How Steady Is Working with Ascend to Scale and Automate Data Workloads
Learn more from Jason Robinson, VP, Data Science & Engineering at Steady, about how organizations, like Steady, are moving into the future of scaling data teams and data workloads with Ascend.
Reading from a Single Source of Data Truth with the New York Post
With Ascend, the ability to rapidly iterate on ETL enabled the New York Post team to focus on the higher-level work that provided value across many business units without the need to manually transform dozens—if not hundreds—of distinct data sources.
Ep 9 – Streamlining Data Infrastructure with a new Single Cluster Footprint
We recently made a few significant upgrades to the infrastructure footprint that supports the Ascend.io environments our customers use.
Styling Data Pipelines for Analytics Success at Mayvenn
With increasing, disparate data streams, the Mayvenn analytics team set out to find a data orchestration solution that enabled them to handle the vast majority of data ingest and transformations while also delivering the ability to rapidly iterate on ETL without requiring help from the engineering team. This is what led the Mayvenn team to the Ascend Unified Data Engineering Platform.
Operationalize Machine Learning for Marketing and Product Teams Using Ascend and Vidora
This How-to video will provide you with an overview of how you can seamlessly ingest change data capture (CDC) data into the Ascend Platform for easy ETLT.
How To: Ingest CDC Data Into the Ascend Platform
This How-to video will provide you with an overview of how you can seamlessly ingest change data capture (CDC) data into the Ascend Platform for easy ETLT.
Ascend Tech Talk | Sneak Peek at the Ascend Platform Product Roadmap for February 2021
In this talk, you’ll hear Sean Knapp and Sheel Choksi discuss and demo the recent feature updates including the new Flex Code Data Connectors and the Python SDK, as well take a look at the new product updates that we have planned over the next few months.
How To: Ingest Kafka Event Data with Flex Code Data Connectors
This How-to video will provide you with an overview of how you can now quickly and easily ingest Kafka event data into the Ascend Unified Data Engineering Platform.
How To: Getting Started with Flex Code Data Connectors
This How-to video will provide you with an overview of the new Flex Code Data Connectors, including how to get started with your own connectors.
Ep 5 – Shaving off Time to Analysis at Harry’s
In the latest episode of the DataAware podcast, Sheel and Harry’s Data Analyst William Knighting discuss how the Harry’s data science team recently undertook an effort to expedite ingesting, transforming, and delivering new retail data feeds into a robust shared data model that connects all brand information across every retail delivery model.
How To: Connecting Ascend.io to Power BI via ODBC
This how-to will walk through how to set up an ODBC connection between Ascend and Power BI in cases when your dataset is too large to expose through the web connector.
Supercharging Time to Analysis at Harry’s
Harry’s head of analytics, Pooja Modi, and data analyst, William Knighting, spearheaded a new initiative to find a more powerful solution to expedite ingesting, transforming, and delivering data feeds to Looker in a manner that correlates brand information across functions. With these criteria in mind, the Harry’s data team found The Ascend Unified Data Engineering Platform.
