Through the improvement of data management, organisations can ensure that insights are easier and quicker to determine.
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, industry partnerships, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
Così il Logical Data Fabric velocizza sfruttamento e governance del dato.
Many organisations see the hybrid cloud and multi-cloud models as critical to their present business requirements, and to their future ones too. Organisations are paying more attention to the use of containers to help with simple and automated portability and scaling that can play an important role in accelerating cloud projects and deliverables; to cloud marketplaces that can present curated catalogs and e-stores for external clients; and to AWS and Azure’s part in cloud use cases, such as virtual data lakes, analytics, SaaS integration, cloud data warehouse modernization, and machine learning in the cloud.
Il traguardo resta lontano, in particolare per la carenza di strutture e figure specifiche e di regole e metodologie condivise.
France Grenot, Director, IT Data Enterprise & Customer & Commercial, Southwest Airlines, speaks with Ravi Shankar, Senior VP and Chief Marketing Officer, Denodo, about the company’s data management strategy and how it leverages data for better customer service.
The data virtualization paradox indicates as much about the current data landscape as it does the needs of the modern enterprise. On the one hand, it hasn’t necessarily gone anywhere or, aside from the inclusion of a couple key features, hasn’t deviated from its chief value proposition of providing an abstraction layer of distributed data assets.
Nelle scorse settimane abbiamo introdotto il tema della Data Virtualization parlando in prima battuta dei concetti chiave e poi andando ad indicare le figure professionali che in azienda possono trarre vantaggio dall’utilizzo della DV.
There has been a steady take-up of data virtualisation technology across industries over the last few years. This is largely due to the many benefits that the technology brings to data management and usage. In fact, data virtualisation is slowly being seen as a critical foundation for modern data architectures.
Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market.