The DataAware Podcast

DataAware is not just a podcast — it’s a think tank for data professionals. From Data Engineers and Analytics Engineers to Chief Data Officers, we cater to those who don’t just follow trends but forge new paths in data engineering. Our episodes offer a blend of current insights and visionary discussions, focusing on innovations and out-of-the-box ideas shaping the future of data.

Join us for conversations that go beyond the now. DataAware is where today’s data professionals meet tomorrow’s industry breakthroughs. Be part of a community that leads, innovates, and transforms the world of data.

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Explore DataAware Podcast Episodes

In this episode, we do things a bit differently and chat with one of Ascend's lead engineers, Nandan Tammineedi, about his work helping develop the Ascend for Snowflake platform.
In this episode, we look at a foundational aspect of data engineering workloads—automation, including the confusion that frequently surrounds data automation and how some data teams can avoid the major pitfall of going too far too fast.
In this episode, we chat about one of the foundational principles of data engineering—data orchestration. What is it, who needs it, and just how data engineering organizations need it to evolve over the next few years.
In this episode, we chatted with Shawn Azman, Head of Operations at Vidora, about successfully operationalizing machine learning pipelines.
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.
We recently made a few significant upgrades to the infrastructure footprint that supports the Ascend.io environments our customers use.
In this episode, we 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, we dove in with Cyrus Facciano & Jared Langguth of X is Y 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, we chatted with Miguel Alvarado, CTO at Lumiata, 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 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.
In the latest episode of the DataAware podcast, Sean and I chatted with our own Sheel Choksi about his path to data engineering and what he’s learned along the way.
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.