High Tech

Leveraging Data Virtualization To Avoid Cloud PitfallsCompanies are rapidly moving from desktop apps to cloud-based apps, and they’re moving data from physical data centers to cloud-based repositories. These trends show no signs of slowing down; IDG predicts that by 2018, the typical IT department will house most of its apps and platforms in the cloud. Unfortunately, both app migrations and data migrations are fraught with challenges, and companies will need to overcome these challenges if they hope to take full advantage of cloud benefits. 

In this video, Paul Balas, Former Vice President of Information and Analytics at Digital Realty, discusses why they chose the Denodo Platform and how data virtualization helped them go to market with new combined products and services.This customer case study video will cover:Digital Realty’s specific business challengeHow they used data virtualization to address this business challengeWhat the benefits of data virtualization are in their particular caseWhy they chose the Denodo platformHow they plan to utilize the Denodo platform and data virtualization in future

Governance, Risk Management and Compliance, (GRC) StreamlinedGovernance, risk management, and compliance (GRC) are three formidable topics in their own right, but they are addressed together because a lapse in one area can create an immediate lapse in the other two. When operating effectively, the three combined facets of GRC enable an organization to survive in a demanding regulatory environment, so that it has a chance to thrive. Conversely, if any of these facets are threatened in an organization, the organization will not be able to remain competitive for long. And although financial...

Organizations can provide a true 360-degree view of critical master data entities by exploiting big data like social data. MDM provides a meaningful context to big data and a complete view of critical master data entities such as product, customer and employee.In this presentation, Semarchy will discuss:Why MDM is crucial to the success of big data projects.How to combine MDM and Data Virtualization to provide a complete view of the customer.Practical use cases representing big data and MDM. Visit the Fast Data Strategy Virtual Summit page for details on all the sessions.

The last 10 years we have focused on accumulating untold volumes of data-at-rest, predicted to grow to 40+Zetabytes by the end of the decade. The next frontier master is data-in-motion – the data that is flowing from billions of sensors that are instrumenting every machine, device and person. Unique actionable intelligence lives at the intersection of these two domains when IoT data meets machine learning and artificial intelligence. Hear how leading organizations harness next-gen connected data platforms to drive transformative data initiatives.Listen to Piet Loubser, VP of Product and...

Enhance your data warehouse with a logical data warehouse, for unbridled agilityBusiness depends on actionable intelligence, and for years this has been furnished by business intelligence tools, which pull the data from a data warehouse. Business stakeholders have come to expect that all of the relevant data is copied to the data warehouse, even if they sometimes have to wait a day for the latest data to arrive. The problem is, some of the newer sources of data, such as data from social media platforms, data from in-process transactions, or raw data about the movement of machines, is just not...

A complete view of the customer begins with a single view of the customer. However, a customer view is not fully complete until it includes a view into all of the pertinent transactions that a customer has made. With this view, companies know who each company is, what he or she has purchased, and what interactions he or she has recently engaged in, so they can treat all customers like highly respected individuals. Denodo and Semarchy together enable companies to achieve a complete view of the customer by combining data virtualization technology with master data management (MDM).  Download...

Leverage Data Virtualization to Manage Data Access from a Single Point.

Leveraging Data Virtualization to Supercharge Cloud DeploymentsOrganizations are moving to cloud-based infrastructure, to enable SaaS products and other service-oriented initiatives, and forgo many of the costs associated with maintaining on-premises infrastructure. But transitions to the cloud are not easy.As a first step, many organizations move data from multiple sources into cloud based data lakes, only to find that though the data is now stored in a single location, the data is still organized into silos. Organizations also find that security presents additional challenges, since the...

Data lakes are en vogue, especially when you based it on avant-garde in-memory technologies such as Spark. However, these investments don’t deliver the anticipated benefits when they are not properly governed.