Ascend Use Case
Accelerating BI & Analytics
Ascend.io cuts down the time it takes to ingest new data feeds into Business Intelligence and Analytics tools by 90%. As a single, flexible, and seamless ETLT platform, Ascend.io enables users to ingest data from anywhere, transform it using SQL, Python, Scala, or Java—depending on the business needs and user preference—before writing the transformed data feeds directly into the BI or visualization tool of your choice. Ascend makes building data pipelines truly self-service, so what used to take weeks or months of effort and trial-and-error, now takes minutes.
Ensure Data Quality
Easily explore and validate your data and create a validation component that will run every time new data appears.
Increased Flexibility
For ingesting, transforming, and using a variety of data feeds in your preferred analytics tool
Visualize Pipelines
Simplify complex queries into easy to understand sequential operations thru a modern DAG-based GUI
How it Works
- Connect directly to any source with the flex code data connectors and Ascend will automatically collect and persist the data
- Specify data transformation logic with SQL, Python, Java, or Scala
- Quickly and easily iterate on transformations and check output records and partition profiles at every step.
- Ascend automatically processes and aggregates new data to use in your preferred analytics tools
- Write the resulting data directly to a Looker, PowerBI, or other BI tools or write it directly to a data warehouse, blob store, and more.
What to Expect
- Simple and Adaptive Data Ingest: Ascend’s Flex Code Data Connectors deliver a simple, fast, and reusable way to connect to any data source that make ingesting new feeds a snap—even without deep technical expertise. Additionally, the Ascend Platform keeps data flowing by intelligently cascading schema changes with the ability to alert when breaking changes are detected. This simplicity enables data teams to dramatically speed how they explore and validate data before using it for analysis.
- Clear Pipeline Visualization: The Ascend Platform simplifies complex queries into easy-to-understand sequential operations through a modern DAG-based GUI. This provides useful metadata and state information at a single glance, meaning data analysts and engineers can quickly see, on a single pane of glass the entire pipeline and how the data is transformed.
- Runtime Orchestration: Ascend automatically provisions all the infrastructure, runs your code, and provides the inline interfaces to process all records through to eliminate the maintenance burden most data orchestration systems require. The system persists raw data and parses records per your logic; if you change the parsing function later, it reprocesses without having to refetch from the API.
