Early Bird Ends in:
Akmal Chaudhri is a Community Developer Advocate at OmniSci. His role is to help build the global OmniSci community and raise awareness through presentations and technical writing. He has over 25 years experience in IT and has previously held roles as a developer, consultant, product strategist, evangelist and technical trainer. He has worked for several blue-chip companies, such as Reuters and IBM, and also the Big Data startups Hortonworks (Hadoop) and DataStax (Cassandra NoSQL Database).
He has regularly presented at many international conferences and meetups and served on the program committees for a number of major conferences and workshops. He has published and presented widely and edited or co-edited 10 books. He holds a BSc (1st Class Hons.) in Computing and Information Systems, MSc in Business Systems Analysis and Design and a PhD in Computer Science.
He is a Member of the British Computer Society (MBCS) and a Chartered IT Professional (CITP).
Speed Meets Scale: Interactively Analyzing and Visualizing Billions of Rows with GPU-powered Analytics
Data analytics never seems to be fast enough, especially as data grows and the number of sources expand. The shift from legacy databases to in-memory databases helped, but the speed and scale of CPU-based solutions has not kept pace with the needs of data analysts, who want interactive querying, visualisation and decision-making with their data. This lagging user experience costs time and money for companies that are increasingly data rich but insight poor.
In this presentation, we will explain what is causing the shift to GPUs, and how they are fundamentally changing the analytics space. We will also show, using demonstrations, the use of GPUs for performing fast analytics at scale, including SQL queries, interactive data visualisation, and integration with typical data science and machine learning workflows.