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.
Modernizing Your Data Management Strategy for the AI Era
Deploying AI to Enhance Data Quality and Reliability

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 […]
The Symbiotic Relationship Between AI and Data Engineering

Explore the relationship between AI and data engineering: How do they impact each other, and what does the future of their collaboration look like?
AI Data Platform: Key Requirements for Fueling AI Initiatives

Unlock AI’s potential with the right data platform: Explore AI data platform requirements, cloud capabilities, and automation for innovation.
AI Implementation: The Roadmap to Leveraging AI in Your Organization

Explore the framework to set up a robust AI ecosystem and the key considerations for an effective AI implementation strategy.
Ep 26 – AI Security Guidelines

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.
7 AI Use Cases: Where to Start Leveraging AI in Your Enterprise

Explore practical AI use cases for enterprises, including real-world examples and strategies for successful AI integration.
The Chief AI Officer: Avoid The Trap of Conway’s Law

Explore the crucial role of the Chief AI Officer (CAIO) in guiding businesses through AI’s transformative impact and avoiding Conway’s law pitfalls.
2023 DataAware Pulse Survey

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