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DV for Horizontal Solutions

Data Virtualization technology offers a number of solutions for the major challenges that today’s businesses are facing. These challenges range from having a Single Customer View across many different data sources to creating, managing and maintaining Logical Data Warehouses.
Denodo offers solutions providing Agile BI for Big Data environments. These Data Virtualization solutions aim to deliver real-time information to end users, so they can make more informed decisions and provide better services.

Horizontal Data Virtualization Solutions Include:

  • Agile BI. The Denodo Platform provides Agile BI for enterprise. This is vital as demand escalates for reports and dashboards with better business insights, more information sources, real-time data for Operational BI, and more self-service capabilities. Traditional BI, based mainly on intensive physical data replication, results in complex multi-tier infrastructures that are not designed to be agile or to deliver real-time business insights to the organization.
  • Big Data solutions. The Denodo Platform offers a common layer to get access to Big Data solutions like Hadoop, NoSQL and traditional enterprise environments. This means they can coexist seamlessly, avoiding "yet another silo" when deploying Big Data solutions. Traditional reporting tools can execute reports through the data virtualization layer with data coming from Hadoop, NoSQL, etc., using SQL queries – making these new data repositories accessible to people who haven’t learned the intricacies of writing Map/Reduce jobs in Hadoop or the API semantics of MongoDB, and so on.
  • Data Governance. Data virtualization can be considered a strategic tool in today’s data integration toolkit. And having a centralized point of access to all kinds of information in the enterprise brings a multitude of benefits.
  • Data Services. Through Denodo Platform it is possible to create a virtual data layer that exposes data services at enterprise scale to any consuming applications in the enterprise.
  • Logical Data Lakes. Physical data lake solutions are constrained by factors such as duplication of data, governance limitations, and the risk of becoming another data silo. Data virtualization allows you to leave all of the source data in place, stored across myriad, heterogeneous systems, and establish a virtual, “logical data lake” for accessing all of the data. To overcome the limitations of physical data lakes, progressive organizations are turning to data virtualization to extend their physical data lakes by creating a “virtual” or “logical” data lake through a layer of abstraction.
  • Logical Data Warehouse. The logical data warehouse augments the capability of an existing enterprise data warehouse allowing the integration of additional sources (data warehouse appliances, Hadoop, NoSQL, etc.) and offering greater flexibility to publish the required data sets in consumable formats to multiple applications.
  • Single Customer View. For enterprises, having a single customer view that offers a 360º view of key business entities such as customer, product, patient, etc. is a critical requirement in many business processes today.
  • Web, SaaS and Cloud Integration Services. Denodo advanced data virtualization technology allows Web, SaaS and Cloud integration for multiple purposes like Web data extraction, Cloud / SaaS Application Integration, B2B integration and social media integration.

Gartner MQ