Elasticsearch for Big Data: A 360° Single View
May 23, 2018, 4pm BST / 5pm CEST
Businesses are increasingly turning to big data for content aggregation across multiple business systems to create a comprehensive ‘single source of truth’ or a ‘360-degree view’ of the organisation for critical business objects, such as customers, products, employees, locations, stores, etc. The goal is to deliver new insights through visualisations and analytics on these aggregate data views, but what is the best way to accomplish this?
Join us for this webinar where we will discuss how Elasticsearch features (schema-free, JSON, enormous write capacity, near-real-time search, and pluggability) enable the application to deliver enterprise-wide data to critical business systems across the organisation at scale.
About Our Speakers
Paul Nelson was an early pioneer in the field of text retrieval and has worked on search engines for over 25 years. During his many years in the industry, Paul has been involved in hundreds of text search installations of all shapes and sizes. This includes enterprise search for dozens of fortune 500 corporations as well as large government installations. Paul is the Innovation Lead for Content Analytics at Accenture where he provides architectural oversight for clients’ projects and conducts design, technology research and training.
Artem Pogossian is a Solutions Architect at Elastic based out of Toronto, Ontario. He has worked in IT for the length of his career in development and delivery roles within the Java ecosystem. Artem had recently joined Elastic due to his fascination with OpenSource Elastic stack through exposure in multiple opportunities within his client work. His passion lies in creating solutions that showcase the scale of data and sub-second processing speed of the Elastic products. Before joining Elastic, he worked as a Principal Consultant at Capco, Development Lead at Globe and Mail, and Senior Java Developer at Cisco. Artem is based out of Toronto, Ontario, and had graduated from the University of Waterloo.