10:00 AM - 10:05 AM

Conference kicks off, welcoming renowned speakers, subject matter experts and data enthusiasts, with a high touch in-person day one - offering an engrossing agenda.

Ravi Shankar

Senior VP & Chief Marketing Officer at Denodo
10:05 AM - 10:25 AM

Join Denodo CEO Angel Vina and CMO Ravi Shankar in this session to hear about the latest trends in data management, the role of data virtualization, and logical data fabric and how Denodo is helping to solve some of the toughest data management problems.

Angel Vina

Founder & CEO at Denodo

Ravi Shankar

Senior VP & Chief Marketing Officer at Denodo
10:25 AM - 10:55 AM

Join VP and Principal Analyst at Forrester, Michele Goetz to learn, what is Data Fabric and why data-driven organizations need one; how to create a logical data fabric and some of the most important use cases; how organizations can expect to reap a substantial ROI by deploying a logical data fabric.
 

Michele Goetz

VP, Principal Analyst at Forrester
10:55 AM - 11:15 AM

Denodo customer McCormick created a logical data fabric (LDF) with data virtualization, to create Enterprise Data Service (EDS) for self-service analytics, integration, web and mobile applications. Listen to this presentation to learn how McCormick uses LDF for better business decisions and strategic planning via democratized information assets and in the process minimize information consumption risks via centralized security model.

Terry Dorsey

Enterprise Information Architect at McCormick
11:15 AM - 11:35 AM

COVID has educated us about drug development, testing, approval, administration and post launch study processes. All these steps to development clinical trials to real-world care heavily use data – generating data from various sources, analyzing them for efficacy and adverse reactions during, and post, trial. But without a solution to seamlessly manage and analyze these datasets together, the process can become manually intensive and delay the time-to-market and understanding of a drug. In this presentation, the Denodo partner will discuss how life sciences companies increasingly need to blend clinical trial and real-world data with a logical data fabric.

Matthew Brooks

Managing Director at Accenture
11:35 AM - 11:55 AM

During this session, Denodo CTO Alberto Pan will discuss how a logical data fabric and the associated technologies of machine learning, artificial intelligence and data virtualization is the right approach to assist organizations to unify their data. He will discuss how a Logical Data Fabric reduces time to value hence increasing the overall business value of your data assets.

Alberto Pan

Executive VP & CTO at Denodo
11:55 AM - 12:25 PM

Many mid-large organizations are adopting logical data fabric architecture whereas other are still curious. This esteemed panel will explore if and why organizations should adopt logical data fabric strategy. Listen and learn to help your own future data and analytics strategy.

Ravi Shankar - moderator
Senior VP & Chief Marketing Officer at Denodo

Alberto Pan - panelist
Executive VP & CTO at Denodo

Michele Goetz - panelist
VP, Principal Analyst at Forrester

Terry Dorsey - panelist
Enterprise Information Architect at McCormick

Matthew Brooks - panelist
Managing Director at Accenture

12:25 PM - 12:30 PM
12:30 PM - 12:45 PM
12:45 PM - 1:30 PM

The future of infrastructure management lies in automation. In this session, Denodo subject matter expert will talk about how in a multi-cloud scenario, the infrastructure can be automatically managed transparently via a web GUI. Audience will get to see that in action through a live demo.

Paul Moxon

SVP Data Architectures & Chief Evangelist

Senthil Ramesh

Sales Engineer at Denodo
12:45 PM - 1:30 PM

Performance is critical for an organization across the board. Developers can optimize execution with Summaries, MPP, Data Movement, and more. Business users rely on the Recommendation engine to guide them to the right data. Let’s discover and learn about various performance acceleration techniques in this session.

Inessa Gerber

Director of Product Management at Denodo
1:30 PM - 2:15 PM

While some organizations are planning or establishing a multi-cloud strategy, for many organizations it is still a far cry, given the underlying complexity and associated risks. Listen to this panel of experts debate and talk about how real is a multi-cloud strategy for organizations and how a logical data fabric may offer some needed help.

