Big Data Management

As leading industry analysts Gartner suggest, considering the increasing volume of data to be managed nowadays inside the organizations, it is time to stop “collecting” the data into a central repository and start “connecting” to the data at the sources. The rise of new data architectures paradigms, as the Logical Data Fabric, facilitates this approach by gaining a virtual view of the data.With so much valuable data potentially available, it can be frustrating for organizations to discover that they can’t easily work with it because it’s stuck in disconnected silos. Limited data access is a...

Join us for a webinar based on TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, where we will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report.

Chris Walters, Senior Data Solutions Consultant for Denodo, shows how data virtualization enables connectivity to data from anywhere through APIs to use and share data for business processes and AI/ML analytic models.Watch full webinar here.

So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data...

Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise.In...

So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data...

Según Forrester, el Data Fabric ofrece una vista completa, unificada y confiable de los datos de negocio, mediante la integración de fuentes de datos de una manera automática, inteligente y segura que puede procesar grandes volúmenes de información. Analizamos junto con Kellogg Company, L’oréal, Chubb, Campofrio y El Corte Inglés las claves para que un proyecto de Big Data sea realmente efectivo.Descubre cómo:Asegurar el auto-servicio en una plataforma de Big Data y garantizar el gobierno de los datos.Facilitar la reutilización, exploración y descubrimiento de datos para usuarios.Gestionar...

Today’s enterprise data ecosystems look different than in the past. In retrospect, the idea of physically consolidating all data into a single location seems quaint. As digital business initiatives focus on exploiting data rather than merely storing it, the growing communities of savvy enterprise users demand connectivity to data assets wherever they exist. Just like how the Web links data from anywhere, data virtualization enables connectivity to data from anywhere through APIs to use and share data for business processes and AI/ML analytic models.Attend this session and learn about how data...