How To Future-Proof Your Data Pipelines
Why Future-Proofing Your Data Pipelines Matters Data has become the backbone of decision-making in businesses across the globe. The ability to harness and analyze data effectively can make or break a company’s competitive edge. But when data processes fail to match the increased demand for insights, organizations face bottlenecks and missed opportunities. Future-proofing involves designing […]
Beyond Technology: Organizational Changes Needed for Data Mesh Adoption
Explore the pivotal organizational changes necessary for successful implementation of the data mesh model in your business.
The Transformative Impact of AI on Data Engineering and Beyond
Discover the impact of AI on data engineering and how it is redefining roles, improving efficiency, and driving innovation.
The Post-Modern Data Stack: Boosting Productivity and Value
The ‘post-modern data stack’ aims to remedy the complexity and inefficiencies of the ‘modern data stack,’ enabling engineering teams to focus on creating value and improving productivity.
Why Analytics Engineers Are the New Must-Hire for Data Teams
Analytics engineers represent the pattern of “moving up the stack” and bringing data teams closer to business exposure and decisions.
6 Top Data Engineering Predictions for 2023
Sean Knapp predicts six data engineering trends for this year based on customer discussions and conversations with other leaders.
Evolution of the Cloud Data Platform: From Google to Ascend
Sean Knapp explores the evolution of the cloud data platform from his time at Google to Ascend to understand what’s happening in the data world today.
