Get yourself trained on Data Science: Sparklyr with this Online Training Data Science: Sparklyr Basics for Beginners.
Online Training Data Science: Sparklyr Basics for Beginners
Welcome to this course: Data Science -Sparklyr Basics for Beginners. Apache Spark has been increasingly adopted for the development of distributed applications. In the past year, transforming the world using data is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance solutions that solve real problems. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily.In this course, you’ll learn:Understand the differences between working with data frames in R and SparkLearn to perform exploratory data analysis in Spark using sparklyrLearn how to connect to Spark locally or to a remote Spark clusterLearn how to build data products in R that don’t rely on storing big data locallyLearn how to interact with data in Apache Spark through sparklyr and Spark SQLAt the end of this course, you will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks.
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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.