In this episode we speak with Justin Borgman Chairman & CEO at Starburst, which is based on open source Trino (formerly PrestoSQL) and was recently… Read More »The Analytics Engine for All Your Data with Justin Borgman @ Starburst
In this episode we speak with Chad Sanderson head of data and early stage startup advisor focused on data innovation @ Convoy and uncover their… Read More »Implementing Amundsen @ Convoy with Chad Sanderson
In this episode of Building The Backend we hear from Prukalpa Sankar – Co-founder of Atlan, where we talk all about data quality/governance, common issues… Read More »The Keys to Good Data Quality With Prukalpa Sankar from Atlan
Gleb Mezhanskiy is the CEO & Co-founder of Datafold – a data observability platform that helps companies reduce their data quality incidents and grow through… Read More »How To Effectively Reduce Data Quality Incidents 10x with Datafold
Why Do Organizations Struggle To Have Good Data Quality? Large organizations are often using many tools to get their data from source to destination, and… Read More »How To Achieve Better Observability and Control Over Your Data Pipelines with Josh Benamram
In this episode, we speak with Lior Gavish, the co-founder of Monte Carlo to explore all things data quality. Monte Carlo is a data lineage and observability tool that lowers your data downtime.
I’m really excited about this episode where we will speak with Kapil Surlaker, the vice president of engineering at LinkedIn. Kapil has been with LinkedIn for over 10 years and has played an instrumental role in shaping the data architecture that LinkedIn is built on top of. In this episode, we cover a wide range of topics surrounding data architecture from: How metadata is captured and served up, Future-proofing the data architecture, The shift from on-prem to Azure, How LinkedIn monitors the quality of there data in real-time.
I’m really excited about this episode where we will do a deep dive into DataOps and discuss how organizations can get started implementing it today. To share his expert thoughts we have brought on the mic a pioneer in this space, Chris Berg,
Chris is the CEO at DataKitchen a DataOps platform that simplifies complex data toolchains and environments. Chris has more than 30 years of research, software engineering, data analytics, and executive management experience. At various points in his career, he has been a COO, CTO, VP, and Director of engineering. Chris is a recognized expert on DataOps. He is the co-author of the ‘DataOps Cookbook” and the “DataOps Manifesto,” and a speaker on DataOps at many industry conferences.
In today’s episode, we will speak with Susan Walsh and learn why organizations struggle with creating and maintaining high-quality data and the steps she takes to resolve data issues. Susan Walsh has nearly a decade of experience fixing your data and founded the classification guru. Susan is a specialist in data classification and data cleansing. She is passionate about helping you find the value in cleaning your dirty data and raises awareness of the consequences of ignoring issues through our blog, webinars, and speaking engagements.
In today’s episode, we will speak with Jesse Anderson and learn how to run successful big data projects and how to resource your teams. Jesse is a big data expert at Big Data Institute, who’s worked with startups to Fortune 100 companies. He has taught over 30,000 people the skills to become data engineers and is published in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.