AMD Reveals ‘Instinct’ for Machine Intelligence

Virtual Desktop Tools

Article | August 12, 2022

Why Should Companies Care about Data Virtualization? Data is everywhere. With each passing day, companies generate more data than ever before, and what exactly can they do with all this data? Is it just a matter of storing it? Or should they manage and integrate their data from the various sources? How can they store, manage, integrate and utilize their data to gain information that is of critical value to their business? As they say, knowledge is power, but knowledge without action is useless. This is where the Denodo Platform comes in. The Denodo Platform gives companies the flexibility to evolve their data strategies, migrate to the cloud, or logically unify their data warehouses and data lakes, without affecting business. This powerful platform offers a variety of subscription options that can benefit companies immensely. For example, companies often start out with individual projects using a Denodo Professional subscription, but in a short period of time they end up adding more and more data sources and move on to other Denodo subscriptions such as Denodo Enterprise or Denodo Enterprise Plus. The upgrade process is very easy to establish; in fact, it can be done in less than a day once the cloud marketplace is chosen (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). In as little as six weeks companies can realize real business benefits from managing and utilizing their data effectively. A Bridging Layer Data virtualization has been around for quite some time now. Denodo’s founders, Angel Viña and Alberto Pan, have been involved in data virtualization from as far back as the 1990’s. If you’re not familiar with data virtualization, here is a quick summary. Data virtualization is the cornerstone to a logical data architecture, whether it be a logical data warehouse, logical data fabric, data mesh, or even a data hub. All of these architectures are best served by our principals Combine (bring together all your data sources), Connect (into a logical single view) and Consume (through standard connectors to your favorite BI/data science tools or through our easy-to-use robust API’s). Data virtualization is the bridge that joins multiple data sources to fuel analytics. It is also the logical data layer that effectively integrates data silos across disparate systems, manages unified data for centralized security, and delivers it to business users in real time. Economic Benefits in Less Than 6 weeks with Data Virtualization? In a short duration, how can companies benefit from choosing data virtualization as a data management solution? To answer this question, below are some very interesting KPI’s discussed in the recently released Forrester study on the Total Economic Impact of Data Virtualization. For example, companies that have implemented data virtualization have seen an 83% increase in business user productivity. Mainly this is due to the business-centric way a data virtualization platform is delivered. When you implement data virtualization, you provide business users with an easy to access democratized interface to their data needs. The second KPI to note is a 67% reduction in development resources. With data virtualization, you connect to the data, you do not copy it. This means once it is set up, there is a significant reduction in the need for data integration engineers, as data remains in the source location and is not copied around the enterprise. Finally, companies are reporting a 65% improvement in data access speeds above and beyond more traditional approaches such as extract, transform, and load (ETL) processes. A Modern Solution for an Age-Old Problem To understand how data virtualization can help elevate projects to an enterprise level, we can share a few use cases in which companies have leveraged data virtualization to solve their business problems across several different industries. For example, in finance and banking we often see use cases in which data virtualization can be used as a unifying platform to help improve compliance and reporting. In retail, we see use cases including predictive analytics in supply chains as well as next and best actions from a unified view of the customer. There are many uses for data virtualization in a wider variety of situations, such as in healthcare and government agencies. Companies use the Denodo Platform to help data scientists understand key trends and activities, both sociologically as well as economically. In a nutshell, if data exists in more than one source, then the Denodo Platform acts as the unifying platform that connects, combines and allows users to consume the data in a timely, cost-effective manner.

Virtual Desktop Strategies

Article | July 26, 2022

SD-WANs are a critical component of digital transformation. Using software-defined networking (SDN) and virtual network functions (VNF) concepts to build and manage a wide area network (WAN) helps businesses successfully transition their infrastructure to the cloud by securely connecting hybrid multicloud architectures. But SD-WANs can do more than just facilitate a transition to the cloud —they make it faster and less expensive to expand your business.

Server Hypervisors

Article | September 9, 2022

Businesses use a lot of technology to keep themselves competitive and Businesses use a lot of technology to keep themselves competitive and operationally efficient. One way that organizations use to make their technology infrastructure more accessible is through the use of virtualization. Let’s discuss what virtualization is, how it benefits businesses, and some examples of how you might consider leveraging virtualization to your company’s benefit. Virtualization for Hardware and Software Virtualization in its most basic sense is taking something and making it virtual. In regards to hardware and software, it involves taking these parts of your technology infrastructure and making them available in a virtual environment. Virtual applications and hardware solutions can be deployed to the cloud so that they can be accessed by any online device. Some examples of virtualization might include creating virtual machines, like workstations and server units, that are hosted in a virtual environment for as-needed access

Article | April 14, 2021

Danny Cobb, fellow and vice president of engineering for Dell Technologies’ telco systems business, remembers his company cruising into early 2020: Kicking off a new fiscal year with its operating plan in place, supply chain nailed down and factories humming; people coming into the office each day to the usual routine of looking for parking spots and taking laptops down to the cafeteria. Then came March, and the first wave of the Covid-19 pandemic hit U.S. shores. In the course of one weekend, Dell pivoted to having more than 90% of its workforce working from home. That meant a dramatic shift in its network needs and operations – one that was only able to be accomplished so quickly because of virtualized infrastructure.