San Carlos, Calif. – April 24, 2018 – MarkLogic Corporation, a leading operational and transactional Enterprise NoSQL database provider, today announced the agenda and speakers for their annual user conference, MarkLogic World 2018, in San Francisco May 7-10, 2018. Attendees will learn how to drive innovation faster by integrating data across silos with modern database technology across all cloud environments, leading-edge data-level security technology and more through keynotes, hands-on workshops and technical deep dive sessions delivered by MarkLogic customers and partners and MarkLogic technical experts.
As the largest assembly of global data innovators from data architects and developers to DBAs and CIOs/CTOs from Global 2000 companies and other leading organizations across multiple industries, MarkLogic World 2018 features:
“While many companies are struggling to manage their data with traditional relational or next-generation databases, our customers have a distinct competitive advantage by building a secure, real-time 360-degree view of their data,” said Gary Bloom, CEO of MarkLogic. “As our signature event of the year, I’m looking forward to sharing leading-edge best practices that are driving true digital transformation in the enterprise – faster, more securely and with less time and cost.”
MarkLogic World 2018 runs from May 7-10 at Hyatt Regency San Francisco in downtown San Francisco. Session tracks and workshops are designed to provide enterprises with cutting-edge data integration techniques and the insights and inspiration they need to solve their data challenges and drive innovation in their organization. Session tracks fall into four main categories:
Attendees will have the additional benefit of learning about partner solutions, notably from sponsors including Microsoft, Tata Consultancy Services, NTT Data, Esri, and Smartlogic.
For more information or to register, visit MarkLogic World online.
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.