Data Democratization
with a Logical Data Fabric

Ravi Shankar, CMO, Denodo

It is no more an argument that data is the most critical asset for any business to succeed. While 85% of organizations want to improve their use of data insights in their decision making, according to a Forrester Survey, 91% of the respondents report that improving the use of data insights in decision making is challenging. To make data driven decision, organizations often turn to the data lakes, data lakehouses, cloud data warehouse etc. as their single source data repository. But the hard reality is that data is and will be spread across various repositories across cloud and regional boundaries. Learn from renowned Forrester analyst and VP at Forrester, Noel Yuhanna:

• Why Data Fabric Is the best way to unify distributed data
• How Data Fabric be leveraged for data discovery, predictive analytics, data science and more
• Why data virtualization technology is key in building an Enterprise Data Fabric

Noel Yuhanna, VP, Principal Analyst, Forrester

CITY Furniture, a Florida based retail giant, realized that bringing data from its orbital position to the core nucleus of the business decision-making was critical to meeting its business goals. That required an enterprise-wide digital transformation where data science and advanced analytics became the foundation for the company's new digital business model. Building a Logical Data Fabric allowed CITY Furniture to democratize their data and empower all their distributed data consumers. Learn how the fast-growing retail company could virtualize all its data sources and create a semantic layer to connect and deliver critical data-driven insights to all data consumers. This integrated data view empowered data users from marketing, sales, operations, supply chain, and merchandising functions to make critical insights-driven decisions that helped CITY Furniture increase their market share and grow the business beyond the borders of Florida.

Chad Simpson, CIO, City Furniture

Moving enterprise data to the Cloud, whether entirely or partially, is a priority for almost all organizations. The journey to the Cloud can be smooth and indeed will be accelerated when conforming to a clear and well-considered set of best practices that we have laid out. The advantage of following migration best practices are that downtimes and disruptions are virtually eliminated or, in the worst case, significantly minimized. Downtimes and disruptions cause significant damage in the form of lower customer responsiveness as well as expensive resource outlays. In this session by Vaishali Ghiya, Head of Marketplace, Networking, Security, Data & Analytics, AI & ML, Storage at AWS, we will discuss what these best practices exactly are. We will also focus on how cloud migrations can be made seamless by the presence of a logical data fabric to securely connect all systems across on-premises and the cloud while giving business users easy access to all underlying data. You will learn how AWS and Denodo come together to help enterprises migrate their diverse workloads to the cloud without disruption or downtime.

Vaishali Ghiya, Head of Marketplace, Networking, Security, Data & Analytics, AI & ML, Storage, Amazon Web Services (AWS)

Amit Mody, Sr. Manager Business and Integration Architect, Accenture

The road to better data insights is not only dependent on data accessibility, but is even more reliant on the guided approach for data discovery. The data landscape is vast and has become even harder to navigate. Ability to access your data is no longer sufficient, we need systems to guide us to the right data, and more importantly to enable us to ask better questions. We are reliant on the guiding principles in our daily lives, when we shop online, watch movies, and much more. The same concepts apply to our enterprise data. Join our session to learn how Denodo can provide the guidance and guardrails for the better data insights.

Inessa Gerber, Director of Product Management, Denodo

In this session, experts from analyts, end-user, technology partner organizations and Denodo will discuss whether you actually can democratize your data using a logical data fabric and how this breeds success.

Moderator: Eric Kavanagh, Bloor Research

Panelists: Chad Simpson, CIO, City Furniture | Vaishali Ghiya, Head of Marketplace, Networking, Security, Data & Analytics, AI & ML, Storage, Amazon Web Services (AWS) | Inessa Gerber, Director of Product Management, Denodo

We will learn from our speakers today how a logical data fabric helps organisations realise faster insights. They will touch on the recent Forrester total economic impact report, as well as discuss real life customer use cases where a demonstrably faster time to insights helped achieve better decision making, supporting improved business goals.

Katrina Briedis, Senior Product Marketing Manager, Denodo and Robin Tandon, Director of Product Marketing, Denodo

The concept of a data mesh is a relatively recent concept, having first been discussed by Zhamak Dehghani in 2019. In this newscast Ravi Shankar CMO of Denodo will examine how the principals of Data Mesh are a key way of achieving data democratization. He will also set aside plenty of time in the session to answer questions around how best to get started with a data mesh and how data virtualization is an ideal technology to underpin the concepts and processes

Ravi Shankar, SVP & CMO, Denodo

Data marketplaces are great and the idea of democratization is the next frontier to cross for organizations. However when you allow access to data to data citizens, you need to make sure it is properly governed. Here we will discuss how to implement proper data governance using advanced features such as semantic tagging and AI to facilitate a secure data marketplace.

