• Spark and Data Virtualization

    Spark and Data Virtualization: Competitors or Cooperators?

    Apache Spark and data virtualization enables us to extract data from heterogeneous data sources, integrate and process that data, and make it available for a wide range of reporting and analytics tools. Both do so without the need to store…

  • Comparing ETL with Data Virtualization Makes No Sense

    Comparing ETL with Data Virtualization Makes No Sense

    Some still think it makes sense to compare ETL tools with data virtualization servers. Let me be clear, it really doesn’t. Unquestionably, both tool categories belong to the class of data integration tools, like data replication tools, data wrangling tools,…

  • data abstraction data migration rick van der lans

    Easy Database Migration with Data Virtualization

    Some still see data virtualization as an alternative technology to ETL. For them it’s nothing more than another style of data integration. However, data virtualization is much more. Data virtualization is about abstraction. It’s about data consumers being decoupled from…

  • The Virtual Data Lake for a Data Scientist

    In the previous article we reviewed the architectural elements of the virtual data lake, dug deeper into its technical implications. In this post, we will review the architectural elements of the virtual data lake, and will discuss why a virtual…

  • factories of the future

    On the Edge: Smart Factories of the Future

    Today’s data economy depends on the data generated by people, and increasingly by the devices, appliances, and machines that make up the IoT. Data is enabling the granular targeting of people’s affinities, so people are expecting more personalized products. Although…

  • artificial-intelligence-featured

    Advanced Technology Meets Advanced Intelligence

    Neudesic and Denodo Accelerate Adoption of Hybrid Cloud Solutions Using Data Virtualization Companies that leverage data virtualization can quickly achieve their data and analytics goals, but the companies that get there first begin with a solid understanding of their desired…

  • Gartner-Magic-Quadrant-2018-Denodo-Challengers

    4 Key Takeaways from the Gartner Magic Quadrant for Data Integration Tools

    The Magic Quadrant (MQ) is an influential series of reports published annually by the IT consulting firm Gartner, Inc. The latest edition of the MQ for Data Integration has been recently released (you can read it here) and it identifies…

No Data Lineage? No Trust!

No Data Lineage? No Trust!

The awareness of what we know is not just a nice-to-have, but the very essence of knowledge itself. Knowledge does not exist by acts of faith; it requires transparency, trust, and communicability. “Knowing something” means knowing the entire path that…

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Data Virtualization is the CDO’s Best Friend

Data Virtualization is the CDO’s Best Friend

According to CIO magazine, the first chief data officer (CDO) was employed at Capital One in 2002,  and since then the role has become widespread, driven by the recent explosion of big data. The CDO role has a variety of…

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Aligning Data Virtualization, Streaming, and ETL

Aligning Data Virtualization, Streaming, and ETL

What do data virtualization, streaming, and extract, transform, and load (ETL) processes have in common? They all deliver data from disparate sources to the business intelligence (BI), analytics, and other applications used by businesspeople, data scientists, and analysts. Like utilities,…

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Streamlining Data Virtualization with AI and ML

Streamlining Data Virtualization with AI and ML

These days, artificial intelligence (AI) and machine learning (ML) seem to be everywhere around us, answering questions, designing components, and even driving cars. Can they also help with data virtualization? For sure. But first, let’s make sure that when we…

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