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In this episode, Sean and I talk with Jon Saltzman about all things data lineage and its importance at every step of the data pipeline. … Read More
In this episode, we go back to the foundations of data engineering and data pipelines with a deep dive into data ingest. … Read More
In this episode, we discuss the concept of accidental ransomware—or when a team is slowed down by the burden of managing and maintaining commoditized software. … Read More
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. … Read More
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. … Read More
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. … Read More
In this episode, we chatted with Shawn Azman, Head of Operations at Vidora, about successfully operationalizing machine learning pipelines. … Read More
We recently made a few significant upgrades to the infrastructure footprint that supports the Ascend.io environments our customers use. … Read More
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. … Read More
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. … Read More
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. … Read More
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
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