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Showing 1 - 10 of 17 pages tagged with: Rick van der Lans
The Business Benefits of Data Virtualization
Data must be front and center for every organization that wants to be data-driven and competitive in the digital transformation era; but in most cases data is deeply buried, complex to access, and almost unattainable for business users. This diminishes its value and potential to optimize business and decision-making processes.  Several data delivery solutions such as data warehouses, self-service BI and data lakes are being used to try to unlock data silos, however each of these solutions presents its own drawbacks. This whitepaper explores another solution - data virtualization – and how it...
How Data Virtualization Support Compliance Initiatives
Panel discussion at Denodo DataFest 2018 on the subject of tackling compliance with data virtualizationPanelists:Rick van der Lans, Independent Analyst, Founder, R20 ConsultancySylvain Dutilh, BI Administrator, LandsbankinnJürgen Bohn, CIO Advisor, SchaefflerMattijs Voet, Information Architect, KadenzaSanjay Kumar, Director - Head of Data Intelligence, TalanModerated by: Becky Smith, Sr. Product Marketing Manager, DenodoVisit Denodo DataFest 2018 to watch all the sessions on-demand.
What Can a Multi-Purpose Data Lake Do Better than a Data Lake?
Data lakes are commonly centralised data repositories. Data needed by data scientists is physically copied to a data lake which serves as a one-storage environment. This way, data scientists can access all the data from only one entry point – a one-stop shop to get the right data. However, such an approach is not always feasible for all the data and limits it’s use to solely data scientists, making it a single-purpose system. So, what’s the solution?A multi-purpose data lake allows a broader and deeper use of the data lake without minimising the potential value for data science and without...
Are You Killing the Benefits of Your Data Lake?
Data lakes are centralized data repositories. Data needed by data scientists is physically copied to a data lake which serves as a one storage environment. This way, data scientists can access all the data from only one entry point – a one-stop shop to get the right data. However, such an approach is not always feasible for all the data and limits it’s use to solely data scientists, making it a single-purpose system. So, what’s the solution? A multi-purpose data lake allows a broader and deeper use of the data lake without minimizing the potential value for data science and without making it...
Architecting the Multi-Purpose Data Lake With Data Virtualization
The original data lake’s architecture has two severe drawbacks. One relates to the physical nature of the data lake which may kill the big data project entirely because it can be “too big” to copy to a central environment. The other relates to the restricted usage of the data lake investment – it’s designed exclusively for data scientists. Download this whitepaper and learn how data virtualization facilitates a multi-purpose data lake by allowing a broader and greater use of the data lake investment without minimizing the potential value for data science or for making it a less flexible...
The Big BI Dilemma - Bimodal Logical Data Warehouse to the Rescue!
 The classic unimodal data warehouse architecture has expired because it is restricted to primarily supporting structured data but not the newer data types such as social, streaming, and IoT data. New BI architecture, such as “logical data warehouse”, is required to augment the traditional and rigid unimodal data warehouse systems with a new bimodal data warehouse architecture to support requirements that are experimental, flexible, explorative, and self-service oriented.Learn from the Logical Data Warehousing expert, Rick van der Lans, about how you can implement an agile data strategy using...
Developing a Bimodal Logical Data Warehouse Architecture Using Data Virtualization
By Independent Industry Analyst Rick van der LansOrganizations can no longer afford to rely on a traditional data warehouse solution to support new business intelligence (BI) requirements along with their existing BI workloads. The rigid development, operation, and management process that characterizes traditional solutions is insufficient to support new BI requirements such as fast and agile report development, investigative analytics, data science and self-service BI.
Global Newsletter: Data Ninja Digest issue 1 (April 2015)
This issue highlights Denodo Express (the world’s only free data virtualization tool), recognition of Denodo’s placement as a leader in the Forrester Q1 2015 Enterprise Data Virtualization Wave, as well as information about upcoming webinars, events and training sessions. You can also see the latest posts from our blog by Suresh Chandarasekaran and Rick van der Lans, and finally, the latest updates on our partners.
International Data Management, Analytics and Business Intelligence Summit 2015
International Data Management, Analytics and Business Intelligence Summit 2015 examines trends in Business Analytics and Business Intelligence and suggests/shows how organizations should manage and govern all this data going forward. The conference will include sessions from industry analysts like Mike Ferguson, Claudia Imhoff, Barry Devlin and Rick van der Lans. Denodo will be part of the International Data Management, Analytics and Business Intelligence Summit 2015 with a dedicated booth and a panelist.
Data Warehousing & BI Summit (The Netherlands)
Denodo is sponsoring the Data Warehousing & BI Summit, the International Conference on Data Warehousing & Business Intelligence with top rated speakers such as Claudia Imhoff, Rick van der Lans, Colin White and Mike Ferguson. We will be presenting our data virtualization platform in our booth, and we will also be hosting a conference showing how data virtualization can help organizations to manage their data.