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Showing 1 - 6 of 6 pages tagged with: Hadoop
Accelerating Business Value with Data Virtualization Solutions
Organizations for all sizes and types face significant data integration challenges today. New data storage and processing technologies, such as Hadoop, Spark, etc., can offer organizations with more insights and actionable information to help drive their operations.  However these new technologies also raise challenges; how can I best leverage this ‘new data’? How can I better utilize my existing data assets? How can I simplify the use of external data? And so on. Data virtualization can help address these challenges by enabling modern flexible data architectures such as data lakes and...
Big Data: Architecture and Performance Considerations in Logical Data Lakes
In this session Alberto Pan, CTO at Denodo, covers the "Architecture and Performance Considerations in the Logical Data Lake." He explains in detail what a Data Lake Architecture looks like, how data virtualization fits into the Logical Data Lake, and goes over some performance tips. This session concludes with an example demonstrating this model's performance.
Hadoop and Data Virtualization - A Case Study by Vizient
Simplified Data Management with Hadoop and Data VirtualizationLearn how Vizient simplified data management and enabled faster data discovery with Hadoop and Data Virtualization.
BNSF Railways
ChallengesInefficient manual integration of disparate data spread across legacy mainframes, enterprise (CRM, ERP, Excel) and Hadoop sourcesDelayed data for business reportingHigh costs in building data integration workflowsSolutionDenodo deployed to modernize transportation scheduling system (5 – 10 year project)Platform used to normalize operational sources, mainframe tables and Hadoop systemsData Virtualization used to provide an abstracted view of legacy data while company migrates to a Linux based architectureBenefitsIncreased efficiency in extracting and combining data due to connectors...
Leveraging Big Data in Your Enterprise with Data Virtualization
Over the last couple of years, Big Data has been big news. If you read the press, it seems that everyone is using Big Data – either that or they are getting left behind. However, the Big Data products, such as Hadoop, are not for the faint-hearted! They introduce new technologies, new data models, and new non-standard APIs into your data infrastructure. This runs the risk of creating more data silos, integration problems, and data governance nightmares. Data Virtualization can eliminate these risks and allow all users to leverage your Big Data assets.Attend & Get Unique Insights into:
Leveraging Big Data in Your Enterprise with Data Virtualization (EMEA)
Over the last couple of years, Big Data has been big news. If you read the press, it seems that everyone is using Big Data – either that or they are getting left behind. However, the Big Data products, such as Hadoop, are not for the faint-hearted! They introduce new technologies, new data models, and new non-standard APIs into your data infrastructure. This runs the risk of creating more data silos, integration problems, and data governance nightmares. Data Virtualization can eliminate these risks and allow all users to leverage your Big Data assets.Attend & Get Unique Insights into: