Persistent Memory and the Data Lake
Intel® Optane™ persistent memory fills the gap between memory and storage, with larger capacities than traditional DRAM and the persistence of storage. This session includes an overview of the technology, a discussion of the different operating modes, and the software programming models. We conclude with some examples of how persistent memory can benefit Dremio’s data lake engine.
Speakers
Ryan Murray
Ryan Murray is an open source Engineering Lead at Dremio. He previously served in the financial services industry doing everything from bond trader to data engineering lead. Ryan holds a PhD in theoretical physics and is an active open source contributor who dislikes it when data isn’t accessible in an organisation. He is passionate about making customers successful and self-sufficient, and still one day dreams of winning the Stanley Cup.
Ginger Gilsdorf
Ginger Gilsdorf is a software engineer at Intel, focusing on enabling database and analytics software vendors to run best on Intel Data Center platforms. Her experience with persistent memory includes investigating possible use cases, developing software that takes advantage of persistence, and optimizing for performance. She holds a B.S. in Computer Science from Arizona State University, and is working on an M.S. in Computer Science with a specialty in Machine Learning from Georgia Tech. She holds two U.S. patents in memory and storage technologies.
