White Paper: RM Dayton Analytics
Can High Volume and Velocity Big Data Applications Run Successfully on a Cloud Platform?
Some of the world’s largest companies are mothballing their behemoth in-house applications running on massively parallel processing databases in favor of cloud platforms. Whether on premise or off, you need to align the right set of skills when deploying big data in the cloud.
Read this executive briefing whitepaper to see real-world examples of the technologies and platforms that are being deployed on cloud platforms. It’s highlights:
What skills do you need in deploying big data in the cloud?
What is a data lake?
What are some of the technologies being used in near- and real-time large-scale cloud applications?
By: Intersec Group
The advent of open‐source technologies fueled big data initiatives with the intent to materialize new business models. The goal of big data projects often revolves around solving problems in addition to helping drive ROI and value across a business unit or entire organization. It’s often difficult to launch a big data project quickly due to competing business priorities; the myriad of technology choices available as well as, the sheer size, volume, and velocity of data. Key questions from this whitepaper: What are the common questions and challenges that the operators are facing when starting a Big Data project? What are the best practices to avoid being trapped in the ever‐lasting big data project that fails to generate any revenue? Should the big data project be carried out by the IT department or should it be led by a dedicated organization, under a new function like a Chief Data Officer, distinct from traditional IT?
An accessible self-service portal that offers a predefined catalog of demonstration can address many shortcomings and make life easier for both sales teams and prospective customers. By leveraging the maturity, scalability, maintainability and ease of use capabilities offered by CloudShell, sales and marketing teams can ensure a sustainable competitive advantage. This whitepaper on “Building Self Service Demo Clouds with CloudShell,” provides insights on how self-service demo clouds helps to deliver the products and services faster to market with better quality. Key takeaways from this whitepaper: Cloud-based self-service access: Delivering complex demo environments Demo and POC cost will make you non-competitive Demo Clouds give you a competitive advantage Cloud sandboxing enables effective demo clouds
What is Big Data ?
Big data is the act of collecting huge amount of enterprise data that can be used for future analysis. Big data helps all kind of industry data to grow securely that includes government, banking, retail, education and healthcare. Big data stores all kind of data including structured, unstructured and semi structured data, which contains valuable information about core functions of an enterprise such as finance, marketing, procurement.
What is Technology ?
Technology is the use of scientific knowledge for creating tools, processing actions and extracting of materials whether in industry or in our everyday lives. We apply technology in nearly all things that we do in our lives, we use technology at work, in communication, transportation, making food, extracting and securing information, running an organization and many more tasks, pretty much everywhere. Types of technology include information technology, banking technology, medical technology,
What is Cloud Computing ?
A type of internet-based computing, Cloud computing refers to delivery of computing services over the internet or "the cloud" instead of using local storage and computing. The different computing services include servers, storage, databases, networking, software, applications, and analytics. Cloud computing eliminates the need for hardware acquisition, maintenance, installation of software.