• What we'll do
Target audience: Decision makers in infrastructure, Big Data and BI. Big Data professionals and architects, BI Heads of/managers/experts/developers/analysts, Data analysts/scientists
Abstract: Organizations commonly believe that they are advancing in analytical capabilities due to the rise in the data science profession and the myriad of technologies available for analytics, business intelligence, artificial intelligence and machine learning. However, if you do the math, they are actually falling behind as the increases in the rates of data collection volume far outpace the rate of increases in hot and warm data used for analytics. This is causing organizations to rely on an ever-decreasing percentage of their information assets for decision making. In this session, we will discuss why they were created, how they are already disrupting the database world, and what the future of computing holds for them. During the event we will demonstrate how the power of GPUs can be leveraged to both accelerate speed to insight and to scale the amount of hot and warm data analyzed to meet the increasing demands of data scientists and business intelligence professionals alike, as well as to find tactical and strategic insights with greater speed on exponentially growing datasets.
What will you learn:
Intro to GPU DBs, why they were created, their different variants and how they are already disrupting the database world.
• How the power of GPUs can be leveraged to accelerate speed to insight
• How organizations can scale the amount of hot and warm data analyzed utilizing GPUs
• Remaining cost-effective in the next few years when data lakes are expected to balloon from petabytes to exabytes
Presenter: Ami Gal, CEO and Co-founder of SQream, https://www.linkedin.com/in/galami/
• What to bring
• Important to know