Why Data Quality Should Start At The Beginning, Not The End

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...
dbta

Building Modern Data Pipelines Using dbt—Tips and Tricks

Earlier this year, I had the privilege of serving on the organizing committee for the DataTune conference in my hometown of Nashville, Tenn. Unlike many database-specific or platform-specific ...
Yahoo Finance

Data Pipeline Tools Market to Surpass USD 66.18 Billion by 2033, Driven by Rising Data Volumes and Real-Time Processing Needs | SNS Insider

Austin, Dec. 04, 2025 (GLOBE NEWSWIRE) -- The global Data Pipeline Tools Market size was valued at USD 13.82 billion in 2025E and is expected to reach USD 66.18 billion by 2033, growing at a CAGR of ...
Forbes

Why Test Data Management Is The Most Overlooked Part Of Quality Assurance

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...
VentureBeat

Databricks open-sources declarative ETL framework powering 90% faster pipeline builds

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...