Zetaris Overview

The Zetaris Modern Lakehouse for AI, is a single converged view of all AI and data operations streamlining data management and  simplifying data processes.

By connecting to any data (structured, semi-structured and unstructured), anywhere, we deliver a Modern Lakehouse, that facilitates data integration, preparation and governance, reducing software complexity, and allowing businesses to accelerate their AI & Analytics projects, in the cloud or on-prem.

Structured Data

Structured data is prepared in a standardized format, such as columns and rows. Fairly straight forward to process through ANSI SQL and other basic analytic constructs. Common in transactional record keeping, customer profiling, and historical stores of record for ad-hoc reporting.

Examples: Relational Databases, Data Warehouses, CSV

Semi-structured Data 

Semi-structured data doesn't have the strict, predefined format of structured data but still has some organizational properties, such as tags or markers that help define the data's structure. It’s often more flexible and can accommodate varying types of data.

Examples: JSON, XML, NoSQL Databases,  Data Lakes (Parquet and Avro), Data Streams, REST APIs

Unstructured Data

Unstructured data does not have a predefined format nor organizational properties to decipher the contents.

Examples: PDFs, Images, Video, Audio