Analytics

Presented at TDWI VIRTUAL SUMMIT - Modernizing Data ManagementWhile the technological advances of the past decade have addressed the scale of data processing and data storage, they have failed to address scale in other dimensions: proliferation of sources of data, diversity of data types and user persona, and speed of response to change. The essence of the data mesh and data fabric approaches is that it puts the customer first and focuses on outcomes instead of outputs.In this session, Saptarshi Sengupta, Senior Director of Product Marketing at Denodo, will address key considerations and...

Data architecture is more relevant than ever today, because so many user organizations are migrating data to the cloud, modernizing analytics and data warehouses, deploying data lakes and lakehouses, and adopting new practices for data virtualization, sharing, monetization, and marketplaces.These and other data-driven use cases demand massive volumes of data in every structure imaginable, together with a wide range of processing capabilities. A well-designed, cloud-based data architecture provides a home for such highly diverse data and the numerous use cases it enables.This Tactical...

Modernizing government agencies and departments can be arduous, but some tend to look beyond the realm of difficulty. Insiel, by laying a strong data foundation, is not only aggressively digitizing citizen services in Italy’s Friuli Venezia Giulia (FVG) region, but is also venturing into more modern data science and analytics use cases for advancing innovation and serving the relevant stakeholders efficiently and effectively.

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Maximizing the value of data platforms with data integration and data management capabilities is essential for organizations that want to become data- and analytics-driven. Increasingly—but not entirely—based in the cloud, these systems and services are the engine of modern applications and smarter processes for higher business efficiency and innovation.Research indicates the need for tighter integration between two traditionally separate worlds: one devoted to analytics generation and the data integration, platforms, and management that support analytics, and the other devoted to mission-...

Agencies that have had legacy data warehouse, data marts, and analytics reporting technologies for the last 10 plus years are looking to modernize them, especially to a cloud equivalent. For e.g., many are migrating from on-premises data warehouses like Teradata to its cloud data warehouses equivalents like Snowflake. However, such transition is sure to impact internal and external data consumers in many ways: applications not being available due to downtime during the migration, training on the new analytics technologies, and new ways to search, find, and use the data in the new system. Such...

Data virtualization is empowering business analysts in manufacturing enterprises to gain real-time access to integrated data across the entire organization

As organizations strive to compete in a dynamic environment, they are looking to modernize their data and analytics environment to help. This modernization includes implementing new technologies such as scalable cloud platforms and unified approaches. It includes utilizing more advanced analytics such as geospatial analytics and machine learning. It includes new paradigms such as the data fabric and the data mesh. Moreover, as part of this, modernization may include new organizational constructs such as the data office and new teams such as DataOps, MLOps, and data literacy enablement teams.

Are organizations ready for the real-time revolution? Somewhat - but they are only just beginning to embrace it. Typically, business decision makers have had to analyze historical data to assemble patterns that might predict upcoming events. However, with the advent of real-time data and analytics, insights on present events, and the use of leading-edge AI technologies, inferences may be drawn about future events.

Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources can be a challenge when dealing with a complex and big data landscape. Building the right data services architecture can help alleviate the pain points.Data virtualization enables companies to gain maximum benefits from cloud initiatives in form of agility, cost savings, and more.Tune in to this session to discover:How Denodo Platform's multi-location architecture can simplify and accelerate cloud migrationBest practices for deploying the Denodo Platform in the cloudHow you can leverage...