Data engineering simplified with Infoworks' agile and automated platform - a podcast by Big Data Beard

Data engineering and data ops are some of the most challenging and resource intensive parts of the data science process. Cory Minton (https://twitter.com/Cory_Minton?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) and Brett Roberts (https://twitter.com/broberts2261) sit down with Infoworks (http://www.infoworks.io/) CTO and co-founder, Amar Arsikere (https://www.linkedin.com/in/amar500/) and VP of Product, Ramesh Menon (https://www.linkedin.com/in/ramesh-menon-b13463/) to hear about how their agile Data Engineering Platform helps automate data workflows allowing organizations to accelerate the number of use cases they can get into production while using fewer resources.  The team explores the challenges organizations are having around data lakes, data sourcing strategies and scalable data pipelines and hear how the Infoworks’ platform helps solve these challenges.  Amar and Ramesh also provide real world examples of how customers have turned to Infoworks to help successfully solve these challenges.

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