Ramya Shankar

Ramya Shankar's Posts

A cheerful, full of life and vibrant person, I hold a lot of dreams that I want to fulfill on my own. My passion for writing started with small diary entries and travel blogs, after which I have moved on to writing well-researched technical content. I find it fascinating to blend thoughts and research and shape them into something beautiful through my writing.

Software development cycle involves a lot of steps and takes time. DevOps is a practice that aims to reduce the time taken for the software development cycle to complete. The key for DevOps is “Automation”. DevOps practices work well with agile and continuous delivery methodologies, making the software ready to be released in very less time. With the use of DevOps, there is continuous improvement in systems delivery, creativity, and knowledge. Software developers can thus achieve more growth using these practices.

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Data Science vs Data Analytics

The world today is incomplete without data. Humongous amounts of data are generated by users every day. If this data can be somehow analyzed and interpreted to capture what the user wants and make innovations accordingly, we could bring in a revolutionary system where businesses can provide state-of-the-art solutions to the problems faced by a common man and that too at low costs. Better still, this system can improvise and improve itself to be more innovative by the day. This revolution is data science and involves data analytics, machine learning and much more. 

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