What is a Database Schema? A database schema, or DB schema, is an abstract design representing how your data is stored in a database. Database schemas can be visually represented using schema diagrams, such as the one below: A database…
Key Takeaways from 2024
Learn how AI is transforming document processing and delivering near-instant ROI to enterprises across various sectors.
Category: Type
- Blog
Data Provenance vs. Data Lineage: Key Differences
Data Provenance vs. Data Lineage Two related concepts often come up when data teams work on data governance: data provenance and data lineage. While they may seem similar at first glance, there are fundamental differences between the two concepts. Data…
- Blog
ANSI X12 vs EDIFACT: Key Differences
Electronic Data Interchange (EDI) is a popular communication method that enterprises use to exchange information accurately and quickly with trading partners. EDI transmits data almost instantaneously — serving as a fast and efficient mode for exchanging business documents. ANSI X12…
- Blog
What is Data Observability? A Complete Guide
What is Data Observability? Data observability is a process that actively monitors an organization’s data for accuracy, health, and usefulness. It is the ability of an organization to have comprehensive visibility over its entire data landscape, including data pipelines, infrastructure,…
- Blog
Exploring Data Provenance: Ensuring Data Integrity and Authenticity
What is Data Provenance? Data provenance is a method of creating a documented trail that accounts for data’s origin, creation, movement, and dissemination. It involves storing the ownership and process history of data objects to answer questions like, “When was…