Showing 1 - 10 of 25 pages tagged with: Big Data
Data lakes are en vogue, especially when you based it on avant-garde in-memory technologies such as Spark. However, these investments don’t deliver the anticipated benefits when they are not properly governed in conjunction with legacy data warehouses and other data source.In this presentation, the Enterprise Architect at Autodesk, Mark Eaton will present:The philosophies behind agile, modern (Spark-based) data architecturesHow to use a logical data warehouse/ data lake as part of the data governance strategyBuilding an information architecture – dos and don’tsThis session is part of the...
We are going to Hortonworks’ Data Roadshow in Paris as a Gold Sponsor, and we would love to see you there!It will be a full day of content-rich sessions on the Future of Data, Open and Connected Data Platforms, Apache™ Spark at Scale, Streaming solutions, Cloud solutions, and Business and Industry Transformations via a Big Data journey.Drop by our booth, get a free Data Ninja T-shirt and learn how Denodo Data Virtualization can benefit your organization.
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...
Manage your data lakes using data virtualization to overcome the challenges of big data and power your analytics with reliable insights.
Come visit Denodo at Big Data Tech 2016 in Florence (Italy). We will discuss the key to success of Big Data projects based on existing customer cases. This event focuses on end users and how the extraction of value from data has become the new driver of the economy for their sectors.
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.
This session will explore key features in the Denodo Platform that help with the common challenges found in large deployments: hundreds of developers, thousands of queries, and multiple environments. The features that will be highlighted include integration with version control systems, metadata synchronization and migration, monitoring and diagnosing, and resource management.
Correctly Architecting your Solutions for Analytical & Operational Uses reviews the two main types of use cases that can be solved with the Denodo Platform. Both high concurrency scenarios and big reporting use cases will be discussed in a comparative way, explaining the different approaches that you must take to be successful in any situation.
In this session, Mark Pritchard, Sales Engineering Director at Denodo discusses how Denodo expedites the use of data by business users through its new self-service discovery and search capabilities.
In this presentation, executives from Denodo preview the new Denodo Platform 6.0 release that delivers Dynamic Query Optimizer, cloud offering on Amazon Web Services, and self-service data discovery and search. Over 30 analysts, led by Claudia Imhoff, provide input on strategic direction and benefits of Denodo 6.0 to the data virtualization and the broader data integration market.