Whitepaper: An Assessment of Pipeline Orchestration Approaches
Learn why task-centric workflow automation becomes unmanageable over time and why data pipeline automation is the key to speed, efficiency, and operational scale.
Webinar: Intelligent Orchestration - The Key to Declarative Data Pipelines
In this webinar, we explore how applying the declarative approach to data pipelines results in 95% less code, 10x faster build times, automated maintenance, and more efficient pipelines… oh, and much happier data engineers.
Podcast: Shining A Light on Shadow IT In Data And Analytics
In this episode, founder of Ascend.io, Sean Knapp, and Co-Founder of Zonehaven, Charlie Crocker, share their experiences of working in and with companies that have dealt with shadow IT projects and the importance of enabling and empowering the use and exploration of data and analytics.
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This TDWI Best Practices Report examines experiences, practices, and technology trends that focus on identifying bottlenecks and latencies in the data’s life cycle, from sourcing and collection to delivery to users, applications, and AI programs for analysis,...
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Modern data pipelines run on some of today’s most advanced technologies, yet the process of building, scaling, and maintaining them is as challenging as ever. This is a familiar pattern found across the tech industry, as the innovation focus shifts from raw...
The combination of artificial intelligence and data pipelines opens remarkable new opportunities for data orchestration. The end result is a dynamic, automated paradigm for data movement, one that optimizes speed of delivery and overall accuracy. Bloor Group CEO, Eric...
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Reposted from: Building a reliable data platform is a neverending task. Even if you have a process that works for you and your business there can be unexpected events that require a change in your platform architecture. In this episode the head of data for Mayvenn...
Reposted from: As data engineers the health of our pipelines is our highest priority. Unfortunately, there are countless ways that our dataflows can break or degrade that have nothing to do with the business logic or data transformations that we write and maintain....