Data pipelines are becoming a quintessential part of every organisation that is wanting to be data fluent. This means DataOps is becoming increasingly more important in this process as it is used by analytic and data teams, to improve quality and reduce the cycle time of data analytics. However, now organisations are facing unprecedented challenges with current events and widespread lockdown. It’s important to understand how to guide DataOps teams through these rapid changes and uncertainties so that data can remain functional.
In this podcast, Ronald van Loon speaks to Suki Dhuphar, EMEA Field Engineering Lead at Tamr. Firstly, Suki outlines the challenges that DataOps teams face with remote work and how to overcome these challenges. Then he explains how DataOps teams streamline their data engineering processes once they’re equipped with the right tools. Also, Suki explains how a remote work environment impacts an organisations data pipeline and creating a culture that is adaptable. Finally, he explains the best practices needed to help increase data and analytics efficiency for transitioning processes.
As the only AI-native master data management (MDM) solution, Tamr makes it easy to unify, clean, and enrich fragmented enterprise data and produce the trusted golden records your organization needs to power AI initiatives, decision-making, growth, and compliance. Tamr’s patented, AI-centric approach combines machine learning and AI agents with human refinement and oversight to deliver value in days or weeks, not months or years like traditional solutions. With intuitive 360-degree views linking data across silos, you can leverage the best, most accurate information in real time.
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