This talk focuses on the need of data orchestration in enterprise data pipelines. It provides details about data orchestration and how to address typical challenges that customers face when dealing with large and ever-growing amounts of data for data analytics. While the amount of data increases steadily, AI workloads need to speed up in order to be able to deliver insights and business value in a timely manner. IBM addresses these requirements with the Data Accelerator for AI and Analytics (DAAA), an expertly engineered solution based on new features delivered with Spectrum Scale 5.1. The session will include a demo of a complex proof-of-concept and present the key learnings and results.
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User Group Host: Bill Anderson
|Simon Lorenz||Simon Lorenz is an IT Architect at IBM Research and Development in Frankfurt, Germany. He joined IBM Germany in 1993 and has held various positions within IBM and IBM Research and Development. During international assignments, he helped to improve fully automated chip factories in Asia and US. Simon joined the IBM Spectrum Scale development team in 2014 and since then worked on: Openstack Swift integration, designing and building System Health and Proactive Services solutions. Since March 2019 he is the world wide leader of the IBM Spectrum Scale Big Data and Analytics team. His role includes designing and building solutions in the area of AI such as the Data Accelerator for AI and Analytics.
|Gero Schmidt||Gero Schmidt is a Software Engineer at IBM Germany Research and Development GmbH in the IBM Spectrum Scale development group.
He joined IBM in 2001 working at the European Storage Competence Center in Mainz, Germany, providing technical presales support for a broad range of IBM storage products with a primary focus on enterprise storage solutions, system performance, and IBM POWER systems. He participated in the product rollout of the IBM System Storage DS6000/DS8000 series, co-authored several IBM Redbooks and has been a frequent speaker at IBM international conferences. In 2015 he joined the storage research group at the IBM Almaden Research Center in California, USA, where he worked on IBM Spectrum Scale, compression of genomic data in next generation sequencing pipelines, and the development of a cloud-native backup solution for containerized applications in Kubernetes/Red Hat OpenShift. In 2018 Gero joined the Big Data & Analytics team in the IBM Spectrum Scale development group.