Ascend for Data Analysts

Ascend for data Analysts

Iterate ETLT at Impossible Speeds
Build Smarter

Interact with Any Data, Anywhere

The Ascend Platform delivers native connections to common data sources along with the ability to write small Python snippets to bring in anything else. You can now apply analytics to JSON, AVRO, XML, and custom byte encoded data in parallel and even extract information from audio, documents, images by easily including ML/AI engines in the processing sequences.
Build Faster

Increase Productivity with Visual Data Pipelines

Simplify complex queries into easy-to-understand sequential operations thru a modern DAG-based GUI that provides useful meta-data and state information at a glance. You can now easily explore and validate your data and create a validation component that will run every time new data appears.
Build For the future

Level Up—With Your Data

No matter your level of technical skill, Ascend makes the most modern capabilities accessible to you instantly. Play with Python, execute Spark jobs, begin your DS/ML journey with Notebooks or MLLib—with no training required.

See what made the data analytics team at Harry’s say:
“The iteration and speed at which the analysts can take on projects were impossible to do before.”

Key Features

Achieve sophisticated ETLT with fully automated data lineage—in minutes.

Interactive & Visual

Easily answer questions about your data thru live, interactive lineage as well as all visualization of calculations and operations done to the data.

Adaptive

Keep data flowing by intelligently cascading schema changes to the data warehouse. Alert the data team with configurable levels of notifications when breaking changes are detected.

Powerful

Whether you need one pipeline or 50 or have a couple of data feeds or a couple thousand, the Ascend Platform scales up or down to meet your business requirements.

Smart

Ascend eliminates the friction of accessing and querying data that isn't in a relational database all while enabling you to combine ingest and transformation without complex SQL that is difficult to maintain and debug.

Interested in benefiting from more sophisticated ETLT?
Chat with one of our data experts.