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Increase the Quality and Reliability of Your Data

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.

DataOps Is Not Just DevOps for Data with DataKitchen

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.

Cleaning Dirty Data with the Classification Guru

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.

Data Teams: A Unified Management Model for Successful Data-Focused Teams

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.