Data quality (DQ) is ensuring that data is fit for the purpose it is used. Poor DQ may come from human errors, technical conversion errors or inappropriate usage of data. Data quality initiatives aim to improve DQ within an enterprise to support the business. But both experience as well as science show that there is something wrong with...
Discover Denodo
You'll find us at conferences and summits, meetups and local events.Data quality (DQ) is ensuring that data is fit for the purpose it is used. Poor DQ may come from human errors, technical conversion errors or inappropriate usage of data. Data quality initiatives aim to improve DQ within an enterprise to support the business. But both experience as well as science show that there is something wrong with...
Los insights de negocio deben llegar a todos los niveles de gestión de las organizaciones empresariales, así como a los puntos de engagement con los clientes. Este proceso de democratización de datos es clave para que una empresa pueda ser considerada data-driven.
The CIO mandate for business agility and productivity with data infrastructure (INDIA & KOREA)
According to PWC’s What’s important to CIOs in 2024, a vital goal for CIOs is achieving return on investment (ROI) by making the right moves when it comes to foundational cloud systems, data and IT operations, as well as how the organization uses new technology to work efficiently and serve customers.
The CIO mandate for business agility and productivity with data infrastructure (ANZ & ASEAN)
According to PWC’s What’s important to CIOs in 2024, a vital goal for CIOs is achieving return on investment (ROI) by making the right moves when it comes to foundational cloud systems, data and IT operations, as well as how the organization uses new technology to work efficiently and serve customers.
本ウェビナーでは、データ仮想化技術を用いたデータ統合プラットフォームであるDenodoとクラウドデータウェアハウス(DWH)の組み合わせがビジネスに与える利点について解説します。実際の導入事例や成功事例を交えながら、この組み合わせの具体的な利点について30分で簡潔にご紹介します。
Lunch & Learn Australia: Delivering the next generation of innovative financial services
The financial industry faces many challenges as a result of heightened regulatory requirements, the growing importance of ESG, and the emergence of FinTech. Addressing these challenges requires a modern approach to data management that will allow financial institutions to leverage an ever-expanding pool of diverse data sources and to...
本セミナーでは、データ分析を高度化とはどういうものか概観し、直面しやすいデータ基盤に関する課題についてお話しします。また、データ仮想化という技術を用いることによって既存のデータ基盤を生かしながらユーザーの要望に応えていくかをDenodoの機能を使って説明していきます。終盤のデモでは、Denodo上のデータを高度な分析を行える分析ツールのSASとシームレスに組み合わせた環境で、機械学習のモデル作成デモを見ていただきます。データ分析の高度化についての概論の中で、昨今話題となっている生成AIとデータ分析の高度化の関係についてもお話します。
Data quality (DQ) is ensuring that data is fit for the purpose it is used. Poor DQ may come from human errors, technical conversion errors or inappropriate usage of data. Data quality initiatives aim to improve DQ within an enterprise to support the business. But both experience as well as science show that there is something wrong with...
Tenho ferramentas de BI para autoatendimento, portanto, não preciso de virtualização de dados.
Bem-vindo à revolução da inteligência artificial generativa (IA) e democratização dos dados! Na plataforma Denodo, estamos liderando o caminho para transformar a maneira como as empresas acessam e utilizam seus dados.Junte-se a nós em um webinar exclusivo e descubra por que a democratização de dados e o acesso por autoatendimento são...
Las herramientas tradicionales de gobierno de datos en las organizaciones permiten la catalogación de los activos de datos y a su vez, la definición y gestión de políticas de gobierno sobre los mismos a escala empresarial. Sin embargo, en muchos casos se quedan en meros catálogos desacoplados de los sistemas de la empresa.
When a new version of enterprise software is released, it is not a matter of just getting the new software. Any organization needs to be ready for it from multiple other aspects such as infrastructure, team, and related costs. This requires planning and interactions between the different stakeholders months in advance.
When a new version of enterprise software is released, it is not a matter of just getting the new software. Any organization needs to be ready for it from multiple other aspects such as infrastructure, team, and related costs. This requires planning and interactions between the different stakeholders months in advance.
When a new version of enterprise software is released, it is not a matter of just getting the new software. Any organization needs to be ready for it from multiple other aspects such as infrastructure, team, and related costs. This requires planning and interactions between the different stakeholders months in advance.
Eu tenho governança de dados, mas minha organização não a utiliza
Las arquitecturas de gestión de datos han evolucionado durante los últimos años hacia nuevos modelos, como los data lakes o el data lakehouse, que en muchos casos conviven con sistemas de data warehouse tradicionales, tanto on-prem como en la nube. La separación entre la computación y el almacenamiento ha facilitado la aparición de...
Data governance strategies play a crucial role in streamlining workflows, enhancing data quality, and accelerating time-to-insight. Join us for an enlightening session featuring Antonio Castelo from Collibra and Raúl Beiroa from Denodo. Together, they will explore how this integration fosters seamless communication and collaboration,...
Data governance strategies play a crucial role in streamlining workflows, enhancing data quality, and accelerating time-to-insight. Join us for an enlightening session featuring Antonio Castelo from Collibra and Raúl Beiroa from Denodo. Together, they will explore how this integration fosters seamless communication and collaboration,...
Data governance strategies play a crucial role in streamlining workflows, enhancing data quality, and accelerating time-to-insight. Join us for an enlightening session featuring Antonio Castelo from Collibra and Raúl Beiroa from Denodo. Together, they will explore how this integration fosters seamless communication and collaboration,...
Las aplicaciones empresariales necesitan acceder a datos unificados clave de entidades de negocio como pueden ser clientes, productos, contratos, reclamaciones, etc. En muchos casos, esta información se encuentra distribuida en multitud de sistemas, lo que obliga a la empresa a abordar proyectos de integración complejos y costosos,...
Eu tenho um data lake, portanto, não preciso de virtualização de dados
Cloud Modernization: Arquitecturas Híbridas y Acceso Unificado a los Datos (Español)
Muchas empresas se encuentran en un proceso de modernización de sus infraestructuras mediante la migración de sus sistemas de gestión de datos a la nube. Esto ha llevado a la adopción de arquitecturas híbridas y multi-cloud.
Meu problema é a apificação, portanto, não preciso de VD
Modernização da nuvem: arquiteturas híbridas e acesso unificado a dados (Português)
Toda a minha stack está em um hyperscaler na nuvem, portanto, não preciso de virtualização de dados