kdb Microservices for Ultra-High Velocities on a Postage Stamp Footprint

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Presented by

Steve Wilcockson, Product Marketing, KX, Ian O’Dwyer, Solution Architect, KX, Jack Kiernan, Financial Services Architect, KX

About this talk

Using Python, and perhaps Pandas? This webinar explains how you can provide production data workloads to your Python code and Jupyter Notebooks, adding 8x to 100x more data power to your models and reducing the time needed to take research into production. This webinar explores how to: • build a data ingestion pipeline • dramatically transform Python time series workflows and analytics (asof joins; xbar for time series formatting) • augment and improve your data science in Jupyter Notebook using KX's Python Interface Watch this webinar to see a demonstration of a computational finance workflow and to understand the same rigor and capabilities that can be deployed to any use case that utilizes Python and highly granular and high-frequency datasets.
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KX is the maker of kdb+ the world’s fastest time series database and analytics engine. Built for the world’s most demanding data environments, our industry-leading software can process and analyze time series and relational data at unmatched speed and scale for richer insights that drive better business decisions. Capable of running on any cloud, on prem, or at the edge, KX empowers developers and data engineers to build high-performance data-driven applications and turbo-charge their favorite AI and ML analytics tools. KX is trusted by the world’s leading companies across a range of sectors including capital markets, healthcare, manufacturing and telecommunications to deliver business value including risk mitigation, enhanced regulatory compliance, increased machine uptime and rapid development and launch of new products and services. For more information visit www.kx.com.