Get yourself trained on Java: Modular Programming with this Online Training Java: Modular Programming with Java 9: 2-in-1.
Online Training Java: Modular Programming with Java 9: 2-in-1
To build a standardized interface and enable the modules to communicate you need to partition your environment of software constructs into distinct modules to help minimize coupling, optimize application development, and reduce system complexity. Why Do We Need Modularity?To avoid small devices running the full JDK unnecessarily. Java 9 solved this by having the Jlink tool with the modularity concept.To remove the flaws in encapsulation. In Java 9, Public is no longer visible unless it is exported in module-info.java. It checks dependencies both the compile time and runtime. Even with reflection, we cannot access when it is not exported. To make our implementation hidden and expose it through interface.Improve security and maintainability. This comprehensive 2-in-1 course will help you understand the basic concepts of Modular Programming to build enterprise applications with Java. Youll get up-and-running with Java 9 more quickly. Youll start implementing Modular Programming easily will a step by step approach. Youll start writing modular Java code and use JDK to build a project jigsaw.. Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Learning Java 9 Modular Programming, covers the power of modular programming to build applications with Java Project Jigsaw! The course starts by diving deep into advanced Object Oriented concepts like inner classes, object composition, encapsulation, and polymorphism which will be demonstrated through a simple extension to a vehicle modeling example. Youll then learn how to correctly manage external dependencies in Java with the use of Maven. The second course, Java 9 New Features Deep Dive, covers new modular programming concept in Java 9 and how it will affect you and your clients ahead of time. The primary motivator for this video is to see it as a preparatory course for whats to come in Java 9. Youll emphasize on the impact, new features will have on development, and of course get the viewer actually writing out their own Java 9 code examples too. Youll start up with the setting up of Java 9 and learn the modularization concepts and then proceed to deployment. By the end of this training program youll explore the power of modular programming and build applications with Java Project Jigsaw! About the AuthorsColibri 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 it has 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 make better sense of its data and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. Hes spent the last 3-5 years helping his clients to design and implement huge scale streaming Big Data platforms, Cloud-based analytics stacks, and serverless architectures. He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the Big Data space. Since then hes worked with a huge range of Big Data tools including most of the Hadoop eco-system, Spark and many No-SQL technologies such as Cassandra, MongoDB, Redis and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey. James is an AWS certified solutions architect with several years experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of APIs and analytics stack based around Lambda and Redshift. Colibri is a technology consultancy company founded in 2015 by James Cross and the company works to help their clients navigate the rapidly changing and complex world of emerging technologies. He is interested in almost anything that has to do with technology. He has worked with everything from WordPress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it’s new and solves a problem in an innovative way hes keen to give it a go! Peter Verhas is a senior developer and software system architect with more than 30 years of software development experience. He currently works for EPAM as a senior developer, where he is involved in many customer projects and actively participates in the education activities of the company. Peter writes a technical blog and is committed to open source software development. He has been using Java since 2005 and is also an author at Java Code Geeks.
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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.