Overwhelmingly, Executives report the driving need for DevOps and adoption of automation and orchestration frameworks is driven by scalability needs and reduction of OpEx. However, Execs often think that it’s the frameworks or tools themselves that bring the value. Without knowledge and expertise, the tools fall short - the true value of DevOps is not realized.

The Rythmos Blog

Data as a Service the Latest "as-a-service" Offering

Posted by Rythmos on Feb 15, 2019 8:00:00 AM

The as-a-service, or “aaS industry,” is in a technological Renaissance. More and more companies require cloud-based services in some capacity or another, encouraging more and more aaS providers to offer more accomplished and substantial services.

In the field of possible directions to go, few are more productive than data-as-a-service, or DaaS. As a relatively new model, DaaS has opened new possibilities in security, data organization, and storage.

So what is DaaS, how is it changing the digital landscape, and where is it going? We look at the complexities of this new industry-within-an-industry.

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Topics: Big Data, fast data, actionable data, data integration, Data as a Service, Business Intelligence

Overview of Three Business Intelligence Tools

Posted by Rythmos on Oct 16, 2018 3:34:40 PM

Business intelligence tools give your business the useful and valuable information it needs to maximize strategic decisions. Technology has only become more important for industry leaders who rely on tools and resources to stay ahead of their competition and improve the company's overall performance.

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Topics: Big Data, Business Intelligence Tools, Integration

Is your data big and fast?

Posted by Andy Floresca on May 31, 2018 8:27:52 AM

Big Data was one of the hottest buzzwords back in 2015. Companies were well underway in their investments into arriving at better answers from their massive amounts of data. But, in that same year, Gartner canceled its Hype Cycle for Big Data and many articles published about the demise of Big Data began to appear. In order to understand whether it has lived up to its hype, we should first understand what the differences are between Big Data and new buzzwords that have arisen, such as Fast Data .

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Topics: MPP, Message Oriented Middleware, Big Data, fast data, Message Queuing