Get yourself trained on Java 9 Functional with this Online Training Java 9 Functional Data Processing.
Online Training Java 9 Functional Data Processing
The course will introduce viewers to the different data structures available in Java 9, and how they can leverage them to process and manipulate data. We will start with a simple CSV data file, containing information about songs played on a music streaming service.The Videos will teach you about the data file that will be parsed using the Apache Commons framework, giving the audience exposure to using Maven for dependency management, and we will model the contents of the file using our previous song streaming example. The audience will then learn how to use loops to process, filter, and mutate the data in the file. As a bonus, at the end of the product we will learn how to simplify our processing logic using functional programming.About The AuthorAndrei Ruse, our Author is currently working with Colibri Ltd and has been working as a software developer in the financial services industry for over 3 years, and has over 6 years of experience with Java as a main programming language – both academically and professionally.Prior to his current role in a FinTech startup in London, he spent three years working for one of the world’s largest investment banks, having joined it straight after graduating from Manchester University with a degree in Computer ScienceColibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help their clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like Big Data, Data Science, Machine Learning, and Cloud Computing. Over the past few years they have worked with some of the world’s largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world’s most popular soft drinks companies, helping each of them to better make sense of their data, and process it in more intelligent ways.The company lives by their moto: Data -> Intelligence -> Action.
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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.