — and that strategy starts with automatic discovery.
What is a Data Catalog
Data Catalog is the primary tool for organizing the thousands or millions of an organization’s data sets per business need. With data catalogs, users can search for specific data and understand its context and flow. Data catalogs are the core of any data management strategy; they enable data-driven decision making and are often essential for regulatory compliance. For example, only with a data catalog, large organizations can comply with GDPR requirements such as the ability the find and delete all instances of specific customer’s information within a short period of time.
What is data Linage
Data lineage traces the origins, movements, and joins of your data to provide insight into its quality. Data lineage tools often use a graphical interface to show the data’s journey, from inception to how it’s used (ETL, databases, business intelligence, etc.); its dependencies, to where it’s joined with other data, to whether or not it has been changed or updated. Data lineage tools give you more control over your data by allowing error tracking and adjustments when needed. Also, these tools can facilitate process changes, metadata management, self-service analytics, and data governance.
There are many players in the space of metadata management. The following are a few leading solutions that provide a complete automated solution for in-depth data discovery, classification, correlation, catalog, and metadata visualization for enterprise data at a large scale.
Software certification is never complete without analyzing its real behavior with respect to data. Modern intelligent data catalogs perform real-time in-depth analytics of software data operations and, as such, should be used as are a vital component of the certification process.