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Cloud Next – DataOps and Data Engineering Best Practices

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Sonika S.
Cloud Next – DataOps and Data Engineering Best Practices


Understanding production-level machine learning and data engineering at scale has become essential for industry deployment. We're excited to welcome Director Aram Lauxtermann, Tech Leads Trevor Chinn, and Ken Tso from KPMG Ignition Tokyo for a talk on DataOps and Data Engineering Best Practices. Within a year and a half Cloud Next has been rolled out to more than a dozen KPMG member firms and multiple clients. In a one-hour session, the Cloud Next and the Data Platform team will explain the core concepts, technologies, and business model.

During the session, there will be two demos, where the audience will get unique insights into the inner workings of these platforms. The first demo will focus on Cloud Next, GitOps, and Infrastructure as Code (IaC), while the Data team will focus on DataOps and Data Engineering.

● 19:00 – Opening remarks
● 19:05 – Introduction, Aram Lauxtermann
● 19:15 – Cloud Next & GitOps, Trevor Chinn
● 19:30 – Data Platform, Ken Tso
● 19:50 – QA
● 20:00 – Closing

πŸ“Œ Join Zoom Meeting

Aram Lauxtermann started his career as a consultant. Over the last decade, he transitioned to managing and directing cross-functional and geographically dispersed teams. He has worked for banks, startups, and consulting firms providing clients and stakeholders services by using data and key performance indicators to ensure quality and transparency. He is good at designing strategies that enable companies to transform their business and focus on innovation. Currently, as the Head of Cloud as well as the Head of Data at KPMG Ignition Tokyo (KIT), Aram is building highly skilled cross-functional teams and helping them grow their capabilities to support the growth of KIT’s clients’ businesses.

πŸ“Œ Watch the interviews:
Azure Arc customer case by Microsoft:
Azure Arc interview by Microsoft:
Azure platform success story:
KPMG Cloud Next interview with Wortell:

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