Get yourself trained on Scalable Java 9 with this Online Training Scalable Java 9 for the Connected Web.
Online Training Scalable Java 9 for the Connected Web
Java 9 is an all-new module system and comes with a rich feature set. The new language concepts, new APIs, and diagnostic commands will definitely be of interest to developers.The course will teach you to build your own REST API using the Spring Boot framework, and to consume data from an external API, by leveraging the REST and HTTP 2.0 protocols in a Java 9 application. This example will see us build a sentiment analyzer service that leverages the Google Cloud Sentiment Analysis API to provide sentiment information. We will start by building a simple wrapper around the Google Sentiment API, before starting to store requests in a text file and adding some statistical functionality to our requests.By the end of the course, you will have discovered the world of Java 9 programming using real-world examples.About the Author : Andrei RuseColibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as 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 all of them make better sense of their data and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.Andrei Ruse, our Author, is currently working with Colibri Ltd, has been working as a software developer in the financial service industry for over 3 years, and has over 6 years’ experience with Java as the 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 Science.
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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.