Robin Tandon - Moderator
Director of Product Marketing at Denodo

Alexey SIdorov - Panelist
Data Science Guru and Evangelist at Denodo

Jeffrey Nogosek - Panelist
Google Cloud Data & Analytics Lead at Accenture

1:30 PM - 2:15 PM

Denodo, our customer and partners will delve into the details of how the Denodo platform supports advanced semantic enhancement of meta data and the relevance this plays to data privacy and governance as well as data security.

Robin Tandon - moderator
Director of Product Marketing at Denodo

Alexey SIdorov - panelist
Data Science Guru and Evangelist at Denodo

Jan Swanepoel - panelist
Multi-Product Technical Specialist & Enterprise Data Services at Nedbank

Douglas Clarke - panelist
Divisional Director at BITanium

2:15 PM - 2:20 PM
10:00 AM - 10:05 AM

Welcome back to Denodo's premier customer event. On day 2 we have an amazing informative program, including our keynote session by David Loshin author of "Master Data Management" and a leader in the data integration and management industry. Today we are also showcasing our sponsors and have most excitingly our innovation awards later on.

10:05 AM - 10:35 AM

As organizations opt for cloud computing platforms and migrate their data and applications to a hybrid cloud environment, they use multiple platforms to support new and increasing data types for analytics. However, as enterprise data architectures expand to incorporate both cloud and on-premises platforms and systems, the complexity of the environment leads to operational inefficiencies. Data latency and redundant computation, coupled with diminished data awareness leads to missing data consumer expectations for rapid information analysis and delivery.

A logical data fabric is a modern and highly effective approach to unify distributed data in a hybrid environment. Organizations can leverage the logical data fabric to overcome systemic challenges, simplify analysis and reporting, and speed the reporting/analysis, data science lifecycle to empower downstream data consumers. In this session renowned analyst David Loshin will talk about the most important capabilities of the logical data fabric to deal with modern data management and analytics efforts.

Attendees will learn about:
• The emergence (and persistence) of the hybrid environment
• Challenges in enabling data consumption
• The need for data awareness in a hybrid enterprise
• The most critical capabilities of a logical data fabric

David Loshin

President of Knowledge Integrity at TDWI
10:35 AM - 10:55 AM

Excelling in business requires moving faster than the competition, but your business can move only as fast as your data. How do you expedite the time-to-answers? How do you empower business users with self-managed analytics and liberate them from going to IT every time? Listen to the CMO’s tough questions and insightful answers from CDAO!

Ravi Shankar

Senior VP & Chief Marketing Officer at Denodo

Aidan Millar

Chief Data and Analytics Officer at DNB
10:55 AM - 11:40 AM

In this session, Jan will showcase how Nedbank Enterprise Data Services has implemented Denodo as a data virtualisation solution since 2017. The initial use case was to create an abstracted access layer on the legacy Operational Data Store. Four years down the line, the Nedbank is virtualizing many non-warehouse data sources, the entire legacy data warehouse as well as the target state data lake and data marts. The views are dynamically kept up to date when table changes occur. By 2021 Nedbank is expected to have a hybrid cloud Denodo solution in place and reporting which sources from Denodo enabled APIs and will be available via the Nedbank API marketplace.

Engie is a major energy generation and distribution company in Mexico. The rise of digital technologies and the explosion of data from customers and business processes pushed Engie towards building the capabilities to fully exploit the potential of these technologies and that of its data assets. DA VINCI Project (Data Virtualization and Capability Integration) was designed to further Engie’s data-driven strategy, which has already resulted in the enablement of various new data-driven use cases. Through the prism of DA VINCI Project, Luis Guadarrama will showcase how Engie successfully implemented its various data-driven initiatives and the role data virtualization played in that.

Jan Swanepoel

Multi-Product Technical Specialist Enterprise Data Services at Nedbank

Luis Guadarrama

Head of Data and Analytics at Engie Mexico
11:40 AM - 12:10 PM

Denodo offers such a broad range of functionality that some features don't get enough attention. However, there are little gems hidden in plain sight that can make a big difference for some use cases. Attend this session to have a quick overview of 5 of the most interesting ones.

