6 Reasons Why Edge Computing Will Consume the Cloud in the Next 3 Years

No Cloud Required

Securely access and share content from the edge of the network no cloud required Traditional file sync and share is under pressure from new, highly secure, remote access and sharing software that keeps content on the edge of the network. This webinar presentation highlights the opportunity to address the shortfalls of today's cloud file sharing and content collaboration solutions.
Watch Now

Spotlight

In 2011, McKinsey & Company announced the beginning of the Big Data Revolution, and suggested that the age of relational database management systems and SQL-based data manipulation and access methods was drawing to a close because those technologies could not keep pace with what McKinsey projected was a coming deluge of new and complex data sets, for most organizations in most industries. IT infrastructure suppliers — marketing, for the most part, open source technologies in the Hadoop ecosystem rallied around McKinsey’s projection, and tried for a year or two – to unseat the RDBMS as the central component in enterprise-wide decision support architectures. The Big Data industry’s attempt to trigger a wholesale replacement of RDBMSs and SQL-based models with Hadoop, NoSQL databases and other, less useful, technologies, was not a success. But, when the smoke cleared in the industry at the end of 2012, a new architectural model had taken hold in organizations that needed to deal both with traditional, tuple-oriented data from transactional systems as well as with so-called “unstructured” (really, differently-structured) data sets entering the organization from outside: particularly market data, social media data, and large volumes of sensor-based data from what we are now calling the Internet of Things (IoT).


OTHER ON-DEMAND WEBINARS

Cloud Application Security Webinar

AVANTEC AG

Cloud Apps: Safely Using Office 365, Salesforce, and Co Cloud applications offered in the Software-as-a-Service (SaaS) model offer great flexibility and can be easily accessed anywhere in the enterprise via a browser or mobile app. However, most of these services are offered by American companies and have limited security features. Productivity, collaboration and online storage solutions remain vulnerable to malware and unwanted data access.
Watch Now

ADOBE EXPERIENCE CLOUD WEBINAR SERIES

adobe.com

Optimising for mobile doesnt have to start with complex implementations. Join us for an introductory session to create compelling and connected experiences that engage and convert your customers. You will walk away with the following useful tips to manage and deliver fluid experiences across mobile app, websites, single-page applications (SPA), digital signages and IoT devices seamlessly.
Watch Now

Demystifying the Cloud Series - Scaling your Business with the Cloud

Microsoft

Your business naturally needs to change over time, so how do you ensure your IT solutions keep pace? One solution: get the best of both worlds by leveraging your current infrastructure while accessing cloud resources to flexibly scale to meet demand. What flexible, scalable IT infrastructure looks like How to move workloads to the public cloud while maintaining a complete view of your existing infrastructure How to think about storage, backup and recovery for mission critical activities
Watch Now

Merck’s Big Data Journey

Hortonworks

In this webinar, Gerard will present how Merck is leveraging Big Data and best practices you can use to implement similar outcome in you organization.
Watch Now

Spotlight

In 2011, McKinsey & Company announced the beginning of the Big Data Revolution, and suggested that the age of relational database management systems and SQL-based data manipulation and access methods was drawing to a close because those technologies could not keep pace with what McKinsey projected was a coming deluge of new and complex data sets, for most organizations in most industries. IT infrastructure suppliers — marketing, for the most part, open source technologies in the Hadoop ecosystem rallied around McKinsey’s projection, and tried for a year or two – to unseat the RDBMS as the central component in enterprise-wide decision support architectures. The Big Data industry’s attempt to trigger a wholesale replacement of RDBMSs and SQL-based models with Hadoop, NoSQL databases and other, less useful, technologies, was not a success. But, when the smoke cleared in the industry at the end of 2012, a new architectural model had taken hold in organizations that needed to deal both with traditional, tuple-oriented data from transactional systems as well as with so-called “unstructured” (really, differently-structured) data sets entering the organization from outside: particularly market data, social media data, and large volumes of sensor-based data from what we are now calling the Internet of Things (IoT).

resources