The Data Summit conference is a unique event that brings together IT practitioners and business stakeholders from all types of organizations. Top corporations, government agencies, and public institutions gather together to learn about the leading technologies and strategies for succeeding in this increasingly data-driven world. Attendees get a comprehensive educational experience designed to guide them through all of today’s key issues in data management and analysis. Take advantage of the many opportunities for peer interaction through panel discussions and provocative talks. Whether your interests lie in the technical possibilities and challenges of new and emerging technologies or using Big Data for business intelligence, analytics, and other business strategies, Data Summit 2018 has something for you!
An intense two-day immersion into the major technologies and strategies for becoming a data-driven business, Data Summit is co-located with the Cognitive Computing Summit as well as our special day long programs: Hadoop Day on Tuesday and Spark Day on Wednesday. Access to these co-located events is included with your Data Summit registration or available as individual pass types.
All attendees can take advantage of access to the Data Solutions Showcase, where companies with solutions to your data challenges will be displaying their products and services. If you want to connect with the leaders and innovators in the industry, discover what works in the real world, and begin charting your course forward, Data Summit is the place to do it. Join us this May in Boston for Data Summit 2018!
What We’re Talking About:
- Harnessing the Hadoop Ecosystem
- Moving to a Modern Data Architecture
- Unlocking the Power of the Data Lake
- Machine-Learning With Apache Spark
- Data Engineering for the Internet of Things
- Data Security
- Data Science in the Real World
- Succeeding With Predictive Analytics
- Taking Advantage of In-Memory Computing
- Making the Shift From Relational to NoSQL
- The Rise of Data-as-a-Service
- The Future of Data Warehousing
- Overcoming Big Data Integration Challenges
- Increasing Agility Through Virtualization & Cloud
- Moving From Traditional BI to Data Discovery