Moderator:
Ravi Shankar, Senior VP & Chief Marketing Officer at Denodo

Panelists:
Pablo Alvarez, Global Director of Product Management at Denodo
Inessa Gerber, Director of Product Management at Denodo
Vincent Fages Gouyou, EMEA Product Management Director at Denodo
Chris Walters, Sr. Solutions Consultant at Denodo
Mitesh Shah, Sr. Cloud Product Manager at Denodo

12:10 PM - 12:30 PM

Cloud offers many advantages – lower cost, compute at scale, and unlimited storage! And there are many approaches to migrating to the modern cloud from legacy on-premises systems and applications. Of these approaches, the logical data fabric is one that offers business continuity while the migration is in process. Listen to this fireside chat about how you can accomplish such a migration using Logical Data Fabric.

 

 

Ravi Shankar

Senior VP & Chief Marketing Officer at Denodo

Matthew Lobaugh

SAP Global Beyond Infrastructure Team at AWS
12:30 PM - 12:33 PM
12:33 PM - 12:45 PM
12:45 PM - 1:15 PM

As organizations are going global and every functional unit is making data-driven decisions, data is getting distributed globally. At the same time, different functional domains deal with different data products; managing the data-product silos by a centralized IT team becomes complex. A Data Mesh built with Data Virtualization may hold the answer to that problem. In this session, Denodo subject matter expert will talk about how Data Virtualization technology enables a global data delivery strategy with a Data Mesh.

Pablo Alvarez

Global Director of Product Management at Denodo
12:45 PM - 1:15 PM

Subject matter expert from Denodo will discuss how Denodo's latest updates around tag-based policies helps in secure data sharing.

Vincent Fages-Gouyou

EMEA Product Management Director at Denodo
12:45 PM - 1:15 PM

BITanium enables organizations to maximize the value of their data and improve consistency and data quality, with organization-wide data governance. Tune in to this session to learn two brief customer stories of companies that have gained significant value by working with BITanium and Denodo.

Chris O'Connell

Managing Director at BITanium

Kevin McKerr

Sales Leader at BITanium

Jan Swanepoel

Multi-Product Technical Specialist Enterprise Data Services at Nedbank

Lauren Churcher

Head of Data Enablement for Enterprise Business Services at MultiChoice Group
12:45 PM - 1:15 PM

The data driven decision making requires greater data democratization in organizations and Data Marketplace is an essential enabler for that. However, to implementing & sustaining the Data Marketplace could be a daunting task given the data diversity and organization dynamics. Data Virtualization can be a powerful accelerator for the data marketplace solution and also provides a strong foundation for a secure and well governed system. This session explores the Data Marketplace and the role of Data Virtualization as an enabler and associated best practices. Listen to Wipro’s perspective on the theme.

Shadab Hussain

Americas Sales Head, Data Analytics at Wipro
1:15 PM - 1:45 PM

Denodo cutomer MultiChoice Group will discuss the power of implementing a solution centric architecture and the ease of accessing the underlying data through the use of and creation of real time Data Services API's.

Lauren Churcher

Head of Data Enablement for Enterprise Business Services at MultiChoice Group
1:15 PM - 1:45 PM

Infineon introduced the Denodo Platform as a data virtualization solution in mid-2020. The platform was integrated into the existing business intelligence architecture and the related organizational frameworks were set up. Since then a couple of data virtualization use cases have been implemented based on different service models. One of the use cases is in the area of energy cost reporting within facility management, which is also the focus of this session. The initial evaluation of the use case showed that the traditional ETL-based approach would bring unnecessary complexity and costs. Therefore a virtual data mart was created using the Denodo Platform. Christian will showcase how the implementation of the Denodo platform has resulted in significant cost savings at Infineon technologies, increasing flexibility in terms of data connectivity and consumption, expediting speed to market for the E2E solutions, and enabling efficient prototyping. Additionally, Christian will highlight the necessary organizational guidelines and processes that complement the technical skills and know-how for delivering successful data virtualization projects.

