“How HNI Drives Manufacturing Digital Transformation with Data Pipelines“
HNI Corporation is a US$2.2B workplace furnishings and hearth provider, with 19 distinct brands and global manufacturing sites. HNI is driving digital transformation of their business with data. Learn how their decision sciences team continually improves business operations with the use of data, analytics, and machine learning.
October 13th & 14th
Our CEO & Founder Sean Knapp will be a headline speaker at the summit! Register now to hear his talk on “Declarative Pipelines & Intelligent Orchestration - Data’s Missing Link”
To increase bandwidth and support overburdened teams, 89% of Data Scientists, Data Engineers, and Enterprise Architects currently use or plan to adopt automation, low-code, or no-code technologies.
“Intelligent Orchestration: the Key to Declarative Data Pipelines”
CEO & Founder Sean Knapp presents a deep dive on the differences between imperative and declarative pipeline orchestration.
“HNI Corporation Taps Ascend.io to Fuel Operational Analytics”
The Ascend Unified Data Engineering Platform Enables HNI to Build Fully Automated Pipelines to Focus 100% of Its Data Team’s Efforts on Analysis and Driving Insights
Unified Data Engineering Platform
Being a Data Engineer just got a whole lot better
Leverage declarative configurations to build data pipelines with 95% less code. Iterate, test, and productionize with no disruptions or downtime.
“With Ascend, more people can build sophisticated pipelines to an extent I’d never have believed was possible.”
Add, remove, and edit data sets and logic in minutes. Ascend tracks full data lineage, backfilling and propagating changes automatically.
“To get a new data source in or update an existing one has gone from 1-2 days worth of work, down to less than an hour.”
Ascend continuously monitors for changes to code and data, automatically keeping your pipelines up-to-date and keeping you from getting paged at 3am.
“I don’t need to worry about data coming through the pipeline any more. New data will show up and get pushed where it needs to go.”
Accelerating Prototype to Production with
Advanced Data Engineering Capabilities
Declarative Pipeline Builder
Focus on what you want to do with your data, not how to do it. Describe your data inputs, transforms, and outputs in compact Python, SQL, PySpark, and YAML. Every stage you build is visualized so you can quickly explore, test and iterate without having to sift through mountains of code
Autonomous Pipeline Engine
Works behind the scenes to dynamically generate and optimize autonomous data pipelines that adapt to changes in data, code, and environment. Ascend’s DataAware™ intelligence ensures the same code is never run on the same data twice, eliminating unnecessary work, accelerating pipelines, and optimizing your compute costs.
Structured Data Lake
Dynamically synchronizes your data lake with the data pipelines running against it, guaranteeing data integrity, deduplicating redundant data and queries, and intelligently backfilling data on logic changes. Tap into intermediate data sets for any stage of any pipeline, and connect to your preferred processing engine or notebook.
Interactive Data Pipelines
Combine the scalability of data pipelines with the explorability of data warehouses. Explore, profile, and prototype data in Ascend, without disrupting the pipeline development process. Query any stage of your data pipelines like tables in a warehouse. Instantly productionize those queries into new pipeline stages with no additional code or configuration.
Talk to a Data Engineer
Grab time with one of our data engineers to get a live demo of Ascend. Learn how your team can build 10x faster on the Unified Data Engineering Platform.
The first Data Engineering platform that understands your data
Impossible to do with any other system, the built-in DataAware™ intelligence layer observes, understands and tracks every piece of data to dynamically generate data pipelines that run 20% more efficiently, with fully integrated lineage tracking, auditability, and governance.