Data Virtualization

Presented at Chief Data Officer Live Series 2021, ASEAN (August Edition)While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best-of-breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform, and provide real-time data integration while delivering a self-service data platform to business users.  Watch this on-demand session to learn how big data fabric...

In this webinar, we’ll be tackling the question of where our data is and how we can avoid it falling into a black hole.We’ll examine how data blackholes and silos come to be and the challenges these pose to organisations. We will also look at the impact of data silos as organisations adopt more complex multi-cloud setups. Finally, we will discuss the opportunities a logical data fabric poses to assist organisations to avoid data silos and manage data in a centrally governed and controlled environment.Join us and Barc’s Jacqueline Bloemen on this webinar to get the answer and further insights...

Watch our webinar to find out how to lighten the load by redefining the migration process. We’ll show why you never have to burden yourself with “data hoarding” again. Discover how to simplify your SAP implementations, while dramatically reducing your data footprint, costs, management and security concerns.SAP S/4HANA migrations, updates, and conversions no longer require the burden of collecting, managing, and protecting data. Using data virtualization dramatically reduces transition time, data costs, infrastructure and security/PII management while maintaining access to centralized...

Self-service Analytics BI is often quoted by many - ie, allow users to discover and access data without having to ask IT to create a data mart, or by allowing users to directly export/copy the data from the data sources themselves into their analytics tools and systems. The challenge is not just to provide access to the data – even from Excel this can be done - but to do this in real time without creating processing overhead, while getting trusted data, with the best response time possible, in a managed, governed and secure way in order for these users to trust the output of the analysis.

Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas.Data Virtualization offers a single logical point of access, avoiding point-to-point connections from consuming applications to the information sources. As a single point of data access for applications, it is the ideal place to enforce access security restrictions that can be defined in terms of the canonical model with a very fine granularity.Denodo has been successfully deployed in many organizations...

Presented at NYSCIO Virtual Conference (US)The only way many organizations, including higher education institutions, survived the Coronavirus pandemic and some thrived was through digital transformation of their businesses. But such transition from a physical to a virtual way of doing business, such as from in-person to virtual classes, necessitated a rapid need for data and associated technology. Denodo, which always has a strong ethos in corporate social responsibility, quickly established the Coronavirus Data Portal (CDP) using data virtualization technology to help its worldwide customers...

According to Dresner Advisory’s 2020 Self-Service Business Intelligence Market Study, 62% of the responding organizations say self-service BI is critical for their business. If we look deeper into the need for today’s self-service BI, it’s beyond some Executives and Business Users being enabled by IT for self-service dashboarding or report generation. Predictive analytics, self-service data preparation, collaborative data exploration are all different facets of new generation self-service BI. While democratization of data for self-service BI holds many benefits, strict data governance becomes...

Presented at Chief Data Officer July 2021 (A/NZ)The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. Data Virtualization is a modern data integration technique in which a single semantic layer can be built containing semantic definitions of all of the underlying sources.Watch on-demand this session to understand how data virtualization:Helps organisations...

Moving data to the Cloud is a priority for many organizations. Benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. This journey to the Cloud is not easy: moving application(s) and data to the Cloud can be challenging and entails disruption of business, when not carefully managed. When systems are being migrated, the resultant hybrid (or even multi-) Cloud architecture is, by definition, more complex AND making it harder/more costly to retrieve the data we need.Data Virtualization can help organizations at all stages of a Cloud journey - during migration...

Companies with corporate data lakes also need a strategy for how to best integrate them with their overall data fabric. To take full advantage of a data lake, data architects must determine what data belongs in the Lake vs. other sources, how end users are going to find and connect to the data they need as well as the best way to leverage the processing power of the data lake. This webinar will provide you with a deep dive look at how the Denodo Platform for data virtualization enables companies to maximize their investment in their corporate data lake.Watch on-demand this webinar to learn:...