Ascend Data Transformation

Data Transformation

Quickly and easily transform data using 95% less code with declarative definitions written in SQL, Python, Scala, and Java.​

Eliminate the Traditional Burdens of Data Pipelines and
Build 10X Faster

Declarative Pipelines with Multi-Langauge Transforms

  • Design your pipelines with declarative definitions that require 95% less code and result in far less maintenance

  • Specify inputs, outputs, and data logic in SQL, Python, Scala, and Java specs

Full Featured SDK

  • Programmatically create and interact with Ascend components via SDK 

  • Integrate with code repositories such as Github

  • Build reusable components 

Interactive and Visual Pipeline Builder​

  • Visually navigate your live data pipelines, from source to sink, and everything in between

  • Trace lineage, preview data, and prototype changes in minutes instead of days

Queryable Pipelines

  • Treat any stage of any data pipeline as a queryable table

  • Quickly prototype new pipeline stages, or run ad-hoc queries against existing pipeline stages, all in a matter of seconds

  • Get notifications when the underlying data has changed

From Our Customers

Resources

The New Data Scale Challenge
From struggling with data volume and infrastructures to scaling data team capacity—what is the answer to increasing bandwidth?
Whitepaper
DataAware Podcast
With a variety of guests from all facets of data engineering and associated teams, episodes look in-depth at the role of data engineering and data teams, trends, best (and worst) practices, real world use cases, and more.
PODCAST
A Deep Dive Into Data Orchestration at Harry's
Learn how the Harry's data science team expedited ingesting, transforming, and delivering retail data feeds into a new, robust shared data model.
Video

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