Automated Data Catalog.

Achieve agile information governance

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Take control of your operational data

Gain end-to-end data lineage,
from source systems to consuming microservices 

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A data catalog that's always up to date

Discover, profile, organize,
and document me
ta data – automatically

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Turn data into a business asset

Provide data teams with the context they need to extract business value from data

Data catalo tools

Auto-discover your
meta data

Our data catalog tools automatically discover and visualize the meta data structure, and the relationships between its entities – for all of the data assets managed in the K2View Data Fabric.

The resulting data catalog is easy to navigate and search, enabling data teams to find and understand the datasets they need for the purpose of driving operational use cases.

Data catalog software

Go with the flow

The data catalog visually describes how an organization collects, transforms and stores its data inventory.

Due to its user-friendly UI, the data catalog software enables users to follow a data flow from its data source (table and column), to its target consuming microservice, thus providing full clarity and confidence in the company’s data model. 

For example, the catalog can assist a software engineer to identify the source systems of web service’s required output fields. 

Enterprise Data Catalog

Get the full picture

K2View's data catalog tools visualize a range of data entities, including: web services (and their output fields), interfaces, Digital Entities(schema), tables, columns, and more – and the relationships between them.

The relationships indicate the connections between the entities, and determine their hierarchy.  

The catalog can be easily updated to reflect data sources outside the scope of the K2View Data Fabric, and the catalog's data lineage structure can be easily exported in a standard format into 3rd party enterprise data catalog tools.

 

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Trust your source using our data catalog tools

K2View Data Catalog is automatically updated at all times, with every change to underlying sourcesconsuming web services, or anything in between

With data teams spending more than 80% of their time searching, preparing, and protecting data, they have very little time left to understand it, and put it to good use.

This is why a single, reliable, and always-up-to-date source of data is a mandate for today's professionals.