Denodo DataFest 2021 EMEA

How real is multi-cloud for enterprises? Challenges of multi-cloud architecture

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.

Data Virtualization and Data Governance, Security, and Privacy

In this panel discussion, Robin Tandon, Director of Product Marketing at Denodo, interviews a Denodo customer, Jan Swanepoel, Multi-Product Technical Specialist for Enterprise Data Services at Nedbank; a Denodo partner, Douglas Clarke, Divisional Director at BITanium; and Alexey Sidorov, Data Science Guru and Evangelist at Denodo; to discuss the role of data virtualization in enabling data governance, even in highly challenging environments.

Denodo Data Innovation Award: The Largest Logical Data Warehouse on the Planet! And Why It Matters?

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.

Denodo Data Innovation Award: Realizing a Data Driven Strategy Through Data Virtualization at Engie

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.

Denodo From POC to Production

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.

Solution Centric Architectural Presentation - A Journey from Data Paralysis to Data Analysis

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.

The Proof is in the Pudding

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.

Rapidly Enable Tangible Business Value through Data Virtualization

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.

Data Minimization

The data minimization principle says that organizations must only process personal information that they actually need to achieve the objective of processing the data. Join this session to learn about data minimization and its principles and understand how it interacts with your way of working and design decisions in a modern data architecture

Key Considerations While Rolling Out Denodo Platform

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.

Data & Analytics Cloud Migrations Overcoming Challenges to become Data Driven

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.