Unifying Fragmented Data Ecosystems, Ascend.io Offers New Flexible Coding Options to Build Custom Data Connectors and Support for 40+ Connector Types PALO ALTO, Calif. – Dec. 17, 2020 – Ascend.io, the data engineering company, today announced significant advancements...
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...
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.
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 PALO ALTO, Calif. – July 23, 2020 – Ascend.io, the data engineering...
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
“A penny saved is a penny invested” — invested in the longevity of our companies, of our customers, and of our employees. Today we’re rolling out a number of initiatives to help our customers do more while spending less.
Through Ascend’s new, native integration for Looker, data teams can now reach beyond the data warehouse to directly connect, explore, and unify live data from data lakes, warehouses, and pipelines
Intelligent data storage layer managed by Ascend now accessible to external processing engines, notebooks, and more to extend usability across the ecosystem
A network of trusted, forward-leaning CIOs, CTOs, and CDOs that shape the transformation of companies through the democratization of data-driven insights
Declarative Pipeline Workflows, the first and only offering that pairs the flexibility of Pipelines-as-Code with the predictability of declarative data engineering
Intelligent data storage layer managed by Ascend now accessible to external processing engines, notebooks, and more to extend usability across the ecosystem
Combines the interactivity of data warehouses with the scale and flexibility of data pipelines for a seamless development experience
Data Engineers Create Continuously Optimized, Apache Spark-Based Pipelines With 85% Less Code
Ascend emerged from stealth to de-risk big data projects and accelerate digital transformations