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.
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.”
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.
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.
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.
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.