Data Engineering Trends in 2025: Your Roadmap to Smarter Data Teams

Data teams are under more pressure than ever before, with demands skyrocketing and technology outpacing teams’ ability to adapt. Understanding how your team stacks up against these challenges is crucial—it could mean the difference between leading the charge and falling behind. Over the past five years, Ascend.io has conducted the industry-wide Pulse Survey to capture […]

2025 DataAware Pulse Survey

Download the 2025 Dataware Pulse Survey for insights on data engineering trends, best practices, and priorities of data teams.

Deploying AI to Enhance Data Quality and Reliability

Title card for a blog post entitled "Deploying AI to Enhance Data Quality". There is an estimated 7 Minute Read Time.

AI-driven data quality workflows deploy machine learning to automate data cleansing, detect anomalies, and validate data. Integrating AI into data workflows ensures reliable data and  enables smarter business decisions. Data quality is the backbone of successful data engineering projects. Poor data quality can lead to costly errors, misinformed decisions, and ultimately, a significant economic impact. In […]

Leveraging AI & Automation in Data Engineering: 4 Essential Frameworks

Data engineering is evolving rapidly, driven by advancements in AI and automation. As teams face increasing demands, the need for efficient and effective solutions has never been greater.  This article (based on the webinar below) explores how data engineering teams can leverage AI and automation to enhance productivity and tackle current challenges. We will explore […]

Ep 26 – AI Security Guidelines

AI security guidelines podcast episode cover

Are data pipelines a new security concern for LLM projects? Join Sean and Paul as they unpack the recent AI safety and security guidelines unveiled by the US and UK governments, endorsed by 16 other countries and dozens of top AI companies in Silicon Valley.

2023 DataAware Pulse Survey

2023 Pulse Survey Cover Image

Download the 2023 Dataware Pulse Survey for insights on data engineering trends, best practices, and priorities of data teams.