Ataccama, a data management provider best known for its data quality (DQ) and master data management (MDM) tools for big data, today announces a new release of its Ataccama ONE platform, which the company says makes strong use of artificial intelligence (AI) . In the current corporate environment, data management and data management are increasing in importance, visibility and complexity, but they have historically had some baggage of boredom. AI – and automation in general – are thus competitive necessities for data management and data management, as they help customers remain data-driven and regulatory compliant as well as data leakage and infringement vigilant.
One platform, many modules
The Ataccama ONE platform contains modules for the above DQ and MDM functions (an interface to the former is depicted in the figure at the top of this post) as well as for data catalog, business glossary and management of business rules on the management side. Data management ONE sports modules for data integration, preparation, discovery and reference data management.
Ataccama compares its AI features to those found in autonomous vehicles, and actually uses the “self-propelled” moniker to describe the functionality. Instead of adding these self-driving features to each of ONE’s modules in a piecemeal way, Ataccama said it chose to add a central AI module, which in turn is used by each of the others. The AI Core module, as the company calls it, provides services for fingerprint / data classification, irregularity detection, domain detection, relationship detection and AI matching. Ataccama says it uses active learning technology and is built with explanatory AI as a basic principle.
Three pillars and a faith-out-of-the-way creed
The AI Core module is one of the three pillars of Ataccama’s self-propelled features. Another is metadata, which in Ataccama’s use of the term goes far beyond just database / table / data set schema information and also includes semantic details about the data. The third pillar is automatic enforcement policy management, which addresses access control and data storage, among other data management and control constraints.
Ataccama says that its self-propelled capabilities are based on the main principle of letting customers define the requirements (“what”) for functions such as data cataloging, quality, cleaning, deduping and MDM, while the system lets the system determine the implementation (“how”) to meet these requirements. However, it is important that representatives of the company also explained to me in a briefing that customers can apply any detail of the implementation manually if they want or prefer it. In other words, automation is there to support data servers, IT staff, data researchers and data engineers (as well as business executives and business analysts), but not to get in the way when they have a precise management / governance measure in mind.
Ataccama One Gen2 runs in Beta at certain customers. The company says the release will hit the General Availability (GA) in February 2021.