Data Analytics

Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.Watch this session to learn:How various AWS services (Redshift, S3, RDS) can...

Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.Join this session to learn:How various AWS services (Redshift, S3, RDS) can...

IDC data shows that between 2021 and 2022 there has been a 10% increase in European organizations that are in the more mature stages of their sustainability initiatives; while for 19% of European organizations, over 10% of their IT budget is driven by sustainability-related actions.Data lies at the heart of an ESG framework, yet it remains a major hurdle. For most organizations data is stored in numerous different silos, from mainframes, to mid-range servers, different data warehouses, and of course the cloud. Enterprises have difficulty bringing all of this data together in a coherent way –...

How to enable data-driven transformation in the energy sector.

In recent years, there has been a significant push towards decentralized data organizations where different domains are partially or fully responsible for exposing their own data for analytics.Join us in this session with Daniel Tenreiro, Sales Engineer at Denodo, in which he will share important design guidelines and best practices that can be used to implement many of the decentralization principles, such as the ones defined by the popular data mesh paradigm, using the Denodo Platform, powered by data virtualization.Watch On-Demand & Learn:Overview of decentralized data organizations...

Modern data and analytics requires empowerment of business users who possess domain knowledge and are best suited to have decentralized data ownership. But the current data landscape, which has a heavy dependency on data warehouse, is limited in terms of flexibility, extensibility and comprehensibility.In this session, we will reflect on the findings from the recent BARC report “The Future of Data Architecture - Has the data warehouse had its day?” with one of its authors, Jacqueline Bloemen, Senior Analyst at BARC. Jacqueline will provide us with insights pulled from the global survey...

It’s almost impossible to find any organization that does not have data and analytics as one of their top priorities to further their business objectives. At the same time the data and analytics landscape is evolving faster than ever, making the data management ecosystem more complex than ever before. As data gets increasingly distributed across systems and locations, every forward looking organization should adopt a logical architecture to be future ready.Watch On-Demand and Learn: Key priorities of data and analytics leaders for business transformationWhy a monolithic and physical data...

Presented at Big Data & Analytics Summit ASEAN (BYTES'22)How will Data analytics trends change and accelerate transformation of informed decision making?Using data and moving between various digital touchpoints to harness valuable insightsHow to overcome the challenges of data privacy and differing governance models?

We all heard about Self-Service initiatives, or maybe even implementing one. With the evolution of data landscape we have become data driven, when we should be information driven. Data without context lacks meaning. Data meaning is what drives the valuable business insights. We need to drive our consumers to the right information, while providing guided and governed experience across diverse consumer community.Attend and Learn:What it takes to make Self-Service initiatives successfulHow Governed Data Service Layer enables guided data discovery

Chris Day, Director, APAC Sales Engineering for Denodo, gives a product demonstration about the value and capabilities of implementing data mesh in different environments regarding a virtualization cluster using Denodo Design Studio of the Denodo Platform.Watch full webinar here.