Audacy Shifts to Intelligent Data Pipelines to Accelerate Highly-Targeted Audience Growth
Discover why Audacy selected Ascend to deliver new data products and station-specific insights 10x faster than with multiple toolsets.
How Automation Delivers More Business Value | Partner Webinar Series
In this installment of the Ascend partner webinar series we talk with Cyrus Facciano and Jared Langguth, the principals of X is Y, about their secret sauce to helping major enterprises create business value with technology and automation.
Be Power Selects Ascend.io to Supercharge Data Engineering Velocity
Milan-based Electric Mobility Company Leverages the Ascend Platform for an 80% Reduction in Time Spent Building and Managing End-to-End Data Pipelines
How Steady Is Working with Ascend to Scale and Automate Data Workloads
Learn more from Jason Robinson, VP, Data Science & Engineering at Steady, about how organizations, like Steady, are moving into the future of scaling data teams and data workloads with Ascend.
Reading from a Single Source of Data Truth with the New York Post
With Ascend, the ability to rapidly iterate on ETL enabled the New York Post team to focus on the higher-level work that provided value across many business units without the need to manually transform dozens—if not hundreds—of distinct data sources.
The New Data Scale Challenge
Results from the 2021 DataAware Pulse Survey find that with the need for data products on the rise, teams struggle to keep pace.
Styling Data Pipelines for Analytics Success at Mayvenn
With increasing, disparate data streams, the Mayvenn analytics team set out to find a data orchestration solution that enabled them to handle the vast majority of data ingest and transformations while also delivering the ability to rapidly iterate on ETL without requiring help from the engineering team. This is what led the Mayvenn team to the Ascend Unified Data Engineering Platform.
Ascend Tech Talk | Sneak Peek at the Ascend Platform Product Roadmap for February 2021
In this talk, you’ll hear Sean Knapp and Sheel Choksi discuss and demo the recent feature updates including the new Flex Code Data Connectors and the Python SDK, as well take a look at the new product updates that we have planned over the next few months.
Supercharging Time to Analysis at Harry’s
Harry’s head of analytics, Pooja Modi, and data analyst, William Knighting, spearheaded a new initiative to find a more powerful solution to expedite ingesting, transforming, and delivering data feeds to Looker in a manner that correlates brand information across functions. With these criteria in mind, the Harry’s data team found The Ascend Unified Data Engineering Platform.
GigaOm Webinar | Data Pipeline Automation & Dynamic Intelligence
Data pipelines are a reality for most organizations but they can be operationally brittle. However, it doesn’t have to be that way. Advances in machine learning can take pipeline automation […]
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. Read below on how their decision sciences team continually improves business operations with the use of data, analytics, and machine learning.
Data Engineering Podcast | Replatforming Production Dataflows
