Analytics and Data Summit 2018

Dan Vlamis will introduce Analytics and Data Summit 2018 and Spatial Summit leaders will introduce the Spatial Summit during opening talks on Tuesday.

Oracle Autonomous Data Warehouse Cloud is the industry’s first self-driving, self-securing, self-repairing database cloud service, offering you high availability, performance and security without human intervention. Oracle Autonomous Analytics Cloud is the industry’s leading cloud analytics platform, empowering you to achieve broader, deeper, and faster insights with augmented analytics in a hands-free platform. Join Oracle executives Andy Mendelsohn and Waqar Hasan to hear how Oracle’s new Cloud services leverage AI and machine learning to redefine the state-of-the-art for data warehousing and analysis, so you can ask any question of any data and get better answers faster

This session answers architecture questions related to the overall structure and strategy for an enterprise analytics system. How do we design a data warehouse for analytics purposes? What do we integrate into a central warehouse or maintain in separate data marts? How do we integrate long term storage systems that we need to query only occasionally? Data lakes? Big Data?? What are the tradeoffs with different tools and how much do we invest in custom code? How do we integrate real-time data streaming? What ETL and integration strategies are we going to use? Where and how do we extend our raw data with calculated measures and analytic functions? How do we create a system that has a strong foundation, but can grow and evolve over time? This presentation will draw from real-world data architecture projects that were designed with analytics in mind.

Join us for our lightning round presentations by our sponsors. These are about 4-minute presentations by each sponsor, moving quickly between sponsors. Come have lunch with us! You can also download each of the sponsors' presentations.

As early as 2001 Enterprise Data Warehousing (EDW) design patterns like "Corporate Information Factory" (CIF) began to emerge. Theses patterns established EDW as the central focus of reporting. Current BI/DW 1.0 projects still follow these patterns today. Problems in the BI/DW 1.0 methodology have appeared. Increases in data volume, variety and velocity have all created considerable challenges for this legacy architecture. In this presentation we will review the legacy of BI/DW 1.0 and dive into the future BI/DW 2.0 and 3.0 architectures. Taking a close look and advanced staging areas, operational data stores and how those architectures can be used for cloud facilitation in BI/DW 2.0. Additionally, this presentation will drive into the BI/DW 3.0 data tipping point and where various Oracle products fit in these new emerging modern data architectures.

The world of business analytics is rapidly changing. Technology is focused on bringing more and more functionality to end users and automating or obscuring many of the tasks that were the cornerstone of a number of technology careers. As the skills that were in extremely high demand 5 or 10 years ago become less valued in the marketplace what skills should you focus your efforts on today, that take advantage of the skills you already have, to continue to advance your career as a technologist? 
In this panel discussion thought leaders from the analytics industry will exchange views on the changing landscape of business analytics and technology and share their impressions of the current and future state of the industry. The panel, with participation from attendees, will try to separate the hype from reality about what skills really matter and how to stay relevant and advance your career in the ever-changing world of analytics.