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.
Scroll to read our latest white papers, reports, and case studies.
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,...
Scroll to watch our latest webinars and tech talks on demand.
PALO ALTO, Calif. – Nov. 23, 2020 –- Ascend.io, the data engineering company, today announced a significant international expansion of the Ascend Partner Program with the addition of several key enterprise architecture advisory and data consultancy partners. The...
With teams using Ascend.io to automate an increasingly large number of their data pipelines, programatic creation of Ascend dataflows has become increasingly essential. For users eager familiar with Python and eager for programatic access to Ascend dataflows, we are excited to announce the release of our new Python SDK! This SDK sits on top of Ascend’s public API, and is dynamically generated based upon the Protocol Buffer and gRPC definitions of each and every component found within the Ascend platform.
The Ascend for Qubole integration enables data teams to create self-service data pipelines 7x faster with 95% less code, and reduces infrastructure costs by 50% or more with greater data processing efficiency.
Scroll to listen to our latest podcasts.
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...
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...
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...