Agenda


08:00am - 9:00am
On-site Registration, Partner Showcase, Networking Breakfast
09:00am - 9:15am
Welcome
Ravi Shankar Denodo

THEME 1 - Logical Data Warehouse / Lakes

09:15am - 09:30am
Analyst Presentation: Trending Topics in BI and Data Management
Timm Grosser BARC Research

The world at large has always been subject to technology and business trends. Over the last few years, new trends have emerged that have had an enormous influence on how organizations work, interact, communicate, collaborate and protect themselves. As part of BARC's BI Trend Monitor 2018, 2,770 companies were asked to rate the importance of 20 trending topics. In this session, we will present the key factors for gaining value from data today.

09:30am - 09:45am
Customer Presentation: A Customer Case Study in Logical Data Warehouse
Kishan Shri Erasmus University Medical Center

Healthcare organizations are constantly challenged with delivering high quality care while complying with strict regulations. Erasmus University Medical Center required the agility to quickly deliver BI products for its business users. In this presentation they will educate about how they use a Logical Data Warehouse architecture to rapidly support line-of-business users with dashboards and reports.

09:45am - 10:00am
Customer Presentation: Enabling Single View of Entities with Microservices
Schoeman Loubser GetSmarter

Microservices is an advanced architecture for rapidly building applications using a suite of loosely-coupled modular services. This presentation will provide a deeper understanding of delivering single view of entities such as students as microservices enabled by MDM and data virtualization.

10:00am - 10:15am
Denodo Presentation: Performance Considerations in Logical Data Warehouse
Mark Pritchard Denodo

When processing very large amounts of data at the speed of thought, performance questions raise their ugly head. Logical data warehouse architectures rival the conventional data warehouses in speed while reducing the need to extract, transform, and load the data. This presentation will prove this result using the benchmarks of the logical data warehouse vs. the physical data warehouse.

10:15am - 10:30am
Panel: Logical Data Warehouse as the Future in Data Warehousing
PANEL: Tim Grosser BARC Research / Kishan Shri Erasmus University Medical Center / Schoeman Loubser GetSmarter / Sebastien Fabri Looker / Andreas Schuldt HCL
MODERATOR: Ravi Shankar Denodo
10:30am - 10:45am
Networking Break/ Partner Showcase

THEME 2 - Big Data Analytics / Edge Computing

10:45am - 11:00am
Customer Presentation: Multi-zone Data Virtualization for Data Lakes
Paul Grooten Statistics Netherlands

Data lakes is a great solution for storing tens of thousands of data sets for statisticians to perform their daily functions. But how do you make that data available in a format that makes sense to them? Also, how do you enrich that data from other agencies who prohibit copying the data to the data lake? In this presentation, Statistics Netherlands, will highlight how they are using a Spark-based data lake with Denodo's data virtualization in a multi-zone architecture to enable the statisticians to quickly find and use the data in the format they need.

11:00am - 11:15am
Customer Presentation: Lowering IT Costs with Big Data and Cloud Modernization
Tekin Mentes Logitech

Organizations are fast adapting cloud to lower the IT costs, and increase agility. In this presentation, Logitech will present how they migrated their on-premise data warehouse and big data systems to the cloud and minimizing costs and immensely improved their time-to-market.

11:15am - 11:30am
Partner Presentation: Universal Semantic Models for Big Data Analytics
Tableau

Companies have now resorted to the use of multiple reporting tools within their organization, thus creating a headache for the IT to create a semantic model for each of the reporting tools. How productive would it be to create a universal semantic model that every reporting tool can use? This presentation will present such an approach to simplify support for any type of reporting tools.

11:30am - 11:45am
Denodo Presentation: Conquering the Edge with Data Virtualization
Lakshmi Randall Denodo

No time like the present! That's one reason why edge analytics continues to grow in value and importance. With the right analytic architecture in place, companies can not only identify opportunities at the edge, they can take appropriate actions.
Attend this session to learn:

  • The growing importance of edge computing in IoT
  • How data virtualization plays a critical role in enabling edge analytics
  • How Denodo’s innovative customers exploit edge for a winning business model
11:45am - 12:00pm
Panel: Big Data Analytics / Edge Computing
PANEL: Paul Grooten Statistics Netherlands / Tekin Mentes Logitech / Sue Cameron Semarchy / Tableau
MODERATOR: Lakshmi Randall Denodo
12:00pm - 12:15pm
Networking Break / Partner Showcase

Theme 3 – In-memory Fabric/ Real-time

12:15pm - 12:30pm
Analyst Presentation: Modern Data Architectures Need Real-time Data Delivery
Mike Ferguson Independent Analyst

Companies that move fast, stay one-step ahead of the competition and avoid being gobbled up. Keeping this law of the jungle in perspective, companies are modernizing their data architectures with real-time data delivery capabilities. This presentation will lay the foundation for what modern data architectures look like and how its core components enable rapid data delivery.

12:30pm - 12:45am
Customer Presentation: Business Needs for a Fast Data Strategy
Gordon Griffin Altus Analytics

Fast Data is an absolute business need – it requires the access to the most up-to-date data in real-time to perform its business function best and be ahead of the competition. At Altus Analytics, the faster we can turn around the data, the faster we can accelerate the generation of revenue. In this presentation, we will discuss why fast data is a key business imperative and how to architect your modern data architecture to enable fast data.

12:45pm - 13:00pm
Partner Presentation: Best Practices in Real-time Data Integration
Wipro

What are the dos and don’ts in real-time data integration? This presentation will draw upon the learning from successful customer uses of real-time data integration and lay out the practices that have worked and those that have not. Hear the recommendations from the leading practitioner in the real-time data integration.

13:00pm - 13:15pm
Denodo Presentation: Accelerating Analytics Architectures with Parallel In-Memory Processing and Data Virtualization
Alberto Pan Denodo

Which technologies increase real-time data delivery? Database and other technologies are taking on support for in-memory fabric to further boost the speed of data delivery in this impatient world. In this presentation, you will hear how data virtualization uses in-memory fabric to further accelerate the delivery of data to business users.

13:15am - 13:30pm
Panel: Redefining Analytical Architectures with In-memory Fabric
PANEL: Mike Ferguson Independent Analyst / Gordon Griffin Altus Analytics / Bart de Groeve InfoRoad / Wipro
MODERATOR: Paul Moxon Denodo
13:30pm - 14:30pm
Networking Lunch
14:30pm – 17:00pm
Data Virtualization in the Cloud Hands-on Lab

Join this hands-on workshop to achieve the first set of skills necessary to efficiently use the Denodo Platform for data virtualization along with connectivity to Amazon Redshift data warehouse in the cloud. Attendees will gain first-hand experience with the end-to-end flow: connect, extract, transform, structure and publish specific targeted data using the Denodo Platform as well as visualize the data using a business intelligence tool.

*Details regarding the hands-on lab will be provided via email prior to the event. Please note attendees will need to bring their own laptops.

14:30pm – 17:00pm
Cloud Data Virtualization Hands-On Lab

Join this hands-on workshop to achieve the first set of skills necessary to efficiently use the Denodo Platform for data virtualization along with connectivity to Amazon Redshift data warehouse in the cloud. Attendees will gain first-hand experience with the end-to-end flow: connect, extract, transform, structure and publish specific targeted data using the Denodo Platform as well as visualize the data using a business intelligence tool.

*Details regarding the hands-on lab will be provided via email prior to the event. Please note attendees will need to bring their own laptops.