Denodo DataFest 2021 AMERICAS

Data Marketplace. Role of Data Virtualization & Best Practices

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.

CxO to CxO Fireside Chat: Latest Trends in Data Management, Data Virtualization, and Logical Data Fabric

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.

Analyst Keynote: Total Economic Impact™ of Logical Data Fabric with Data Virtualization

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

Customer Keynote: Data Service and Security at an Enterprise Scale with Logical Data Fabric

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.

Partner Keynote: An Industry Use Case for Logical Data Fabric – A Life Sciences Example

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.

Product Keynote: Advancing Denodo’s Logical Data Fabric with AI and Advanced Semantics

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.

Keynote Panel: Data Fabric - Why Should Organizations implement a Logical and Not a Physical One

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

Scaling Multi-Cloud Deployments with Denodo: Automated Infrastructure Management

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.

Performance Acceleration: Summaries, Recommendation, MPP and more

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.

Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a Hybrid Cloud World

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.

CxO to CxO Fireside Chat: Expediting Time-to-Answers with Self-Managed Analytics

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!

5 Exciting Denodo Features You Might Not Have Heard Of

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.

Cloud Fireside Chat: Migrating to the Cloud Under the Cover of a Logical Data Fabric

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.

Enabling a Data Mesh Architecture with Data Virtualization

The Data Mesh architectural design was first proposed in 2019 by Zhamak Dehghani, principal technology consultant at Thoughtworks, a technology company that is closely associated with the development of distributed agile methodology. A data mesh is a distributed, de-centralized data infrastructure in which multiple autonomous domains manage and expose their own data, called “data products,” to the rest of the organization.

Securing Data Sharing with Denodo tag-based policies

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

A Data Catalog for Your Self-Service Data Strategy

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

Tips n’ Tricks: Top 10 Best Practices - What to do and What NOT to do

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.

Denodo Data Innovation Award: Digital Transformation & Regulatory Excellence with Logical Data Fabric

The much sought after Denodo Data Innovation Award. Who will be the winner this year? Listen two customers duel it out. You determine the winner.

Denodo Data Innovation Award: Creating a Logical Data Fabric to Digitize City Furniture’s Business Model

The much sought after Denodo Data Innovation Award. Who will be the winner this year? Listen two customers duel it out. You determine the winner.

Lessons learned from over 25 Data Virtualization implementations

If you have been part of the Denodo community for a while, you likely have heard of SimplicityBI (now part of the BDO family). This expert firm located in Canada has done over 25 implementations of Denodo across North America in over 10 different industries.

Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curated View of Data Across the Organization

Data fragmentation, multiple data sources and interoperability are a significant part of the challenges facing modern healthcare. We will focus our session on how to address these through a combination of a Universal Healthcare Data Fabric that leverages Denodo’s latest platform, as well as components that have been developed specifically for healthcare systems, based on the FHIR standard.

Solution Centric Architectural Presentation - Denodo as a Growth Enabler

Denodo customer Ultra Mobile will discuss the role of Logical Data Fabric as a growth enabler, specifically focusing on how they used REST API services for various use cases

Solution Centric Architectural Presentation - Implementing a Logical Data Warehouse

Implementing a logical data fabric as an architecture makes absolute sense when you have data spread across various sources in the cloud, including data warehouses, data lakes and even realtime data. In this session our customer will discuss the ways in which they implemented Denodo as a logical data fabric and how it helped them reduce risk and speed up time to access data.

Everything To Everybody? Making Your Denodo Implementation a Huge Success

Establishing a Denodo capability in an organization has its technical considerations, but equally important is the people side. The Denodo platform offers exciting possibilities for organizations. So much so that it can be a challenge to get alignment across the enterprise. There may be differing levels of knowledge about data virtualization, there may be perceived competing interests. But alignment is crucial for success. This talk will present some considerations to keep in mind when positioning Denodo's data virtualization platform in an enterprise's data strategy.

Accelerating Cloud Data Modernization with Logical Data Fabric

Migrating your data eco-system to the cloud is complex and very disruptive to the business. In this session we’ll discuss how customers have leveraged Denodo's Logical Data Fabric to ease their cloud data modernization and avoid disruption to the business.

Leveraging a Data Fabric to Securely Migrate Data to the Cloud

Concerns with data security, regulatory compliance and impact to existing applications dampens the enthusiasm for moving data to the cloud and realizing the plethora of benefits. In this session, we will talk about how a Logical Data Fabric (LDF) can be leveraged to overcome these challenges and how we used LDF with our customers to create real-time insights from data residing in disparate systems

A Data Fabric for All Things Intelligent

Data as a strategic imperative for any company to compete, New common self-service data experience required for all things intelligent, Modern data platform focused on producing data products, Data platform, product, people, process key solution ingredients and Denodo is the future and time is now to get started

Logical Data Fabric – Value and Implementation Scenarios in Financial Services & Insurance

Logical Data Fabric is touted as one of the Top 10 trends in the data landscape. It has lived up to the hype, and more companies are starting to embrace Logical Data Fabric in their modern data architecture. In this session, we will explore the value of Logical Data Fabric and precisely zoom in on the use cases for the Financial Services & Insurance verticals. The session will also cover a specific case study addressing how a financial services company has modernized its data processing pipelines using Logical Data Fabric.