Get yourself trained on Road to Big with this Online Training Road to Big Data testing(Cover all Prerequisite).
Online Training Road to Big Data testing(Cover all Prerequisite)
Section 1: Basic to Advance SQLWhile testing big data application, we have to play with huge amount of data every dataWhich could be raw data or processed data.To work with data in bigdata testing we will have to write and execute lot of queries in SQL is a pre-requisite to learn HiveQLSection 2: Python Python is a powerful, flexible, open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. Python is a popular, general-purpose programming language with an emphasis on being readable and allowing programmers to use fewer lines of code to accomplish tasks than in older languages. Libraries such as NumPy, SciPy, and Matplotlib make it useful for scientific computing. Python is an excellent tool for data analysis for four reasons: Open sourceSpeedSupportScopeSection 3 Big Data demands better shell skillsComplete Big data architecture would be setup on Unix machine, If we have prior understand of Unix and Shell script, it will be easy for us to work smoothlyThis course if very useful for professional who are looking opportunities in Manual and Automation Testing.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.