Why Data Scientists should consider switching from Python to Spark

Switching to Spark, Python runtime comparison. Python has been the language of choice for Data Scientists for last several years. It is easy to use, versatile, and tremendously rich in libraries – such as Pandas, Numpy, Sklearn, Keras, … not only are there many libraries, but the libraries are also mature and comprehensive.

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Why could the promise of Big Data and Analytics fail?

There is talk of big data and analytics all around and the organizations of all hues are excited about the promises that they hold. Analytics is expected to make organizations more competitive, more cost-efficient and more customer oriented. The most obvious sign of this excitement is the huge resource allocation to anything related to analytics …

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