The DataAware Podcast
The DataAware Podcast
DataAware by Ascend is a community-focused podcast to discuss all things data engineering.
With a variety of guests from all facets of data engineering and associated teams, each DataAware episode will look in-depth at the role of data engineering and data teams, trends, best (and worst) practices, real world use cases, and more.
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In this episode, Sheel and Leslie had the chance to sit down with Shawn Azman, Head of Operations at Vidora, to chat about how organizations are moving forward with building out machine learning pipelines, overcoming common pitfalls, and overall, successfully operationalizing their machine learning practices.
In this episode, we sat down to chat through the surprising (and not so surprising) results from our 2021 DataAware Pulse Survey, which takes a look at how the data engineering landscape is evolving and how data teams are changing with it to meet growing organizational needs.
In this episode, Leslie chats with Ascend’s own Joe Stevens about some of the recent infrastructure changes to the Ascend Platform, how this helps streamline users’ data infrastructure, and more.
In this episode, Sean and Leslie chatted with James Campbell, CTO of Superconductive—the team behind Great Expectations, about some of the intricacies of data validation as well as what it’s like to build an engaged community in the data realm.
In this episode, Michael and Leslie dove in with Cyrus Facciano & Jared Langguth of X is Y, a New Zealand-based data consultancy, about the challenges that data teams—all the way up to the CDO—face in getting alignment on data, data strategy, and analytics outcomes.
In this episode, Sean and chatted with Miguel Alvarado, CTO at Lumiata, a company on the cutting edge of enabling ML & AI for healthcare organizations, about how data science is moving the needle in the healthcare industry, as well as what organizations should be looking for when it comes to AI & ML centric data teams.
In this episode, we learn from Harry’s data analyst William Knighting and Ascend.io’s Sheel Choksi 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.
In this episode, we chat with Sheel Choksi about his path to data engineering, and what he’s seen as the biggest regrets data engineers have as they’re building out their systems—as well as how to avoid those regrets.
In this episode, we chat with Jesse Anderson, managing director of the Big Data Institute and author of the new book Data Teams (available at datateams.io), about the growth and change of data teams. We chat about best (and worst) practices for how data engineers, analysts, and scientists can work together now and in the future.
In this episode, we sat down to chat about Ascend.io’s new Flex Code data connectors and how they will help organizations speed—and simplify—data ingest for Spark-based data systems.
In this inaugural episode, we chatted with Ascend.io’s founder and CEO, Sean Knapp, about the trends we’ve been seeing in the data engineering realm, as well as the shift the data engineering function has taken over the last several years.