Christian Dreier

Lead Principal Engineer Business Intelligence at Infineon Technologies
1:15 PM - 1:45 PM

iOCO enables companies to overcome challenges, so they can engage in successful digital transformations, gain all of their expected benefits, and remain competitive in the face of digital disruption. Listen to this session to learn how iOCO facilitates digital transformations that accelerate time-to-market while improving agility.

Louis de Gouveia

Data Competency Manager at iOCO
1:45 PM - 2:15 PM

Denodo Data Catalog is complementary to some of the standalone data catalogs. Some standalone data catalogs offers wider reaching policy management . The Denodo Data Catalog provides access to the data which has been virtualized in Denodo. This provides for a quick data discovery, documentation, and business-UI for querying across virtualized views. In this session subject matter experts will debate as to why you need Denodo Data Catalog for your self-service data strategy.

Pablo Alvarez - Moderator
Global Director Product Management, Denodo

Inessa Gerber - Panelist
Director of Product Management at Denodo

Srikrishnan Ramachandran - Panelist
Consulting Partner & Analytics at Wipro

Vamshi Vellore - Panelist
Sr. Product Engineer, S&P Global

1:45 PM - 2:15 PM

Uber, the world’s largest taxi company, own no fleet; AirBnb , the largest accommodation provider owns no real estate. The extraordinary way that companies is growing fast, globally and with little investment, was with thin layers on top of a complex system of others’ goods or services that owned the customer interface. In Digital transformation- Data Minimization sometimes very useful to deliver business value rapidly without physical data redundancy – specially for seamless data migration from OLTP, OLAP, Legacy platforms for quick data domain/Data product access for incremental value until the desired Architecture/data estate evolve. To achieve the same -Data virtualization logically allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted at source, or where it is physically located, and can provide a single customer view of the overall data. While implementing next-gen solution leveraging DV, it has certain set of key considerations and caveat with focused long term strategy, Target state Architecture and use case.

Supriyo Chakraborty

Principal & Germany Data Engineering Guild Head at Cognizant
1:45 PM - 2:15 PM

Jonathan Wisgerhof

Data Architect and Lead Data Virtualization at Axians
2:15 PM - 2:45 PM

Learn from the true experts from Denodo's product management team. In this session they will run through some real life use cases of key Denodo features and how Denodo's customers have realised true benefits. We will also as importantly touch on some examples of what not to do.

Keath Lewin

Solutions Consultant at Denodo
2:15 PM - 2:45 PM

Our approach for data virtualization advisory takes the following 3 dimensions/areas into consideration:

  • Technology / Architecture
  • Business User Groups (your clients)
  • IT Organization

To deliver quick results, Q-PERIOR uses a multitude of accelerators in predefined topics within these three dimensions. In our presentation we will elaborate on client examples why such an exercise makes sense before rolling out Denodo and what kind of risks you can avoid doing so.

Ulrich Gantenbein

Associate Partner at Q-PERIOR
2:15 PM - 2:45 PM

The value of cloud-based data & analytics solutions for organizations to become data-driven is immense. The demand for business agility, powered by serverless solutions that are fully integrated with on-prem, multi-cloud, and third-party applications has never been greater. While organizations aspire to move their workloads to cloud environments, the complexities of activities and processes around cloud migration have proven to be a challenge for most organizations to overcome. Often, organizations have to manage competing priorities of maintaining operational continuity, re-platforming, and identifying and proving value early to the stakeholders involved. These challenges hold the organizations back from successfully migrating their IT assets to the cloud and offer data-driven services to their customers. In this presentation, Jeff will speak about how organizations can smoothen their journeys to the cloud and unleash the power of data to truly become a data-driven organization.

Jeffrey Nogosek

Google Cloud Data & Analytics Lead at Accenture
2:45 PM - 3:30 PM