Data Warehousing

Showing 1 - 6 of 6 pages tagged with: Data Warehousing

Analyst Webinar: The Role of a Logical Architecture in Modern Data and Analytics

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...

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The Rise of Logical Data Architecture - Breaking the Data Gravity Notion (Middle East)

As leading industry analysts Gartner suggest, considering the increasing volume of data to be managed nowadays inside the organizations, it is time to stop “collecting” the data into a central repository and start “connecting” to the data at the sources. The rise of new data architectures paradigms, as the Logical Data Fabric, facilitates this approach by gaining a virtual view of the data.With so much valuable data potentially available, it can be frustrating for organizations to discover that they can’t easily work with it because it’s stuck in disconnected silos. Limited data access is a...

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Analyst Webinar: Logical Data Fabric to the Rescue

In this webinar, we will hear from leading independent business intelligence analyst, Rick van der Lans, the benefits of creating a logical data fabric and why data fabrics, in general, are the only successful modern architecture for data integration and data management projects. We will learn from Rick how a logical data fabric smooths away the challenges of all of the competing data architectures business users, data scientists, and other data consumers come across when interfacing with disparate data sources in data lakes, data hubs, data warehouses, and other data silos.Rick will discuss...

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Data Virtualization: From Zero to Hero (Middle East)

At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.Join us for this webinar to become a "Data...

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Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration

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:...

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Logical Data Fabric for Building a Unified Data Warehouse and Data Lake

Why a logical data fabric is the cornerstone to Building a Unified Data Warehouse and Data Lake

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