Interviewee: Felix Liao, Direcotor of Product Management, Denodo
Interviewer: Saptarshi Sengupta, Sr. Director of Product Marketing, Denodo

As noted in the recent Forrester Total Economic Impact report on Data Virtualization, Data Virtualization is a key technology in reducing your data replication costs. We will hear from leading practitioners from ABeam Analytics on how Data Virtualization helps their customers reduce their data replication costs and also reduces compliance and privacy risks by maintaning one source of the truth.

Moderator: Katrina Briedis, Senior Product Marketing Manager, Asia-Pacific, Denodo

Panelists: Chris Whitaker, Managing Director, ABeam Analytics | Chris Day, Director APAC Sales Engineering, Denodo | Amine Boulcane, Senior Solution Consultant EMEA & Middle East, Denodo

In 2021 Forrester Research published the Data Virtualization Total Economic Impact Report. In this session we will delve into the details of the report and highlight it's key findings, including to true value of Data Virtualization and its impact on the bottom line.

Speaker: Paul Moxon, SVP Data Architecture and Chief Evangelist, Denodo

In this session, Pablo Alvarez, Global Director of Product Management, takes you for a deep dive into the exciting uses of semantics in data management. He will discuss why semantics are important for your data strategy, and how they radically change the approach to manage things like self service, security and governance. He will showcase some of the new semantic-related features, for example the new tag-based security policies, and how they can greatly simplify securing data at the enterprise level.

Pablo Alvarez, Global Director of Product Management, Denodo

Organizations are modernizing their data infrastructure more and more by shifting workloads from on premise to the cloud. In this panel discussion we will look at:

• How data virtualization helps the journey to the cloud be as inobtrusive to the business user as possible
• Where data vitualization fits into a complex hybrid cloud landscape
• How data virtualization helps IT departments realize true cost benefits

Moderator: Alex Hoehl Senior Director Business Development APAC, Denodo

Panelists: Patrick Meneses Chief Data & Analytics Officer, MDI Novare | Cameron Tuesley CEO, Integral | Syed Rasheed, Principal Product Marketing, Denodo

Denodo 将介绍逻辑数据结编织的概念以及为什么它是最强大和最先进的现代企业级数据集成和数据管理架构，内容将涵盖 AI/ML 的作用、数据目录和其他高级功能。

Stan Wu, Vice President of Sales, Greater China, Denodo

In this session we will look at the key trends in data integration and in particular the role of the data fabric. We will discuss the physical v’s logical approaches and how data virtualization is a key technology to power the logical data fabric. The session will also cover how quick a return on investment may be achieved, examining the key findings of the Forrester total economic impact report and data virtualization.

Myoungsun Namkung, Country Manager, Korea, Denodo

Organisations have struggled for years in understanding their customers, this has mainly been due to not having the righ tdata available at the right point in time. In this session we will discuss the role of Data Virtualization in providing customer 360 degree view and look at some of the success stories our customers have told us about.

Prashant Lele, Director, Denodo

Data democratization is at the center stage of modern data initiatives, and a key element of self-service and data marketplace implementations. At the same time, transition to cloud and hosted environments from an on-prem culture are the norm. They are also the perfect scenario for exposing confidential or sensitive information to criminal elements. Recent regulations, like GDPR, HIPPA and many others, have put an emphasis on secure data handling. However, implementations at the enterprise level are far from easy. Fortunately, it has also been the focus of many data management vendors, including Denodo. For this session, we have assembled a group of industry leaders to review how the industry has adapted to address these issues, how to implement secure practices effectively, and to review future needs and trends.

Moderator: Pablo Alvarez Yanez, Global Director Product Management, Denodo.
Panelists: Steve Totman, Chief Strategy Officer, Privitar | Bruno Grieder, CTO & Co-Founder, Cosmian | Jake Lundberg, Field CTO, HashiCorp.

Denodo将展示数据目录及AI/ML等功能，帮助企业了解数据孤岛的数据，实现数据民主化及数据治理。 如今使用逻辑数据编织的领先企业不仅有效地访问、集成和管理数据，还实现了数据发现的指导方法。

Stanley Zhang, SE at Denodo

In this demo session, we will illustrate the power of Denodo and delve into how Denodo helps organisations make sense of disparate silos of data. We will demonstrate the Denodo advanced data catalogue and our AI/ML features that help organizations democratize and govern their data.

Edwin Robbins, Sales Engineer, Denodo