Ensuring Data Quality For Data Lakehouse Medallion Architecture

The Significance of Data Quality in the World of Generative AI

Data Observability in Batch and Real-time

Real-time data observability catches issues before they…

Analyzing & Monitoring Data quality in Google BigQuery

BigQuery is Google’s fully managed, petabyte scale, low cost enterprise data warehouse for analytics and most often used for interactive ad-hoc queries of read-only datasets.

The Ultimate Guide to Evaluating Data Observability Tools

Are data teams using lineage effectively for Data Observability? Maybe not

Data Lineage is one of the most discussed topic today and while This article covers the applicability of data lineage in Data Observability. If you are specifically looking to understand lineage better…

The 12 Data Pipeline Metrics That Matter Most

Your data pipeline’s strength is in its metrics…

ML to supercharge data quality validation processes

Maintaining high data quality is imperative in the ever-expanding data landscape. Machine learning techniques step in, providing innovative solutions to enhance and automate data quality validation. This post delves into how machine…

Data Observability vs. Data Quality

Authored by Mona Rakibe, CEO/Co-Founder of Telmai

Data Lakehouses: An Overview of Modern Data Architecture

The swift growth of data and increasing analytical demands have pushed enterprises to seek solutions that can handle their data’s volume, latency, and reliability, which is essential for deriving business insights and guiding…