Big Data

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...

A key aspect for achieving digital transformation is the data. Government organizations are well aware of the challenges that amount from increasing volume and velocity of data generation from multiple sources, such as enterprise applications, social media, integrated systems and sensory data. This webinar will discover how to utilize big data in the government sector and how to overcome data challenges to accelerate digital transformation.Key points:Digital transformation in the government sector.The importance of data in digital transformation.The challenges of big data.The concept of data...

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...

A shift to the cloud is a common element of any current data strategy. However, a successful transition to the cloud is not easy and can take years. It comes with security challenges, changes in downstream and upstream applications, and new ways to operate and deploy software. An abstraction layer that decouples data access from storage and processing can be a key element to enable a smooth journey to the cloud. Attend this webinar to learn more about:How to use Data Virtualization to gradually change data systems without impacting business operationsHow Denodo integrates with the larger...

Leading Biopharma Company Leverages Data Virtualization to Gain Speed, Efficiency, and Agility. This customer case study will cover: ­Company's business challenge ­How they used data virtualization to address this business challenge ­ ­Why they chose the Denodo platformWhat the benefits of data virtualization are in their particular case

DNB is Norway's largest financial services group and one of the largest in the Nordic region in terms of market capitalisation. The Group offers a full range of financial services, including loans, savings, advisory services, insurance and pension products for retail and corporate customers. In this video Olav Lognvik, Data Platform Lead, DNB discusses in detail the data virtualization use cases.This customer case study video will cover: ­ DNBs business challenge ­How they used data virtualization to address this business challenge ­What the benefits of data virtualization are in their...